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A framework proposal for resilience assessment in traditional commercial centres: case of the historical bazaar of bursa as a resilient world heritage site

Abstract

Throughout history, the different cycles of change that traditional commercial centres (bazaars) have undergone in different Islamic cities call attention to the hidden abilities insuring their resilience until today. To understand the way in which these bazaar areas absorb and adapt to change, this paper investigates the resilience awareness of a specific case study ‘the bazaar of Bursa’, by dealing with key morphological, behavioural and institutional aspects. Several resilience assessment frameworks have been developed, including cultural, economic, and spatial proxies. However, most of them have focused on physical structures while assessing resilience concretely. This study represents a first step towards a Framework Proposal for resilience assessment in traditional commercial centres (bazaars) combining together tangible and intangible features specific to the historical bazaar of Bursa as a case study using a quantitative approach in a form of a survey. The findings showed a clear overlap between the tradesmen’s perception of factors affecting resilience in the bazaar of Bursa and those proposed by authors. This research may help decision-makers gain a better understanding of the key hidden factors promoting resilience in such historical urban fabrics and guide them in making adequate planning decisions in the future.

Introduction

For centuries, bazaars have played a vital role in the blooming of traditional Islamic cities. Historically, bazaars have been recognized as being the economic heart of Islamic cities since they represented the core of regional and worldwide trade and commerce [1]. Thanks to their significant role in performing the economic, cultural, and sometimes political transformation of cities, bazaars have become the generators of urban form and the definers of urban components [2]. Bazaar is considered in different definitions as a distinct part or quality of various civilisations. In Iran's historical centres, bazaar is similar to Plaza in pre-industrial European cities [3]. In traditional Iranian cities, the bazaar was also a core for people's social, political, cultural, and civic activities and can be comparable to the Forum and Agora in ancient Roman and Greek cities [4]. The commercial alleys that emerged in Anatolia during the Roman period continued to thrive during the Ottoman period during which, bazaars were evolved into landscapes that have not just economic or commercial aspects, but also social values [5]. For orientalists, the bazaar was the main distinguishing feature between cities in the Islamic and European worlds, while in recent theoretical frameworks, the bazaar is considered as a part of the development process, a quality rather than a physical realm [2].

All these characteristics have combined to allow the bazaar as a living cultural heritage not only to symbolize a distinct sense of place and local identity, but also to promote economic dynamics as a vital source of city marketing and tourism [6,7,8]. However, the link between bazaars and cities is continuously affected by the challenge of urban transformation and new dynamics of modern life. Being an essential component for Islamic cities' physical, economic, and socio-cultural long-term sustainability, bazaars are changing rapidly as a result of globalization and fast urbanization [9]. Yet, the core of the old city centre in most Islamic cities consists of historical commercial districts that retain many of their ancient qualities [5].

Few theoretical studies have been published on the resilience in bazaars like Tabriz, Isfahan and Istanbul cities as the oldest and most famous living bazaars [10,11,12,13,14]. Most of the cited researches have only focused on the physical structure, while no previous study has investigated a ‘Framework Proposal for Resilience Assessment’ related to historical bazaars by combining together tangible and intangible features characterizing these specific areas. This fact calls attention to the necessity to explore the hidden intangible and tangible features behind the bazaars’ resilience and their adaptability to change while withstanding modern life challenges. The bazaar of Bursa in Turkey is not far from these challenges. As a living World Heritage model, this bazaar has shown a considerable success in overcoming change and different historical thresholds that stimulated its dynamic adaptation. Being the first capital of the Ottoman Empire, as well as one of the five metropolises of contemporary Turkey, the city of Bursa has a rich historical and cultural heritage, and its identity constitutes both intangible and tangible qualities [15]. This indicates that Bursa bazaar has its own resilience and sustainability mechanisms, which makes us wonder;

  • How this specific area managed to keep its current dynamic spatial organization, architectural identity, socio-economic features and cultural values until today?

With the intention to answer this question and to give this research a direction, an identification of the major resilience traits behind the sustainability and the vibrancy of bazaars in Islamic cities especially in the case of Bursa are implemented by adopting contemporary concepts and theories of urban resilience. Besides, this study aims to shed light on the resilience tangible indicators that underlies the long-term viability of traditional bazaars and to discuss issues related to the hidden intangible abilities that have ensured their resilience for centuries. To accomplish these objectives, this study investigates the relationship between tangible components of resilience and intangible resilience enhancing factors in the bazaar of Bursa through their verification on the ground using a survey method. This work has the potential to make a substantial advance since it will aid in the development of a concrete framework for measuring resilience in such historical areas. The framework may be applied not just to Bursa, but also to other historical bazaars where this research might make a significant contribution.

Literature review

Resilience theory emphasizes on the abilities that people and systems have which allow them to overcome adversity [16]. It focuses also on the manner in which systems may profit from disturbances that are required to boost the system's vibrancy and variety over the long-term [17]. The term “Resilience” is used differently across various disciplines and it often refers to the capacity of an entity to anticipate, resist, absorb, respond to, adapt to, and recover from a perturbation or change [18]. The resilience of a system can be defined as the ability to cope with disruptions while preserving its key functions, spatial configurations, feedbacks and identities [17]. In socio-ecological systems, the adaptive cycle established by [19] has respectively become the essential foundation of the socio-ecological resilience thinking. It focuses on the characteristic patterns that emerge from studying ecosystem dynamics, changes, and renewals [20]. Therefore, the adaptive cycle is used in modern science to describe these processes that occur on numerous spatial and temporal domains [21].

Interdisciplinary resilience assessment approaches

There is a variety of resilience studies that aim to understand the factors behind the sustainability and resilience of cities considered in the literature as intrinsically changing complex systems that have their own organization and dynamics [22]. Different proxies and parameters have been attributed to resilient cities in terms of their ability to persist, adapt and respond to disturbances [23]. However, cities that can not only adjust to shocks, but also to identify new opportunities and perform even better in the face of adversity are considered as the most resilient ones [24]. The notions of resistance and persistence of cities to change were behind the apparition of new concepts such as ‘Urban Resilience’ that refers to the capacity of an urban system including all of its components-throughout temporal and spatial scales- to sustain or rapidly return to main functions in the face of a disturbance, to embrace change, and to rapidly transform systems that limit current or future adaptive capacity [25]. In this regard, various researches have traced the advances in robustness and adaptability concepts which are an integral part of resilience assessment in relation to cities [26,27,28,29]. Consequently, many key indicators have been defined as factors behind the resilience of urban fabrics namely: diversity, adaptability, flexibility, modularity, recovery, redundancy and efficiency. However, since each urban scale has unique and distinct dynamics, specific assessment frameworks must be developed to analyze different urban components.

Community resilience as an integral part of urban resilience assessment has been widely studied through various indicators namely adaptation, transformation, learning, self-organization, and acceptance of change, with the need to maintain the focus on anticipating and preparing for potential change and to consider these indicators across economic, ecological, social and institutional dimensions as the most influenced by the adaptive capacity of communities [30,31,32]. The investigation of the adaptive capacity of communities has revealed key abilities namely: accumulating and learning from the lived experiences, transforming this experiences into a way of learning, innovating and reorganizing resources to be able to adapt to environmental changes as required, and making a connection inside and outside the community to share experiences and lessons learned, self-organize or reorganize in the absence of leadership [21, 33, 34]. Moreover, the resilience assessment of a community has been widely linked to various capacities namely connectedness, diversity, performance, redundancy, innovative learning and institutional memory [31, 33].

Emerging urban resilience assessment frameworks

The variety of indicators included in resilience assessment frameworks reflects the diversity of theories and methodologies emerging from research in the Resilience field. These studies have tried to examine resilience from different angles and through multiple aspects. As an emergent concept, urban resilience focuses on examining how cities absorb and then adapt to change. This ability of cities to persist has been widely investigated [23, 25, 35,36,37,38,39,40,41,42,43] and several specific assessment frameworks such as ‘Rockefeller resilience assessment’ and ‘100 resilient cities’ have been established in connection to different criteria and urban layers [25, 40, 41, 44, 45]. For instance, scholars have suggested frameworks for assessing urban resilience mainly in Western cities, in connection to the physical characteristics of urban form [41, 44, 46,47,48], to the morphological and architectural features of buildings in Iranian historical city centres [14, 49,50,51,52], or even in relation to multiple urban, environmental and socio-economic scales using mathematical approach [29]. All the preceding frameworks have concentrated on measuring or defining various resilience criteria in connection to various scales, with little attention paid to assessing the intangible resilience promoting features, values, and behaviours unique to the historical commercial centres. Among all these studies and frameworks, the works of [53] and [44] have been chosen as a basis of this research in order to establish a resilience assessment framework that includes both local intangible criteria specific to the historical bazaar area and key tangible features to consider while assessing urban resilience.

The works of [40, 41, 44] represent almost a unique example of assessing the main resilience tangible proxies in Western historical centres related to different urban forms and scales based on a long multidisciplinary review of literature. The assessed proxies included structural proxies namely: diversity, connectivity, redundancy, modularity, and efficiency. Besides, many behavioural proxies were proposed such as: cohesion and identity, learning and innovation, flexibility, self-organization, self-efficiency, responsiveness and synergy. However, this approach mainly focused on the measurement of tangible proxies by exploring the general implications of each proxy at different urban scale without taking into consideration the behavioural side in the measurement.

