Comprehensive evaluation of urban resilience based on the perspective of landscape pattern: A case study of Shenyang city

Feng, Xinghua; Xiu, Chunliang; Bai, Limin; Zhong, Yanfei; Wei, Ye

doi:10.1016/j.cities.2020.102722

Cited by 116 publications

(54 citation statements)

References 64 publications

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“…Here have been several studies on the comprehensive evaluation of urban resilience [ 53 ], or urbanization and development of urban subsystems, but fewer studies on the coupling relationship between urban resilience and urbanization. Compared with the research on urban disaster prevention capability from a single perspective such as infrastructure [ 54 ], landscape pattern [ 21 ] and urban ecology [ 55 ], grasping and analyzing the interaction logic of the interaction between the two from a coupling perspective can explain the comprehensiveness and complexity of urban development more scientifically. It provides a theoretical basis for coordinating the relationship between urban population and land.…”

Section: Conclusion and Discussionmentioning

confidence: 99%

Study on the coupling relationship between urban resilience and urbanization quality—A case study of 14 cities of Liaoning Province in China

Gao

Chen

2021

PLoS ONE

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In this paper, entropy, coupling coordination degree, spatial auto-analysis, LISA time path, and other methods have been used to analyze the coupling coordination degree of urban resilience and urbanization quality of 14 cities in Liaoning Province from 2009 to 2019. The results show that: 1. The number of highly resilient cities accounts for 14.3% of the total number of cities in Liaoning Province, and the overall resilience degree is low; the spatial distribution shrinks along the Shenyang–Dalian Economic Belt toward both sides, with obvious “core-margin” characteristics. 2. The average score of urbanization quality increased from 0.0574 to 0.0966, showing a fluctuating upward trend; the regional difference was significant, and the “dual-core” characteristic was prominent. 3. During the study period, the 14 cities of Liaoning Province were in a state of imbalance, and there was a positive correlation between the coupling degree and the coordination degree. Moran’s I decreased from 0.237 to 0.220 and the spatial agglomeration characteristics also weakened. Further analysis of the spatial and temporal linkage characteristics of the coupling relationship shows that the relative length of LISA time path presents characteristics of protrusion in the central region and shrinkage on the East and West sides, and the curvature presents characteristics that are smaller in the North and larger in the South.

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Section: Conclusion and Discussionmentioning

confidence: 99%

Study on the coupling relationship between urban resilience and urbanization quality—A case study of 14 cities of Liaoning Province in China

Gao

Chen

2021

PLoS ONE

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“…A geographical detector is a statistical model to distinguish spatial separation and reveal its influencing factors, including those of risk, ecological, and interaction [ 42 ]. In practical applications, it does not require too many assumptions, and influencing factor analysis offers advantages such as immune collinearity of multiple independent variables that have been applied in many fields in recent years [ 14 , 43 ]. The basic principle is to divide the total sample into several sub-samples and then use variance to judge spatial heterogeneity and variable relationships.…”

Section: Methods and Data Descriptionmentioning

confidence: 99%

“…To enhance the short-term response capacity and long-term adaptability of urban systems [ 11 ], resilient cities can mitigate and prevent disaster risks; minimize loss or disadvantage to life, property, infrastructure, economic activities, and the environment from potential threats [ 12 ]; effectively guarantee the integrity and liveability of urban systems; and ensure the effective operation of functions in changing socioeconomic and environmental conditions [ 13 ]. Although there is no unified and recognized notion of urban resilience in academia, the construction of resilient cities is considered to be a new way to guide the development of sustainable cities [ 5 ], which should have three important abilities: the ability to absorb various pressures and maintain a stable state, the ability to self-organize, and the ability to adapt and learn [ 14 ]. Urban resilience is also characterized by biodiversity, versatility, multiscale networks, modularity, and adaptive design [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

“…(2) Evaluation system and method selection: Building a reasonable evaluation index system based on the multidimensional perspective is the basis of quantitative research on urban resilience. Many scholars have chosen indicators from several dimensions of economy, society, infrastructure, institutions, and natural environment [ 16 , 17 , 18 ], using models such as the system dynamics [ 19 , 20 ], performance credit card [ 10 ], resilience maturity model [ 21 , 22 ], situation analysis [ 23 ], and “Scale–Density–Morphology“ evaluation models [ 14 ] to measure the level of urban resilience or explore a certain dimension of it, such as economic resilience [ 24 ], social resilience [ 25 ], ecological resilience [ 26 ], or infrastructure resilience [ 27 ]. In addition, some scholars have used the propensity score matching and difference in difference model to explore the role of smart city construction in improving resilience [ 28 ].…”

