Spatial–Temporal Evolution of Urban Resilience and Its Influencing Factors: Evidence from the Guanzhong Plain Urban Agglomeration

Ma, Fei; Wang, Zuohang; Sun, Qipeng; Yuen, Kum Fai; Zhang, Yanxia; Hui-feng, Xue; Zhao, Shumei

doi:10.3390/su12072593

Cited by 48 publications

(29 citation statements)

References 39 publications

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“…Firstly, through the measurement of the resilience level of the cities in the study area, this study finds that the level of economic resilience and social resilience is the key to determining the overall resilience level of the city. This confirms the research of Zheng et al (2018) [57] and Ma et al (2020) [58], arguing that economic and social levels are the main determinants of urban resilience. Cities with higher economic and social levels have relatively large resource investment in improving the level of urban resilience, making their level of urban resilience relatively high.…”

Section: Theoretical Contributionsupporting

confidence: 89%

Evaluation and Factor Analysis for Urban Resilience: A Case Study of Chengdu–Chongqing Urban Agglomeration

Wang

Han

et al. 2022

Buildings

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Resilient cities provide a new operating mechanism for sustainable urban development and can effectively reduce urban disaster losses. Urban resilience has become an important research topic, but few scholars focus on the urban resilience of urban agglomerations in western China. Therefore, this paper takes the Chengdu–Chongqing urban agglomeration of China as the study area and aims to evaluate the resilience level of cities in typical regions of western China. This study uses multiple interdisciplinary methods, such as the entropy weight method, Theil index, and geographically and temporally weighted regression, to evaluate the resilience levels of 16 cities in the region and discuss the influencing factors of regional urban resilience. The results show that the urban resilience of cities in the Chengdu–Chongqing urban agglomeration has evolved from a low to high level. Additionally, there are significant spatial differences in urban resilience in the Chengdu–Chongqing urban agglomeration, and the resilience levels of cities in the east and west of the region are relatively high, while the resilience levels of cities in the south and north are relatively low. Further research found that factors such as administrative level, marketization level, industrial structure, population density, urbanization level, and emergency facility level all have a significant positive impact on the improvement of urban resilience, but this impact has spatial and temporal heterogeneity. Based on the above research results, the strategies have been proposed from the perspective of sustainable urban development to provide a new theoretical support and decision-making reference for improving the resilience level of urban agglomerations in western China.

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Section: Theoretical Contributionsupporting

confidence: 89%

Evaluation and Factor Analysis for Urban Resilience: A Case Study of Chengdu–Chongqing Urban Agglomeration

Wang

Han

et al. 2022

Buildings

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“…From the conceptual point of view, most domestic and foreign scholars define the concept of urban spatial resilience in terms of urban systems absorbing shocks and attenuating disturbances. To be more precise, they focus on spatial attributes of urban systems as a material form possessed by cities, broadening the understanding of urban space in complex social-ecological systems [18][19][20][21][22][23]. In terms of research content, scholars at home and abroad have attempted to construct indicator systems with specific entry points, which include urban road traffic [6], local urban space [24][25][26][27][28][29][30], and multiscale urban resilience constructions [31].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Urban Spatial Resilience and Its Influencing Factors: Case Study of the Harbin–Changchun Urban Agglomeration in China

Chen

et al. 2022

Sustainability

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This study constructs a framework for evaluating urban spatial resilience based on five dimensions: scale, intensity, morphology, function, and benefit. Likewise, it empirically analyzes the spatial differences and influencing factors of urban spatial resilience in the Harbin–Changchun urban agglomeration from 2000 to 2020. Overall, the spatial resilience of the Harbin–Changchun urban agglomeration declined from 2000 to 2019. In addition, its ability to resist external disturbances weakened. The five dimensions of spatial resilience declined. However, urban spatial morphological resilience slightly increased. The spatial diversity of the Harbin–Changchun urban agglomeration is obvious, implying that the spatial resilience of cities in the central region, mainly in Suihua and Songyuan, is higher than in peripheral areas of the urban agglomeration, mostly in the Yanbian Korean Autonomous Prefecture, Siping, and Qiqihar. The period between 2000 and 2019 was dominated by cities with fluctuating spatial resilience. Furthermore, urban spatial resilience is influenced by a combination of factors, with economic support being the primary one. The selection of the urban spatial resilience research index system in this study is more spatially oriented and more accurately reflects the urban spatial resilience situation, which, in turn, provides a new planning perspective for urban planning in China.