The work of [51] focused on the fundamental abilities to consider while evaluating urban resilience in a specific type of resilient landscapes “the historical bazaar areas” by identifying key intangible factors that foster their resilience namely: governance, adaptability, learning from the past, long-term planning, diversity and self-organization. These baseline determinants of resilience have been gathered after a long literature review under the term ‘GALLDS’ which relates to the initial letter of each indicator. However, the ‘GALLDS’ assessment model was insufficient for measuring both intangible and tangible resilience indicators simultaneously, and seems to be much more subjective in the absence of concrete application to validate its claims. Furthermore, this model does not give a clear means for measuring relevant proxies. This study intends to refine the ‘GALLDS’ model by addressing its flaws, and testing it on the case of Bursa bazaar.

Methods and methodologies

In this part of this study, it is aimed to introduce the ‘GALLDS’ assessment framework as a significant tool to depict the hidden resilience mechanisms in historical city centres. The ‘GALLDS’ defined six intangible resilience proxies namely governance, adaptability, learning from the past, long-term planning, diversity and self-organization. While defining these proxies, different indicators linked to resilience assessment in the literature have been investigated. However, it did not assign a precise and concrete assessment approach. In the content of this paper, in order to provide such approach, the ‘GALLDS’ model has been improved by taking advantage of previous frameworks and researches namely those established by [40, 41, 54, 55].

The ‘GALLDS’: an assessment framework for traditional commercial centres

The ‘GALLDS’ is a vital resilience assessment tool designed for the historical bazaar areas; it explores the hidden intangible features considered in literature as key elements behind the resilience of communities and historical urban landscapes in continuous adaptability to change. The ‘GALLDS’ comprehensive framework presents the advantage of adding the intangible side as a key element to consider while assessing resilience in historical bazaar areas by emphasizing resilience intangible features which have rarely been treated or assessed by scholars while assessing urban resilience in such historical areas. It claims that in addition to the various tangible qualities that these traditional commercial centres posses, they have likewise their own specific intangible qualities that guaranteed their viability for centuries and enhanced their resilience to absorb the various and continuous changes [53]. The examined features are considered as key factors keeping the economic viability and attractiveness alive in most of Islamic city centres. Therefore, there is a need to improve the ‘GALLDS’ model in order to make it consider both tangible and intangible features, besides, specifying a measurement method or even the measurable elements that can be integrated under each indicator to be assessed in a concrete way is required.

Materials of the research

This section describes the content as well as the suggested possible ‘GALLDS’ sub-indicators to be measured while assessing urban resilience in the bazaar area.

Governance

Governance is considered as an important policy-making factor influencing and shaping urban resilience [56] and engaging in the dynamics of interaction between the public sector and the civil society’s actors [57]. Adaptive co-management is a key part in governance theories since it engages in interconnecting old knowledge, from a variety of sources, into new paths and opportunities for practice [58] and explicitly highlights the need of combining adaptive management with institutions across scales [59]. This diversity of actors and backgrounds in governance makes for better problem-solving [60] as diversity provides more paths towards solution-finding [61]. In the particular context of the bazaar areas, the definition of governance encompasses the process of collective organization and management, formulation and implementation of policies by a group of stakeholders coming from diverse sectors such as traditional systems (Waqf, Guilds), civil society, business and government with the purpose of working together on addressing common problems.

Adaptability

Adaptability is a significant resilience indicator that refers to the ability of actors in a system to influence or manage resilience [31, 62]. Thus, resilience in this context captures the adaptive ability of a system to absorb, adjust and reorganize itself when facing change while essentially maintaining its structure, function and identity [62]. In fact, when talking about urban systems, the concept of adaptability highlights the capacity to adapt itself to external or internal changes while continuing its development within its current environment. There is a growing body of literature on the potential in combining spatial and functional adaptability and flexibility to cope with change [59, 63, 64]. For [65], the key of success in the face of an external shock is not the ability to return to an existing equilibrium, but the ability to create new pathways. In the case of the bazaar area, the capacity to adapt to different pressures is a crucial component of cultivating its own spatial and functional flexibility that can evolve into a creative adaptive ability by embracing innovation.

Learning from the past experiences

Learning in the resilience sense refers to the social and institutional learning, as in learning-by-doing [66]. Combining different kinds of knowledge can provide leading to creative problem-solving in the face of crisis and uncertainty [67]. Relatively, redundancy is one of the most vital problem-solving capacities that can characterise a resilient urban system [41]. It is what gives the system the buffer capacity to use alternative resources or paths when the principal ones are lost [68]. Redundancy includes different ways to achieve needs and can be explained with the repetition of the same elements, in order to guarantee the functionality of the systems in case of emergency events [69]. Redundancy in the bazaar area takes many forms, including the multi-functionality of space that can be adapted to change or disturbances, as well as variability because redundant spaces can absorb a variety of urban functions if necessary [70]. Many of these spaces support a variety of services, which were able to sustain the functioning of communities when conventional infrastructure failed [71].

Long-term perspectives

Long-term perspective is a strategy for increasing an area's preparedness for future occurrences or disruptions [56]. In this context, when it comes to enhancing long-term urban resilience in cities, connectivity emerges as a significant indicator as it helps to improve the quality of life, liveability and sustainable mobility in urban areas [72,73,74,75]. When connectivity is high in an area, the movement of people and goods is more comfortable which promotes a higher level of social and economic activities [76]. In fact, connectivity became central in resilience assessment literature [47, 77, 78] as a tool for promoting higher interaction between elements of the urban fabric, then stimulating the emergence of new patterns and functionalities [79]. One of the key indicators reinforcing the long-term urban resilience in the bazaar area can be seen most in the changing connections by either modifying their strength, nature (pedestrian-traffic or bike path) or layout (removing old connections-forming new ones) which improves continually the inter-connectivity of the area either internally or externally with its surrounding environment.

Diversity

In assessing urban resilience, the notion of diversity is often taken into consideration. The concept of diversity is strongly linked with the intense use of space in an urban area. This intensity allows a higher variety of space uses and diversity of activities leading to a prospering and successful multi-functional urban tissue [54]. Diversity spreads risks by generating redundancy, creating buffers, and opening up multiple strategies from which humans can learn in situations when uncertainty is high [80]. It plays a vital role in the reorganization and renewal processes of systems that have been disturbed [59, 81]. Diversity is thus seen as a key feature for dealing with change in productive ways [80]. In urban theory, the attributes of diversity include mixed use, short blocks, variety of building age, density, land use [40, 41], spatial heterogeneity [82], functional diversity [83,84,85,86]. In the case of the bazaar, the diversity and creative variety of both functions and building age are key factors ensuring the mechanisms of resilience over time.

Self-organization

The resilience of a system is closely related to its capacity for self-organization because nature’s cycles involve renewal and reorganization [87]. Self-organization is considered as an emergent property in resilience theory [59, 88]. Several aspects of self-organization have been discussed in literature in relation to decreasing vulnerability to hazards [89,90,91]. However, when focusing on the social interpretation of self-organization, much social behaviour that allows a system to develop autonomously emerges, namely the sense of belonging and solidarity. The sense of belonging to a place reflects a feeling of ‘togetherness’ and common destiny [92]. Traditional structures such as the Waqf and Guild systems have played a key role in maintaining these human values among traders and have been a key characteristic in the self-organization process which allowed the renewal of the bazaar area and its emergence.

Limitations of the ‘GALLDS’ model to assess the intangible and tangible proxies

In general, up to date, there is still no absolute agreement on the exact interpretation of resilience that should be used when assessing urban resilience. In order to fill this need, this study combines the evaluation of the essential tangible and intangible qualities with a specific resilience assessment in the Bursa bazaar by developing the content of the 'GALLDS' framework proposed by [53] with the addition of the emergent measurable resilience proxies in literature and those identified by [54] as tangible measurable proxies. This mixing might serve as a guide to help decision-makers gain a better understanding of the key factors promoting resilience in historical bazaar areas and guide them in making adequate planning decisions in the future.

In order to apply this assessment framework on the ground, this paper has used a quantitative approach (questionnaire/survey) to document and assess the urban resilience by specifically improving the ability of the ‘GALLDS’ model in depicting the hidden dimensions behind the sustainability of the bazaar area of Bursa (our case study) until today. In ‘GALLDS’ model, authors only mentioned the key features to consider in assessing resilience without clearly define a measurement approach, however there is a need to provide concrete methods which make them measurable.

An alternative approach for resilience assessment in the bazaar area

Within the scope of this study, it is attempted to develop a method for measuring the indicators defined in the ‘GALLDS’ framework by considering the emergent resilience indicators and their assessment methods from the literature analysis. Yet, in the content of this study, it is desired to make these proxies and other tangible and intangible indicators that can fall under measurable. To achieve this goal, different structural (tangible) proxies related to the morphological and spatial resilience in the bazaar namely: land use diversity, redundancy, connectivity and accessibility as well as the main intangible proxies linked to the behavioural factors influencing the social and institutional sustainability in the bazaar namely: belonging, solidarity, self-organization, and governance have been explored through specific questions addressed in their totality to the tradesmen in the bazaar of Bursa. The importance of the presented questions comes from the fact that each of the selected proxies that measure is considered in literature as a significant factor while assessing urban and community resilience.