Section: Introductionmentioning

confidence: 99%

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Study on the Spatiotemporal Evolution and Influencing Factors of Urban Resilience in the Yellow River Basin

Chen

Zhou

2021

IJERPH

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The outbreak of COVID-19 has prompted consideration of the importance of urban resilience. Based on a multidimensional perspective, the authors of this paper established a comprehensive evaluation indicator system for evaluating urban resilience in the Yellow River basin (YRB), and various methods such as the entropy value method, Theil index, exploratory spatial data analysis (ESDA) model, and geographical detector model were used to measure the spatiotemporal characteristics and influencing factors of urban resilience in the YRB from 2011 to 2018. The results are as follows. (1) From 2011 to 2018, the urban resilience index (URI) of the YRB showed a “V”-shaped dynamic evolution in the time series, and the URI increased by 13.4% overall. The resilience of each subsystem showed the following hierarchical structure: economic resilience > social resilience > ecological resilience > infrastructure resilience. (2) The URI of the three major regions—upstream, midstream, and downstream—increased, and the resilience of each subsystem in the region showed obvious regional characteristics. The comprehensive difference in URI values within the basin was found to be shrinking, and intraregional differences have contributed most to the comprehensive difference. (3) There were obvious zonal differences in the URI from 2011 to 2018. Shandong Peninsula and Hohhot–Baotou–Ordos showed a “High–High” agglomeration, while the southern and southwestern regions showed a “Low–Low” agglomeration. (4) Among the humanist and social factors, economic, fiscal, market, urbanization, openness, and innovation were found to be the factors that exert a high impact on the URI, while the impacts of natural factors were found to be low. The impact of the interaction of each factor is greater than that of a single factor.

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“…Scholars thus began exploring methods to measure it, especially quantitatively. Current research on urban economic resilience is mainly related to four aspects: (1) using the concept of resilience to guide urban planning and design [33,34], (2) the exploration of concepts and theories related to urban resilience [35,36], (3) the design of index systems for the evaluation of urban economic resilience [37][38][39] and its factors influencing it [40,41], and (4) studies of the economic resilience of special types of cities [42,43].…”

Section: Literature Reviewmentioning

confidence: 99%

An Assessment Approach to Urban Economic Resilience of the Rust Belt in China

Man

Yang

et al. 2021

Complexity

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Urban economic resilience provides a novel perspective on the sustainable development of urban and regional economy. Selecting 37 prefecture-level cities in the Northeast China that also known as the rust belt in China as a regional study sample that has experienced significant economic decline and out-migration in the last 20 years compared to many other regions in China, this study aims to construct an index system using the data collected in 2005, 2010, and 2016. This study evaluates urban economic resilience including five socioeconomic aspects: diversity, capabilities related to revenue and expenditure, innovation environment, trend of development, and openness. We analyze the spatial and temporal evolution characteristics of urban economic resilience, explore the key factors contributing to urban resilience and then provide decision-making suggestions to enhance it. We find the following: (1) urban economic resilience in the Northeast China has gradually increased over time, but spatial heterogeneity of resilience was prominent. Specifically, coastal cities were more economically resilient than inland cities. (2) Urban economic resilience in the Northeast China is significantly contributed by the diversity of an economic system and the trend of development, which contribute to resilience with weights of 0.214 and 0.216, respectively. The dominant factors contributing to urban economic resilience are different among diverse urban economic types and size. (3) To enhance urban economic resilience, comprehensive economic cities need to focus on increasing the diversity of economic structures. Resource-based and old industrial cities should focus on raising the innovation environment. Coastal cities should focus on increasing the diversity of their economic structures and creating positive trends of economic and social development. Agricultural cities should focus on creating positive trends of economic and social development.

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Comprehensive evaluation of urban resilience based on the perspective of landscape pattern: A case study of Shenyang city

Cited by 116 publications

References 64 publications

Study on the coupling relationship between urban resilience and urbanization quality—A case study of 14 cities of Liaoning Province in China

Study on the coupling relationship between urban resilience and urbanization quality—A case study of 14 cities of Liaoning Province in China

Study on the Spatiotemporal Evolution and Influencing Factors of Urban Resilience in the Yellow River Basin

An Assessment Approach to Urban Economic Resilience of the Rust Belt in China

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