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“…Martin, Zhou et al and Rose et al all constructed an indicator system of economic resilience from the perspective of economic shocks (Martin and Gardiner, 2019;Rose, 2004;Zhou et al, 2020); Abdul et al set up a social resilience indicator system to enhance disaster management (Abdul Majeed et al, 2018;Abdul Majeed et al, 2020;Cutter et al, 2008). Nevertheless, some other scholars have established an inclusive system for evaluating urban disaster resilience from the four aspects: Ecological environment, Economy, Society and Infrastructure services (Ma et al, 2020). Through above analysis, we found that scholars had constructed UR analysis framework from five aspects: Economy, Society, Infrastructure, Ecology and Disasters, these dimensions were decided by the characteristics of the research objects.…”

Section: Introductionmentioning

confidence: 99%

Evaluate Urban Resilience in Light of Water Resources and Identify Critical Driving Factors-a Case Study from the Yangtze River Economic Belt's Lower Reaches

Song

et al. 2022

Preprint

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The acceleration of urbanization created a series of problems such as water shortage crisis and serious water pollution which brought the vulnerability of urban water resources, thus affected the economic and social development of city and increased risk of external impact on the urban system. Therefore, improving urban resilience (UR) from the viewpoint of water resources plays an essential role in resisting external shocks. Our paper based on 21 cities along the Yangtze River Economic Belt’s (YREB) lower reaches relevant data from 2010 to 2018, constructs a new UR evaluation framework of “Economy-Society-Infrastructure-Water Resources”. Then the Projection Pursuit Evaluation Model of Real Coding based on Accelerating Genetic Algorithm (RAGA-PP) is used to measure the UR scientifically, Geographic Detectors (GD) method detected and analyzed the UR driving factors. The results present that: (1) The general level of UR in study area was low and characterized by attenuation from central cities to marginal cities, among them Shanghai is the highest (0.651), while Chizhou is the lowest (0.178). The resilience of cities along the YREB’s lower reaches shows a downward trend. (2) Compared with the UR without considering water resources, the UR from the perspective of water resources is relatively higher. Which means that cities along the YREB’s lower reaches have enhanced their ability to deal with external pressure and impact from the perspective of water resources. (3) Water resources and Infrastructure were two factors affected the spatial diversity of UR along the YREB’s lower reaches in 2018 and their average explanatory power of factors increased by 30.610% and 139.035% respectively; the explanatory power of Economy (5.270%) and Society (1.342%) were relatively smaller. With these findings our paper provides relevant suggestions to enhance UR along the YREB’s lower reaches from the perspective of water resources.

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Spatial–Temporal Evolution of Urban Resilience and Its Influencing Factors: Evidence from the Guanzhong Plain Urban Agglomeration

Cited by 48 publications

References 39 publications

Evaluation and Factor Analysis for Urban Resilience: A Case Study of Chengdu–Chongqing Urban Agglomeration

Evaluation and Factor Analysis for Urban Resilience: A Case Study of Chengdu–Chongqing Urban Agglomeration

Evaluation of Urban Spatial Resilience and Its Influencing Factors: Case Study of the Harbin–Changchun Urban Agglomeration in China

Evaluate Urban Resilience in Light of Water Resources and Identify Critical Driving Factors-a Case Study from the Yangtze River Economic Belt's Lower Reaches

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