After the determination of the proposed proxies and indicators, the validity of the produced alternative framework was investigated by the deployment of a survey aimed at assessing urban resilience in the case study of Bursa (full detailed questions and answers could be provided by authors upon request). In this regard, questions were developed to address three prime dimensions: Structural-Spatial (Morphological), Social-Behavioural and Institutional-Management scales, all of which are interconnected and meant to offer economic vibrancy and sustainability in the Bursa bazaar as a whole. A total of 30 items were presented to assess the most prominent tangible and intangible resilience sub-indicators in the literature that could be measured (Table 1).

Table 1 Survey themes in relation to the proposed resilience sub-indicators and items in regard to the conceptual model of study

The questionnaire includes subjective and objective questions, where tradesmen were asked about items in relation to these three main scales. Topics focused mainly on examining the various resilience proxies that contribute to the bazaars’ resilience from the perspective of traders. It comprises items on various tangible and intangible traits and their pattern of use in the selected areas (Table 1). Data for this study were collected during the last quarter of 2020 from a sample of 100 tradesmen in different parts of the Bursa Covered Bazaar and HansFootnote 1 District, namely ‘Bedesten’,Footnote 2 ‘Havlucular’,Footnote 3 ‘Koza Han’,Footnote 4‘Bakircilar’,Footnote 5‘Uzun Carsi’Footnote 6 as the most famous parts of the bazaar, the rest includes different alleys and Hans of the bazaar area. The distribution of the age range is seen as < 40 (17 persons), 41–50 (28 persons), 51–60 (17 persons), > 60 (38 persons). Once collected, the questionnaire responses were factor analyzed to explore the principal factors affecting resilience in the Bursa bazaar area from the viewpoint of the tradesmen. The Factor Analyses were performed with the AMOS 21.0 software program in order to generate accurate results.

Case study

The chosen case study for our research is the historical bazaar of the city of Bursa. Bursa is considered as an important city for the Ottoman dynasty as it was the first capital of the Ottoman Empire. Since the thirteenth century, Bursa within its bazaar has become an interesting commercial crossroad linking East to West, and taking place on the most important trade routes of Anatolia; the ‘Silk Road’. The historical bazaar, being situated in the city centre of Bursa and covering approximately 46 hectares, has functioned as the heart of trade activity in the city throughout centuries [110].

In fact, the initial buildings of the area, such as the Emir Khan, Orhan Mosque and Orhan Turkish Bath, were built in the fourteenth century [111]. The area aroused the interest of merchants either local or foreign ones and led to the building of more retail units. The area continued to grow and by the sixteenth century the early growth of Bursa’s historical commercial centre was complete [111]. In the seventeenth century, the area counted 3170 retail units [112] however the growth did not stop. Currently, the area comprises 3500 retail units where approximately 5000 employees and employers work. Besides, nearly 200.000 users visit the area per day for both commercial and social purposes [111].

The modern marking date was in 2014, when the bazaar of Bursa was officially inscribed as a World Heritage Site by UNESCO. Now, it is considered as a valuable historical heritage not only in Turkey but also worldwide (Fig. 1). These facts strongly supported our choice of the bazaar of Bursa as a specific study area for our research.

Fig. 1
figure 1

The UNESCO delimitation of the Bursa Bazaar and Hans District within the survery localisations. Map Source: Adapted from Bursa Metropolitan Municipality 2021-Photo Source: Authors 2022

Results and discussion

The quantitative data collected by the means of questionnaire, the Statistical Package for Social Sciences (SPSS) 26.0 and the Analysis of Moment Structures (AMOS) 21.0 were used for this analysis. The two main factor analysis techniques of (SPSS) namely Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were employed for this analysis. Both models are theoretical structures as well as data analysis techniques; both types of factor analysis are based on matrix algebra when computing their calculations. Best discussions of theoretical use, scientific context and mathematical methods are given by [113,114,115,116]. Exploratory Factor Analysis method (EFA) was carried out, from the matrices of Pearson correlation to statistically determine the construct validity of the scales. After the determination of the factor structures, the validity of the analyzed factors was discussed using Confirmatory Factor Analysis (CFA). The (EFA) method enabled the determination of the statistical measures such as Kaiser–Meyer–Olkin (KMO) and Bartlett tests that determine whether the scales were suitable for factor analysis. To assess the sample size, the KMO coefficient was calculated. In Table 2, a strong KMO equal to 0.915 indicated that sampling is adequate to assess the factorability of the data and that factor analysis is useful for the variables. KMO value varies from 0 to 1. The KMO values between 0.8 to 1.0 indicate that the sampling is adequate. Values between 0.7 to 0.79 are middling and values between 0.6 to 0.69 are mediocre [117, 118]. Moreover, a significant Bartlett’s test of Sphericity with a significant value (p < 0.05) indicated that factor analysis may be worthwhile for the dataset of our study [119, 120].

Table 2 KMO and Bartlett’s test results

In order to identify the dataset's suitability for factor analysis, sample size and the strength of the link between the items should be examined [117, 121]. To identify the strength of the relationship among the items, the correlation matrix must provide evidence of a coefficient of correlation greater than 0.3 [122]. In this study, Correlation analysis showed that there is no item with low value in the scales (correlation > 0.300). In addition, item-total correlations and Cronbach's alpha reliability values were investigated in the case of item deletion.

Cronbach's alpha (reliability factor) was employed in the internal consistency analysis [123, 124]. Cronbach’s alpha coefficients were calculated for each factor with its items, Confirmatory Factor Analysis (CFA) was implemented using AMOS and results indicated that the reliability level of scales was quite high with a value of 0.714 (Cronbach Alpha > 0.600) (Table 3).

Table 3 Cronbach alpha for internal consistency analysis and factor distribution

Findings in Table 3 showed that the Structural-Spatial (Morphological) factor loadings consisted of 3 items ranging from 0.815 to 0.758 with a variance rate of 24.720%. The second Management-Governance factor loadings consisted of 3 items ranging from 0.854 to 0.734 with a variance rate of 24.455%. While the last Social-Behavioural factor loadings consisted of 2 items ranging from 0.881 to 0.858 with a variance rate of 20.340%. One item with overlapping problem in the Management-Governance factor and other item in different dimension in the Structural-Spatial factor were removed from the scale.

For the correlation and reliability analysis, the Kurtosis and Skewness values obtained from the scale scores between + 3 and − 3 are considered sufficient for a normal distribution [125,126,127,128]. The association between three very different important agents of influence on resilience were analyzed: Social-Behavioural, Management-Governance, Structural-Spatial (Morphological). Based on the factor analysis results, the average values of the related questions were used while calculating the sub-dimensions and total scores. Pearson correlations were used to analyse the validity of the scale and quantify the degree of association between the studied scales. A perfect connection would have a Pearson correlation matrix of 1.0, a slope of 1.0, and an intercept of 0.0 [129]. The diagonal element of the matrix has always the value 1 (i.e., the correlation of a variable within itself). Depending on the results of statistical analysis, there was a significant association between the studied scales. The total score values were computed by taking the average values of the valid scales' related questions (Table 4).

Table 4 The association between scale scores

The Structural-Spatial scale with Social-Behavioural scale’s score has a correlation value of (r = 0.267) with a scale total score of (r = 0.628) which reflected a positive, statistically significant association between the scale total (p < 0.05). The Structural-Spatial scale with Management-Governance scale’s score showed a correlation value of (r = 0.255) with a scale total score of (r = 0.702) which indicated that there was a positive, statistically significant association between the scale total scores (p < 0.05). There was appositive correlation between the Structural-Spatial scale’s score (r = 0.758) and the scale total score, which represented a positive, statistically significant association between the scale total scores (p < 0.05).

As a result of this correlation analysis, there were no items with low factor loadings (β > 0.300), and all items were significant for the factor analysis (p < 0.05) (Table 5). Factor analyses were re-applied to the remaining 8 items to examine the resilience indicators that were resulted in three valid scales. For these new factor analyses, reliability statics, KMO and Bartlett’s test calculations were repeated in regard to extracted set of items. These new analyses also indicated sufficient aggregate variance to use factor analysis. Data analyses were established by SPSS 26.0 software program and studied with 95% confidence level. Frequency (n) and percentage (%) were given for categorical (qualitative) variables, mean value (X) was given for numerical (quantitative) variables, standard deviation (Std.d), standard error (Std.E), minimum and maximum statistics were given. Pearson correlations, an independent sample t-test and ANOVA test were used for data analysis.

Table 5 Scale item and factor distribution

To determine the suitability of the questionnaire tested in the Confirmatory Factor Analysis (CFA), the conformity indices were calculated by (CFA). The results of the calculated indices namely the ‘Absolut Fit’ that measures how well the suggested model matches the observed covariance (RMR, GFI, RMSEA) and the ‘Incremental Fit’ that performs a comparison of the proposed model to a realistic null or baseline model (AGFI, NFI, TLI CFI) were met within acceptable limits (Table 6). The (CFA) analyses for scale validity were carried out using the AMOS 21.0 software program.

Table 6 The cut-off value for evaluating each Fit in literature

To determine the number of significant factors, the scree plot test was employed. Factor analysis in this process resulted in three valid factors. The examination of the scree plot showed a factor distribution with an Eigen value greater than 1, it indicates 3. Since the structure of the scale was suitable for 3 factors, the first part of the analysis was continued on 3 valid factors (Fig. 2).

Fig. 2
figure 2

Scree plot of factor distribution

In order to illustrate the empirical possibilities of the measurement of the ‘GALLDS’, three variables were selected. These examined variables seem to have a potential influence on urban resilience according to the literature. Objective and subjective questions have been established according to 3 scales. Each scale contains selected items that are strong among others characterizing a resilient urban system; then the connectivity-accessibility (through questions 7,8,9) have been chosen as a significant indicator enhancing the spatial resilience in the bazaar area. Among the human values and behaviours strengthening the social resilience in the bazaar of Bursa, the sense of solidarity among merchants has been evaluated (through questions 1,2). Management-Governance as a significant resilience indicator in the bazaar has been assessed in relation to the role of the Waqf system as the promoter of economic sustainability and the most important traditional model of co-management in the bazaar area (through questions 3,4,5) (Fig. 3).

Fig. 3
figure 3

CFA Path Diagram of three factors of resilience established with AMOS 21.0

Governance

The resilience of the built fabric and the continuity and stability of the urban process in the bazaar of Bursa remained almost efficient during centuries and depended to a large degree upon the dual role of social institutions represented by the Waqf and Guild systems as a key promoter of urban and socio-economic resilience. Focusing on the Guild system, this traditional institution has assured governance for centuries by ensuring social equity, solidarity, and co-management in the bazaar area.

The multiplicity of the roles played by the Guilds is explained by the diversity of functions that they possessed, whether administrative, fiscal, social or even economic [137]. Each of them was organized according to well-defined cultural customs and intangible rules, transmitted orally from one generation to the next. In addition to their social and administrative functions, the main concern of the branches of Guilds was to take responsibility for developing a mechanism of self-control between merchants and the organization of economic relations between traders. In several particular trades, it was usual that stores or workshops were grouped together in the same location. These clusters appear in the form of an assigned sector in a specific area, street or a neighbourhood.

Thus, the main objective of Guilds was to protect the same professions from the possible illegal competition which could exist between them. Besides facilitating supervision and control, this spatial and professional grouping raised the sense of cohesion and solidarity that have been guaranteed between traders thanks to many unwritten rules and customs continuing until today. For instance, merchants would position a chair in front of their shops to symbolize that they had not yet had a client, which was one of the most humanitarian and kind traditions about the first customer's first gain. As a result, when nearby merchants noticed that their neighbour has not yet gained, they claimed that the desired goods were unavailable and redirected the clients to the neighbouring store as a noble practice to share the benefits. Other example of these living customs can be seen in the organization of outdoors collective meals (Iftar) in the bazaar streets during the fasting month (Ramadan), which deepens merchants' relationships and sense of community.

Due to the fast changes in contemporary and political life, new governance systems were established in the Bursa bazaar area today (municipality, local authorities etc…). However, these changes appear to be required since one of the beneficial methods to shape resilience over time is to allow changing kinds of governance [56]. Yet, the traces of the Guild system, which adapts itself to the contemporary conditions of the day, continue to exist today as an organization of merchants under the name of the Union of Bursa Historical Bazaar and Khans’ District. This organization ensures both the regulation of the relations among the merchants, and the relations between the local administrations and the merchants and the participation of the merchants as decision makers in the transformation process. In this context, the survey results showed that 0.87% of the tradesmen approved the presence of the Union in the bazaar of Bursa, 0.75% of them had a membership to the Union, which reflects the survival of this ancestral tradition of Guilds that has guaranteed the continuity of socio-economic sustainability in this district.

Adaptability

The continuous flexibility in replacing activities as required in the bazaar area enhanced a remarkable capacity of adaptability and resilience to sudden change or disturbances, which helped this area to persist for centuries.

Findings in Table 7 showed that the overall activity period revealed that 34.0% of the tradesmen had exercised for duration between 21 and 40 years, while 21.0% had worked for more than 40 years. This extended period of trading activity could explain the high degree of skill, competence and adaptive capacity possessed by more than 50.0% of the merchants surveyed.

Table 7 Distribution of information on the structural indicator of adaptability through the sub-indicators of flexibility and renewal

The high sectorial flexibility that has distinguished the Bursa bazaar for centuries continues to shape the bazaar's identity and adaptability. It could be noticed in the percentage of tradesmen that have made changes in their shops (58.0%) or even in their activities (61.0%). The cause of 96.6% of modifications implemented in shops has been defined as decoration and renovation repairs; even though most shops were located in historical buildings, the nature of businesses was constantly changing to meet the new necessities of modern lifestyle. This adaptive change tendency is backed by the fact that 61.0% of activities have been replaced by new ones, reflecting a sense of renewal while adapting to new living conditions and rapid societal changes in the investigated sectors.

Another factor that has contributed to the bazaar's overall survival and physical flexibility and renewal was the participation of local authorities in managing and conserving the bazaar area via the use of continual repairs and rehabilitation efforts that have previously been made mainly by the Waqf system. The evaluation of the role of the Waqf system as a significant promoter behind managing and conserving the bazaar area showed a lower distribution with low mean value (see Table 9). It can be explained by the decline in the role of the Waqf in managing the bazaar affairs at the present time compared to its active role in the past.

Today, the maintenance role that has been exercised by traditional institutions (Waqfs) has been transmitted to local authorities and new institutions which have the same goal of safeguarding this historical area while adapting itself to continuous change (municipality and other local authorities, craftsmen's room and union of tradesmen in Bursa) (Fig. 4).

Fig. 4
figure 4

Left: maintenance attempts analysis related to the historical bazaar of Bursa. Map Source: Adapted from Bursa Metropolitan Municipality 2019. Right: examples of modern high cover design in the bazaar area. Photo Source: Authors 2022

Learning from the past

The past experiences lived in the bazaar of Bursa have formed a kind of learning and enough consciousness to anticipate the worst, in this regard, redundant street network was a creative problem-solving that made the bazaar area survive in the face of crisis and uncertainty.

Given that redundant street networks allow for the optimization of more efficient pathways via secondary paths, the results in Table 8 agreed with the redundant street networks concept. Findings showed the presence of many alternative ways and routes connecting each shop under investigation with the rest of the bazaar area (85.0% of shops were accessible by more than one alternative route). This network redundancy broadens the choice of destinations available to each shop, as well as their interconnection both internally and externally. For centuries, the rich secondary paths and variety of main commercial alleys that characterised Bursa bazaar have facilitated the circulation of people and goods and attracted a higher intensity of social and economic activities. Furthermore, findings revealed that functional redundancy was an important problem-solving strategy in the Bursa bazaar; 43.0% of merchants had a second branch of their shops, and 30.2% of the secondary branches were located on the same street comparing to 46.5% of branches that were in other streets of the bazaar, in another part of the city (20.9%) or abroad (2.3%); this multi-functionality of space has ensured the adaptation to continuous changes that affected the bazaar which made easier the functionality of the bazaar as a whole in case of emergency or crises. These findings supported those revealed by the survey related to the modal proposal for the Bursa historical bazaar management plan established by [138] which was administered to a far larger number of merchants. In terms of functional redundancy and secondary branches, almost half of the 470 businesses who answered did not have a branch, while the other half did. The great majority of branches were in the bazaar area, either on the same street or in various zones of the bazaar.

Table 8 Distribution of information on the indicator of learning through the sub-indicator of redundancy

Long-term perspectives

Connectivity and accessibility represented one of the most important long-term urban interventions implemented in the bazaar district of Bursa.

The evaluation of items for the three valid scales as shown in Table 9 were measured by a five-point Likert scale, ranging from strongly disagree (1) to strongly agree (5). Additionally, item no 6 that has an overlapping problem and item no10 that was in different dimension were removed from the scale. Results showed that the structural-spatial (morphological) items related to the connectivity and accessibility has the highest distribution since their mean value was remarkably higher than the other items.

Table 9 Distribution of participation levels regarding scale expressions (1: strongly disagree,2: disagree,3: neutral,4: agree,5: strongly agree)

The high mean values of the Morphological scale indicated that tradesmen were aware of the importance and effects of the connectivity-accessibility on the prosperity of their business. Various urban interventions have been established in this historical area to adapt it to the new needs required by modern lifestyle responding then to the modernization of the Ottoman Empire. All the previous interventions had the purpose to enhance the internal connection of the bazaar area as well as its connection with the adjacent urban environment. For instance, the opening of the ‘Cumhuriyet Street’ in the nineteenth century and then its pedestrianization in 2011 have represented significant examples of the long-term planning strategies in the bazaar of Bursa. The impact of these urban interventions may be seen in the ease of access to both shops and the bazaar area. (According to the survey results, 38.0% of tradesmen used their personal vehicles, 38.0% used public transport, 2.0% used motor or bike and 22.0% of them preferred walking). Until today, the ‘Cumhuriyet Street’ within the open roads in the nineteenth and twentieth centuries continues to provide a high spatial connection and accessibility to pedestrians and vehicles as an important street network intervention. As a result of this evolution, the organic structure of the area has given way to axial roads and has become more accessible and connected to the city (Fig. 5).

Fig. 5
figure 5

Source: Authors

The evolution of Bursa bazaar morphology from an organic tissue before 1862 to an axial path during the 19 h and twentieth centuries shown on recent map of 2021.

Diversity

Bursa has a greater bazaar compared to other cities thanks to its location alongside the most important trade routes: the ‘Silk Road’. The spatial organization of the commercial structures in the historical bazaar of Bursa reflects an urban development approach specific to Early Ottoman cities. This district includes traditional Ottoman style commercial buildings, like Khan, Bedesten, Covered Bazaar and open bazaar areas and does not include residential area inside the district [139]. Throughout history, diverse sectors meeting the daily life needs have been hosted in the historical bazaar of Bursa. These sectors varied from potters, shoemakers, fabric manufacturers, leather crafts…etc. However, due to changing lifestyles and the need to adjust to different demands, some sectors have evolved or been replaced by new ones (Fig. 6). Among the various activities and sectors subject of this survey, we can notice the richness of land use that includes clothing (27.0%), home textiles (23.0%) and jewellery (12.0%). Besides, different other sectors like floristry, currency exchangers, carpet maker, gift shops, paperworkand bookstore, mercers, furniture, optician, retail trade, watch making, tailoring and glassware stores were among the questioned sectors in this survey.

Fig. 6
figure 6

Source: Authors 2020

Land us diversity in the bazaar of Bursa.

For instance, the leather crafts and cooper makers sectors have been replaced by new ones such as watch making, jewellery, apparel and exchange offices to meet the modern life needs. This flexibility in evolution and adaptability of land use highlights the strong and resilient character of this historical area. Which means that Bursa bazaar is not at its final stage; instead, it is changing and will keep evolving thanks to its resilient landscape. Nonetheless, various difficulties and circumstances are prevalent and endanger both the diversity and viability of activities and sectors. From the point of view of merchants, 36.0% of them consider the increasing prices as a threat, while 50.0% of them claim that foreign competition and imported goods are the most perilous threat that can negatively affect their activities. When we investigated about the causes affecting the bazaar area as a whole, we were told that the tragedies wrought by previous fires had not yet been eradicated from the traders' collective memory (Fires in 1402, 1413, 1491, 1493, 1512, 1518, 1519, 1521, 1544, 1584, 1589, 1608, 1723, 1729, 1743, 1755, 1757, 1765, 1767, 1770, 1771, 1773, 1855, 1863, 1870, 1889, 1904, 1922, 1927, 1958, 2015), which explains the fact that 45.0% of merchants put fires in the first place as a major danger threatening the bazaar area in its entirety. These risks identified by merchants from many sectors can assist local authorities in making decisions to promote the bazaar in terms of preserving activities, enhancing land use variety, and averting multiple hazards that might damage the entire bazaar area.

Self-organization

For centuries, certain human qualities and social behaviours including solidarity and strong sense of belonging have been attributed to the resilience and sustainability of the Bursa bazaar. Despite the commercial competitiveness, more than 60% of tradesmen acknowledged to excellent neighbourliness, solidarity and unity (see Table 9). Likewise, findings showed that a strong sense of belonging is a crucial social resilience enhancer among traders. The accompanying table aimed to assess the sense of belonging as a vital booster of self-organization in the bazaar area (Table 10).

Table 10 Distribution of information on the social indicator of self-organization through the sub-indicator of belonging (behaviour)

According to the results presented in Table 10, there are two key factors behind the high sense of belonging in the Bursa bazaar. The birthplace of the 79.0% of the questioned merchants, Bursa, could explain the first factor of this belonging; thus, belonging to the city of Bursa has played a crucial role in the continuity of 56.0% of them in their commercial sectors for at least one generation, while 18.0% of traders born in Bursa have been in the same sector for two or three generations. This passing down of skills and expertise from generation to the next has been one of the most essential factors in fostering a sense of belonging to both the profession and the bazaar area among tradesmen from different ages. The ownership status revealed that 65.0% of merchants were lodgers, compared to 28% who owned their own property and 7% who shared their property. A further major reason explaining the high sense of belonging in the Bursa bazaar is the rate of family partnerships. According to the findings, 50% of merchants had strong partnerships with family members, which led to a greater performance in the organization. The main benefits of these family partnerships- even if the trader does not own its property- can be seen in the increased solidarity and ease of self-organization during economic crises. Furthermore, family partnerships continue to play a significant role in enhancing the opportunity for traders to financially develop their own trade and deal with any unexpected disturbances.

Conclusion

Promoting resilience in historical bazaar areas requires a conceptual planning with a holistic approach. Sustainable urban planning and careful vitalisation should take into consideration the key hidden factors behind resilience in such historical areas. The outcomes of this research have highlighted that the analyzed resilience tangible indicators and sub-indicators have played a significant role in enhancing the value of the cultural landscape and urban resilience in the historical bazaar of Bursa namely the adaptive capacity, diversity, redundancy and connectivity. In addition, the hidden intangible factors behind the community and social resilience of this area are found to be strongly related to the governance values of the traditional institutions (Waqf and Guilds) transmitted from the past. Furthermore, non-tangible features and behaviours namely the sense of belonging, self-organization, solidarity and equity as well as beliefs, local traditions, community values, culture and aspirations, are widely being recognized as key components of urban heritage preservation and vitalisation. This means that preserving and regenerating such historical tissues entails more than simply material spatial protection and restoration to better anticipate or manage future and unexpected events or change.

The findings revealed that resilience in traditional commercial centres is a combination of community, social and urban resilience, allowing this study to serve as a first step toward developing a multi-dimensional evaluation model that considers the institutional, morphological and behavioural scales. The first institutional scale permits us to study the community resilience within the evolution of the co-management institutions in the bazaar over time. This understanding can be possible by taking advantage of traditional governance systems (Waqf, Guilds) to develop others adequate for future change. The second scale is related to the spatial-structural and morphological capacities. It includes the aspects of adaptability, learning, long-term perspectives and diversity. Adaptability reflects the key mechanisms behind the sustainability of the whole bazaar until today through the flexibility and renewal capacities. An innovative learning from the past experiences can be reflected by the decisions concerning long-term urban interventions and perspectives namely interventions related to enhancing connectivity, accessibility or redundancy. This Learning capacity contributes to better anticipate or manage future and unexpected events ensuring then the unchangeable identity of the bazaar area as a whole. The analysis of the functional diversity and socio-economic heterogeneity characterizing the bazaar area facilitates detecting the ideal land use diversity needed to deal with possible change that could affect different commercial sectors. The third studied scale focuses on social-behavioural factors, it includes the main behaviours and human values namely the high sense of solidarity and belonging that affects positively the process of recovery while preserving its own identity, especially the self-organization and protection mechanisms which can guarantee the viability of the bazaar area in the present and future. However, these findings might not be representative of all bazaars as this research was limited in terms of a study area that only included the Bursa bazaar as a specific historical tissue of the region. Besides, this study has only surveyed a specific target audience which is tradesmen while including bazaar customers and visitors may broaden our understanding of factors behind the resilience of such historical area.

In general, this study may be used as a solid foundation in the urban realm toward transforming the resilience assessment theories into an operational tool for policy and management purposes in the bazaar areas. It may play a significant role to guide policymakers and urban planners while making decisions, future interventions or prospective changes in the bazaar area without affecting its identity, vibrancy and attractiveness. The investigation of the conspicuous morphological, social and management capacities included in the ‘GALLDS’ framework opens other research paths to explore resilience in the historical landscapes namely the bazaar areas where most of them are living heritages in need for comprehensive planning policy for the long-term care. Besides, further research on the dynamics between the analyzed resilience enhancing factors needs to be done since most tradesmen gave them a primary importance as it can be noticed in the survey results. This study may also open several doors for research and application on other bazaar areas and why not comparative studies between bazaars of the same country or between ones from different countries worldwide.

Availability of data and materials

All data and materials had been cited in the article.

Notes

  1. Hans or Khans (commercial buildings with courtyard, attached to the Bazaar area).

  2. Bedesten (closed form of Turkish market, more like a warehouse where goods of high value were traded).

  3. Havlucular (area of the covered bazaar where towel sellers are concentrated).

  4. Koza Han (old commercial building famous by Silk production and sales in the past, and only Silk sales in the present).

  5. Bakircilar (Zone of the bazaar where Cooper makers have been located in the past).

  6. Uzun Carsi (or Long bazaar, the oldest and the most long pedestrian street in the bazaar area).

References

  1. Nasser N. Cultural continuity and meaning of place: Sustaining historic cities of the islamicate world. J Archit Conserv. 2003;9(1):74–89.

    Article  Google Scholar 

  2. Gharipour M. The bazaar in the Islamic city: design, culture, and history. Oxford: Oxford University Press; 2012.

    Book  Google Scholar 

  3. Moosavi M. Bazaar and its Role in Development of Iranian Traditional Cities in Eren, H. In: In Proceedings of the First International Congress on Islamic Archaeolog. 2005. p. 8–10.

  4. Mahmoudi A, Fanaei K. Finding new patterns to design sustainable cities by use of traditional urban patterns. In: REAL CORP 2009: Cities 30 – smart, sustainable, integrative Strategies, concepts and technologies for planning the urban future. 2009. p. 693–703. http://www.corp.at

  5. Üçeçam Karagel D, Karagel H. Analysis of a Historical commercial centre in terms of marketing geography: Uzun Çarşı/the Long Bazaar (Antakya/Turkey). Eur J Res Educ. 2014;2:166–84.

    Google Scholar 

  6. Al-hagla KS. Sustainable urban development in historical areas using the tourist trail approach: a case study of the Cultural Heritage and Urban Development (CHUD) project in Saida. Lebanon Cities. 2010;27(4):234–48.

    Article  Google Scholar 

  7. Karmowska J. 5th European Commission Conference – Cultural Heritage Research. In: Cultural heritage as an element of marketing strategy in European historic cities. A Pan-European Challenge, Luxembourg, January; 2003. p. 139–41.

  8. Tiesdell S, Oc TH. Revitalizing historic urban quarters. London: Architectural Press; 1996. p. 208.

    Google Scholar 

  9. Gedik GS, Yildiz D. Assessing the role of users in sustainable revitalization of historic urban quarters: the case of Bursa-Khans District. A/Z ITU J Fac Archit. 2016;13(1):195–208.

    Google Scholar 

  10. Shirani Z, Partovi P, Behzadfar M. Spatial Resilience in Traditional Bazaars (Case Study: Isfahan Geysariah Bazaar). Bagh-e Nazare Nazar. 2017;14(52):49–58.

    Google Scholar 

  11. Gharai F, Hajibandeh M, Masnavi MR. Urban local-spatial resilience: developing the key indicators and measures. Sci J NAZAR Res Cent Art, Archit Urban. 2018;14(57):19–32.

    Google Scholar 

  12. Assari A, Mahesh TM, Emtehani MR, Assari E. Comparative sustainability of bazaar in Iranian traditional cities: Case studies in Isfahan and Tabriz. Int J Tech Phys Probl Eng. 2011;9(3):18–24.

    Google Scholar 

  13. Edgü E, Ünlü A, Salgamcioglu ME, Mansouri A. Traditional shopping: a syntactic comparison of commercial spaces in Iran and Turkey. In: Proceedings: Eighth International Space Syntax Symposium, Chile: Santiago de Chile, January. 2012. p. 3–6.

  14. Alipoor B, SR. Investigating Sustainability Factors According to the Image of Iranian BazarNo Title. Int J Archit Urban Dev. 2012;2(4):25–30.

    Google Scholar 

  15. Yorulmaz H. Liveability in urban spaces: The case of Orhangazi Urban Square. Master’s thesis, Middle East Technical University; 2013.

  16. Van Breda AD. Resilience Theory : A Literature Review. Vol. 92. Pretoria, South Africa; 2001.

  17. Walker, Brian. Resilience thinking: sustaining ecosystems and people in a changing world. Washington, DC: Island press; 2006. p. 153.

  18. Carlson JL, Haffenden RA, Bassett GW, Buehring WA, Collins MJ, Folga SM. Resilience: theory and application. Vol. ANL/DIS-12. 2012.

  19. Holling GLH and. Panarchy: Understanding Transformation in Human and Natural Systems. Washington, DC: Island Press; 2002.

    Google Scholar 

  20. Burkhard B, Fath BD, Müller F. Adapting the adaptive cycle: Hypotheses on the development of ecosystem properties and services. Ecol Modell. 2011;222(16):2878–90. https://doi.org/10.1016/j.ecolmodel.2011.05.016.

    Article  Google Scholar 

  21. Folke C, Carpenter S, Elmqvist T, Gunderson L, Holling CS, Walker B. Resilience and sustainable development: Building adaptive capacity in a world of transformations. Ambio. 2002;31(5):437–40.

    Article  Google Scholar 

  22. Bettencourt LM. Cities as complex systems. Model complex Syst public policies. 2015. p. 217–36.

  23. Newman P, Beatley T, Boyer H. Resilient cities: Responsing to peak oil and climate change. Aust Plan. 2009;46(1):59.

    Article  Google Scholar 

  24. Hudec O. Cities of resilience: Integrated adaptive planning. Qual Innov Prosper. 2017;21(1):106–18.

    Article  Google Scholar 

  25. Meerow S, Newell JP, Stults M. Defining urban resilience: A review. Landsc Urban Plan. 2016;147:38–49.

    Article  Google Scholar 

  26. Godschalk DR. Urban hazard mitigation: creating resilient cities. Nat hazards Rev. 2003;4(3):136–43.

    Article  Google Scholar 

  27. Novotny V, Ahern J, Brown P. Water centric sustainable communities: planning, retrofitting, and building the next urban environment. New Jersey: Wiley; 2010.

    Book  Google Scholar 

  28. Sharifi A, Yamagata Y. Major principles and criteria for development of an urban resilience assessment index. In: 2014 International Conference and Utility Exhibition on Green Energy for Sustainable Development (ICUE). attaya, Thailand: IEEE; 2014. p. 1–5.

  29. Bourdic L, Salat S, Nowacki C. Assessing cities: A new system of cross-scale spatial indicators. Build Res Inf. 2012;40(5):592–605.

    Article  Google Scholar 

  30. Davoudi S, Shaw K, Haider LJ, Quinlan AE, Peterson GD, Wilkinson C, et al. Resilience: a bridging concept or a dead end?“Reframing” resilience: challenges for planning theory and practice interacting traps: resilience assessment of a pasture management system in Northern Afghanistan urban resilience: what does it mean in plannin. Plan theory Pract. 2012;13(2):299–333.

    Article  Google Scholar 

  31. Folke C, Carpenter SR, Walker B, Scheffer M, Chapin T, Rockström J. Resilience thinking: integrating resilience, adaptability and transformability. Ecol Soc. 2010;15(4):20.

    Article  Google Scholar 

  32. Berkes F, Ross H. Community resilience: toward an integrated approach. Soc Nat Resour. 2013;26(1):5–20.

    Article  Google Scholar 

  33. Longstaff PH, Armstrong NJ, Perrin K, Parker WM, Hidek MA. Building resilient communities: A preliminary framework for assessment. Homel Secur Aff. 2010;6(3):1–23.

    Google Scholar 

  34. Mileti DS, Sorensen JH. Determinants of organizational-effectiveness in responding to low probability catastrophic events. Columbia J World Bus. 1987;22(2):13–21.

    Google Scholar 

  35. Ilmola L. Approaches to Measurement of Urban Resilience. Advanced Sciences and Technologies for Security Applications. 2016. p. 207–237.

  36. Pickett STA, Cadenasso ML, Grove JM. Resilient cities: Meaning, models, and metaphor for integrating the ecological, socio-economic, and planning realms. Landsc Urban Plan. 2004;69(4):369–84.

    Article  Google Scholar 

  37. Vale LJ. The resilient city: how modern cities recover from disaster. Oxford: Oxford University Press; 2005.

    Book  Google Scholar 

  38. Colding J. “Ecological land-use complementation” for building resilience in urban ecosystems. Landsc Urban Plan. 2007;81(1–2):46–55.

    Article  Google Scholar 

  39. Alberti M. Advances in Urban Ecology: integrating humans and ecological processes in urban ecosystems. 1st ed. In: Advances in Urban Ecology. New York: Springer New York; 2008. 366 p.

  40. Feliciotti A, Romice O, Porta S. Masterplanning for change: lessons and directions. In: 29th Annual AESOP 2015 Congress. Prague: Czech Technical University in Prague; 2015. p. 3051–65.

  41. Feliciotti A, Romice O, Porta S. Design for change: five proxies for resilience in the urban form. Open House Int. 2016;41(4):23–30.

    Article  Google Scholar 

  42. Sharifi A, Yamagata Y. Urban resilience assessment: multiple dimensions, criteria, and indicators. Adv Sci Technol Secur Appl. 2017;2016:259–76.

    Google Scholar 

  43. Salat S, Bourdic L, Nowacki C. Assessing urban complexity. Int J Sustain Build Technol Urban Dev. 2010;1(2):160–7.

    Article  Google Scholar 

  44. Feliciotti A, Romice O, Porta S. From system ecology to urban morphology: towards a theory of urban form resilience. In: International forum on urbanism. Barcelona: UIC School of Architecture; 2018. p. 5993.

  45. Ribeiro PJG, Gonçalves LAPJ. Urban resilience: A conceptual framework. Sustain Cities Soc. 2019;50: 101625.

    Article  Google Scholar 

  46. Resilience-Oriented SA, Planning U. In: Resilience-Oriented Urban Planning: Theoretical and Empirical Insights (Lecture Notes in Energy Book 65). Cham: Springer; 2018. p. 2–27.

    Google Scholar 

  47. Sharifi A. Urban form resilience: A meso-scale analysis. Cities. 2019;93:238–52.

    Article  Google Scholar 

  48. Fleischmann M, Feliciotti A, Romice O, Porta S. Morphological tessellation as a way of partitioning space: Improving consistency in urban morphology at the plot scale. Comput Environ Urban Syst. 2019;2020(80): 101441.

    Google Scholar 

  49. Ouria M. Sustainable urban features and their relation with environmental satisfaction in commercial public space: an example of the Great Bazaar of Tabriz. Iran Int J Urban Sustain Dev. 2019;11(1):100–21.

    Article  Google Scholar 

  50. Nejadriahi H, Fasli M. Analytic hierarchy process for assessing sustainability of bazaars: The case of Tajrish bazaar in Tehran. Urban Des Int. 2017;22(3):253–66.

    Article  Google Scholar 

  51. Assari A, Mahesh TM, Emtehani MR, Assari E. Comparative sustainability of bazaar in Iranian traditional cities: case studies in Isfahan and Tabrız. Int J Int Organ TPE. 2011;9(3):18–24.

    Google Scholar 

  52. Kalan AM, Oliveira E. The Sustainable Architecture of Bazaars and its Relation with Social, Cultural and Economic Components (Case Study: The Historic Bazaar of Tabriz). Int J Archit Urban Dev. 2015;5(4):5–12.

    Google Scholar 

  53. Bozdağ HT, Benabbou R, Arslan TV. Resilience assessment framework for the sustainability of traditional commercial centres-case of the Historical Bazaar of Bursa. Int J Sustain Soc. 2021;13(3):203–25.

    Article  Google Scholar 

  54. Feliciotti A. Resilience and urban design. Doctoral dissertation.Glasgow: University of Strathclyde; 2018.

  55. Feliciotti A, Romice O, Porta S. Urban regeneration, masterplans and resilience: the case of Gorbals. Glasgow Urban Morphol. 2017;21(1):61–79.

    Google Scholar 

  56. Davis J, Uffer S. Evolving Cities: exploring the relations between urban form ‘resilience’and the governance of urban form. London. United Kingdom: London School of Economics; 2013. https://lsecities.net/publications/reports/evolving-cities/

  57. Paproski P. Urban governance systems-another unanalysed abstraction. Dev Plan Unit. 1993;28:2–3.

    Google Scholar 

  58. Westley F. Governing design: the management of social systems and ecosystems management. New York: Barriers Bridg to Renew Ecosyst institutions Columbia Univ Press; 1995. p. 391–427.

    Google Scholar 

  59. Folke C, Colding J, Berkes F. Synthesis: building resilience and adaptive capacity in social-ecological systems. Navig Soc Syst Build Resil Complex Chang. 2003;9(1):352–87.

    Google Scholar 

  60. Borie M, Pelling M, Ziervogel G, Hyams K. Mapping narratives of urban resilience in the global south. Glob Environ Chang. 2019;54:203–13.

    Article  Google Scholar 

  61. Hong L, Page SE. Groups of diverse problem solvers can outperform groups of high-ability problem solvers. Proc Natl Acad Sci. 2004;101(46):16385–9.

    Article  CAS  Google Scholar 

  62. Walker B, Holling CS, Carpenter SR, Kinzig A. Resilience, adaptability and transformability in social–ecological systems. Ecol Soc. 2004;9(2):5.

    Article  Google Scholar 

  63. Walker B, Gunderson L, Kinzig A, Folke C, Carpenter S, Schultz L. A handful of heuristics and some propositions for understanding resilience in social-ecological systems. Ecol Soc. 2006;11(1):13.

    Article  Google Scholar 

  64. Lazzeretti L, Cooke P. Introduction to the special issue ‘the resilient city.’ City, Cult Soc. 2015;3(6):47–9.

    Article  Google Scholar 

  65. Oliva S, Lazzeretti L. Adaptation, adaptability and resilience: the recovery of Kobe after the Great Hanshin Earthquake of 1995. Eur Plan Stud. 2017;25(1):67–87.

    Article  Google Scholar 

  66. Lee KN. Compass and gyroscope: integrating science and politics for the environment. Washington, DC: Island Press; 1993.

    Google Scholar 

  67. Berkes F. Understanding uncertainty and reducing vulnerability: lessons from resilience thinking. Nat hazards. 2007;41(2):283–95.

    Article  Google Scholar 

  68. Anderies JM. Embedding built environments in social–ecological systems: resilience-based design principles. Build Res Inf. 2014;42(2):130–42.

    Article  Google Scholar 

  69. Bottero M, Datola G, Angelis E De. Exploring the redundancy capacity through a system dynamics approach. In: International Conference on Computational Science and Its Applications. Springer; 2020. p. 366–78.

  70. Graham S, Marvin S. Splintering Urbanism: Networked Infrastructures, Technological Mobilities and the Urban Condition. London: Routledge; 2001.

    Google Scholar 

  71. Allan P, Bryant M, Wirsching C, Garcia D, Teresa RM. The influence of urban morphology on the resilience of cities following an earthquake. J Urban Des. 2013;18(2):242–62.

    Article  Google Scholar 

  72. Remali AM, Porta S, Romice O, Abudib H, Vaughan L. Suburban Urbanities: Suburbs and the Life of the High Street. London: UCL Press; 2015. p. 104–29.

    Book  Google Scholar 

  73. Carmona M. Public places, urban spaces: the dimensions of urban design. 3rd ed. New York: Routledge; 2021. p. 690.

    Book  Google Scholar 

  74. Ewing R, Handy S, Brownson RC, Clemente O, Winston E. Identifying and measuring urban design qualities related to walkability. J Phys Act Heal. 2006;3(s1):S223–40.

    Article  Google Scholar 

  75. Carmona M. Contemporary public space: Critique and classification, part one: Critique. J urban Des. 2010;15(1):123–48.

    Article  Google Scholar 

  76. Porta S, Latora V, Wang F, Rueda S, Strano E, Scellato S, et al. Street centrality and the location of economic activities in Barcelona. Urban Stud. 2012;49(7):1471–88.

    Article  Google Scholar 

  77. Rahimi GA. Characterization and Assessment of Transportation Diversity: Impacts on Mobility and Resilience Planning in Urban Communities.Doctoral dissertation. United States, Virginia Tech; 2020.

  78. Cutini V, Pezzica C. Street network resilience put to the test: the dramatic crash of Genoa and Bologna bridges. Sustainability. 2020;12(11):4706.

    Article  Google Scholar 

  79. Dhar TK, Khirfan L. A multi-scale and multi-dimensional framework for enhancing the resilience of urban form to climate change. Urban Clim. 2017;19:72–91.

    Article  Google Scholar 

  80. Marcus L, Colding J. Toward an integrated theory of spatial morphology and resilient urban systems. Ecol Soc. 2014;19(4):55.

    Article  Google Scholar 

  81. Holling CS, Sanderson S. Dynamics of (dis) harmony in ecological and social systems. In: Rights to nature: Ecological, economic, cultural, and political principles of institutions for the environment. Washington DC: Island Press; 1996. p. 77–9.

  82. McGrath BP, Marshall V, Cadenasso ML, Grove JM, Pickett ST, Plunz R, Towers J. Designing patch dynamics. Columbia University Graduate School of Architecture: Planning and Preservation. Library of Congress Cataloging-in-Publication data. New York; 2007.

    Google Scholar 

  83. Mathur VK. Human capital-based strategy for regional economic development. Econ Dev Q. 1999;13(3):203–16.

    Article  Google Scholar 

  84. Ramírez-Lovering, Diego E. Opportunistic urbanism. 1st ed. Melbourne, Australia: RMIT Publishing; 2008. 100 p.

  85. Anderson S. People in the physical environment: the urban ecology of streets. On Streets. S. Anderson: The MIT Press; 1978.

    Google Scholar 

  86. Frank K, Stevens Q. Loose space: possibility and diversity in urban life. 1st ed. London: Routledge; 2006. p. 320.

    Book  Google Scholar 

  87. Holling CS. Understanding the complexity of economic, ecological, and social systems. Ecosystems. 2001;4(5):390–405.

    Article  Google Scholar 

  88. Boonstra B, Boelens L. Self-organization in urban development: Towards a new perspective on spatial planning. Urban Res Pract. 2011;4(2):99–122.

    Article  Google Scholar 

  89. Folke C, Hahn T, Olsson P, Norberg J. Adaptive governance of social-ecological systems. Annu Rev Environ Resour. 2005;30:441–73.

    Article  Google Scholar 

  90. Olsson P, Folke C, Berkes F. Adaptive comanagement for building resilience in social-ecological systems. Environ Manage. 2004;34(1):75–90.

    Article  Google Scholar 

  91. Berkes FFC. Linking social and ecological systems. Management practices and social mechanisms for building resilience. Cambridge: Cambridge University Press; 1998. 390 p.

  92. Shamai S. Sense of place: an empirical measurement. Geoforum. 1991;22(3):347–58.

    Article  Google Scholar 

  93. Berkes F, Turner NJ. Knowledge, learning and the evolution of conservation practice for social-ecological system resilience. Hum Ecol. 2006;34(4):479–94.

    Article  Google Scholar 

  94. Armitage DR, Plummer R, Berkes F, Arthur RI, Charles AT, Davidson-Hunt IJ, et al. Adaptive co-management for social-ecological complexity. Front Ecol Environ. 2009;7(2):95–102.

    Article  Google Scholar 

  95. Walker B, Meyers JA. Thresholds in ecological and social–ecological systems: a developing database. Ecol Soc. 2004;9(2):3.

    Article  Google Scholar 

  96. Hassler U, Kohler N. Resilience in the built environment. Build Res Inf. 2014;42(2):119–29.

    Article  Google Scholar 

  97. Suárez M, Gómez-Baggethun E, Benayas J, Tilbury D. Towards an urban resilience index: a case study in 50 Spanish cities. Sustainability. 2016;8(8):774.

    Article  Google Scholar 

  98. Taşan-Kok T, Stead D, Lu P. Conceptual overview of resilience: History and context. Resil Think urban Plan. 2013;39–51.

  99. Ahrén B, Schweizer A, Dejager S, Villhauer EB, Dunning BE, Foley JE. Mechanisms of action of the dipeptidyl peptidase 4 inhibitor vildagliptin in humans. Diabetes, Obes Metab. 2011;13(9):775–83.

    Article  Google Scholar 

  100. Allan P, Bryant M. Resilience as a framework for urbanism and recovery. J Landsc Archit. 2011;6(2):34–45.

    Article  Google Scholar 

  101. Brand FS, Jax K. Focusing the meaning(s) of resilience: Resilience as a descriptive concept and a boundary object. Ecol Soc. 2007;12(1):23.

    Article  Google Scholar 

  102. Vale LJ. The politics of resilient cities: Whose resilience and whose city? Build Res Inf. 2014;42(2):191–201.

    Article  Google Scholar 

  103. Breheny M. The compact city: an introduction. Built Environ. 1992;18(4):241.

    Google Scholar 

  104. Jacobs J. The Death and Life of Great American Cities. New York: Random House; 1961.

    Google Scholar 

  105. Tutkun M. Kimlik/kültür/mekân üçgeninde bir tarihi merkez: sürdürülebilirlik bağlamında Santa harabeleri. Karadeniz Araştırmaları Enstitüsü Derg. 2015;1(1):1–34.

    Google Scholar 

  106. Moayedi M. Defining effective components on city public spaces to make sense of place and social sustainability by ceremonial customs case study tehran bazaar in muharram ceremonies. J Soc Issues Humanit. 2014;2(5):77–85.

    Google Scholar 

  107. Cross J. What is Sense of Place?12th Headwaters Conference; November 2–4; Western State CollegeColorado - United States, 2001. https://mountainscholar.org/bitstream/handle/10217/180311/FACFSOLO_Cross_2001_Headwaters%20XII_Sense%20of%20Place.pdf?sequence=4

  108. Hummon DM. Community Attachment: Local Sentiment and Sense of place. In: Human Behavior and Environment. Boston: Springer; 1992. p. 26.

  109. Topçu K, Bilsel SG. Geleneksel Gaziantep Çarşısının Mekansal Kalite Açısından Değerlendirilmesi. Artium. 2016;4(1):58–74.

    Google Scholar 

  110. Vural T. Tarihsel Sureklilik Icinde Bursa Kapalicarsi ve Hanlar Bolgesi (Bursa Covered Bazaar and Khan’s District in Historical Continuity). In: C. Ciftci (Dü.) içinde, Bursa’nin Kentsel ve Mimari Gelisimi (Urban and Architectural Develeopment of Bursa). 2007. p. 289–309.

  111. Arslan TV. Developing a strategic approach for managing sustainable revitalisation in world heritage sites: Historical Bazaar and Khans District. Bursa - Turkey Archnet-IJAR. 2015;9(1):289–304.

    Article  Google Scholar 

  112. Yediyıldız MA. Şer’iye sicillerine göre XVI. yüzyıl ikinci yarısında Bursa esnafı ve ekonomik hayat. Arasta; 2003.

  113. Rummel RJ. Understanding factor analysis. J Conflict Resolut. 1967;11(4):444–80.

    Article  Google Scholar 

  114. Comrey AL. The minimum residual method of factor analysis. Psychol Rep. 1962;11(1):15–8.

    Article  Google Scholar 

  115. Rummel RJ. Applied factor analysis. Evanston, Illinois U.S.A.: Northwestern University Press; 1988. 574 p.

  116. Kim J-O, Mueller CW. Factor analysis: Statistical methods and practical issues. London: SAGE Publications Sage UK: London, England; 1978.

  117. Barbara G. Tabachnick LSF. Using multivariate statistics. 6th ed. Boston. MA: Pearson; 2013.

  118. Kaiser HF. A second generation little jiffy. Psychometrika. 1970;35:401–15.

    Article  Google Scholar 

  119. Guttman L. Some necessary conditions for common-factor analysis. Psychometrika. 1954;19(2):149–61.

    Article  Google Scholar 

  120. Tucker LR, MacCallum RC. Exploratory factor analysis. Ohio State Univ Columbus: Unpubl manuscript; 1997.

    Google Scholar 

  121. Stevens J. Applied multivariate statistics for the social sciences. Mahvah: Lawrence Erlbaum Associates; 1996.

    Google Scholar 

  122. Shrestha N. Detecting multicollinearity in regression analysis. Am J Appl Math Stat. 2020;8(2):39–42.

    Article  Google Scholar 

  123. Cronbach LJ. Essentials of psychological testing. 3rd ed. New York: Harper & Row; 1970.

    Google Scholar 

  124. Brown JD. Statistics Corner. Questions and answers about language testing statistics: Choosing the right number of components or factors in PCA and EFA. Shiken JALT Test Eval SIG Newsl. 2009;13(2):19–23.

  125. Groeneveld RA, Meeden G. Measuring Skewness and Kurtosis. J R Stat Soc Ser D. 1984;33(4):391.

    Google Scholar 

  126. Moors JJA. The meaning of kurtosis: Darlington reexamined. Am Stat. 1986;40(4):283–4.

    Google Scholar 

  127. DeCarlo LT. On the meaning and use of kurtosis. Psychol Methods. 1997;2(3):292.

    Article  Google Scholar 

  128. Hopkins KD, Weeks DL. Tests for normality and measures of skewness and kurtosis: Their place in research reporting. Educ Psychol Meas. 1990;50(4):717–29.

    Article  Google Scholar 

  129. Norman G. Likert scales, levels of measurement and the “laws” of statistics. Adv Heal Sci Educ. 2010;15(5):625–32.

    Article  Google Scholar 

  130. Tabachnick BG, Fidell LS. Using multivariate statistics. 5. 5th ed. Boston: Allyn and Bacon; 2007. 481–498 p.

  131. Browne MW, Cudeck R. Single sample cross-validation indices for covariance structures. Multivariate Behav Res. 1989;24(4):445–55.

    Article  CAS  Google Scholar 

  132. Chau PYK, Hu PJH. Information technology acceptance by individual professionals: A model comparison approach. Decis Sci. 2001;32(4):699–719.

    Article  Google Scholar 

  133. Bentler PM, Bonett DG. Significance tests and goodness of fit in the analysis of covariance structures. Psychol Bull. 1980;88(3):588–606.

    Article  Google Scholar 

  134. Bentler PM. Comparative fit indexes in structural models. Psychol Bull. 1990;107(2):238–46.

    Article  CAS  Google Scholar 

  135. Browne MW, Cudeck R. Alternative ways of assessing model fit. Social Methods Res. 1992;21(2):230–58.

    Article  Google Scholar 

  136. MacCallum RC, Browne MW, Sugawara HM. Power analysis and determination of sample size for covariance structure modeling. Psychol Methods. 1996;1(2):130–49.

    Article  Google Scholar 

  137. Baer G. Monopolies and restrictive practices of Turkish guilds. J Econ Soc Hist Orient/Journal l’histoire Econ Soc l’Orient. 1970;13(1):145–65.

    Google Scholar 

  138. Vural T, Işığıçok E, Çahantimur A, Durak S, Yenen ZB. Tarihi Çarşı ve Hanlar Bölgesi Yönetim Planı için Bir Model Önerisi. Belediyesi-Uludağ BB, editor. 2013.

  139. Vural-Arslan T, Cahantimur A. Revival of a traditional community engagement model for the sustainable future of a historical commercial district: Bursa/Turkey as a case. Futures. 2011;43(4):361–73.

    Article  Google Scholar 

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HTB: Formal analysis, Software, Investigation, Conceptualization, Writing the original draft, Project administration, Supervision and Coordination, Reviewing, Editing, Validation, and proofreading. RB: Reviewing and Editing, proof reading and validation. TVA: Reviewing and Editing, proof reading and validation. All authors read and approved the final manuscript.

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Tlemsani Bozdağ, H., Benabbou, R. & Vural Arslan, T. A framework proposal for resilience assessment in traditional commercial centres: case of the historical bazaar of bursa as a resilient world heritage site. Herit Sci 10, 154 (2022). https://doi.org/10.1186/s40494-022-00792-5

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