Development as adaptation: Framing and measuring urban resilience in Beijing

Yan, Zheng; Xie, Xiaoling; Lin, Chen-Zhen; Wang, Mou; He, Xiaojia

doi:10.1016/j.accre.2018.12.002

Cited by 67 publications

(41 citation statements)

References 7 publications

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“…e INRM shows that "population density in the urban area (SI1)," "outcome of business activities (ES3)," "density of buildings (GC4)," "number of existing businesses in the area (ES4)," "disposable income on average households (ES5)," and "number of buildings over 30 years old (GC5)" are the main factors affecting the relationship system. e results of Z-DEMATEL analysis echo the research of Monteiro et al [28], Borsekova et al [29], Kontokosta and Malik [3], and Zheng et al [30].…”

Section: Discussionsupporting

confidence: 75%

“…is section reviews the literature related to urban resilience. Many researchers have developed some indicators, frameworks, and conceptual models to quantify resilience analysis [3,[28][29][30][31][32][33][34][35]. Our first task is to establish a suitable evaluation framework to measure the resilience of cities and then, by collecting and sorting out relevant data sets, to create an urban resilience knowledge system.…”

Section: Description Of the Evaluation Framework And Attributesmentioning

confidence: 99%

“…Zheng et al [30]; Okada [35]; Ghouchani et al [34] Environmental conditions (GC) A trapezoidal fuzzy number can be denoted as E � (e 1 , e 2 , e 3 , e 4 ), where e 1 < e 2 < e 3 < e 4 . Suppose there are two trapezoidal fuzzy numbers P � (p 1 , p 2 , p 3 , p 4 ) and Q � (q 1 , q 2 , q 3 , q 4 ), and θ is a positive constant number.…”

Section: E Definition and Operation Laws Of Trapezoidal Fuzzymentioning

confidence: 99%

See 2 more Smart Citations

A Hybrid Z-Based MADM Model for the Evaluation of Urban Resilience

Huang

2021

Mathematical Problems in Engineering

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Natural disasters and man-made incidents have many negative impacts on major cities, including casualties, economic losses, disruption of social order, and environmental contamination. Cities need to be resilient in order to protect people’s lives and property. Although research on urban resilience has been rapidly emerging in recent years, there are still some research gaps. The interplay of attributes for assessing urban resilience has not been explored, and the Multiple Attribute Decision Making- (MADM-) based framework for evaluating urban resilience is rarely studied. Therefore, this study proposes a novel model to evaluate urban resilience, the Z number-based Decision-Making Trial, and Evaluation Laboratory (Z-DEMATEL), to identify the mutual influential relationships and the weights of the attributes. In addition, the Z number-based Reference Ideal Method (Z-RIM) is used to determine the resilience capacity of cities and to suggest improvements for decision makers to develop appropriate strategies. In this study, we not only use trapezoidal fuzzy numbers to reflect the uncertainty of information but also measure the reliability/confidence of experts in the assessment. The integrated methodology is presented for the first time in this study, and we use the firmness data of six major metropolitan cities in Taiwan as an example of model demonstration. The results of the study show that population density, value of business activity, healthcare facilities, electricity supply, and number of business registrations are the most important attributes influencing the resilience of cities. Taipei City and Taichung City are the two major cities with better resilience in Taiwan based on the analysis of this study.

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Section: Discussionsupporting

confidence: 75%

Section: Description Of the Evaluation Framework And Attributesmentioning

confidence: 99%

Section: E Definition and Operation Laws Of Trapezoidal Fuzzymentioning

confidence: 99%

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A Hybrid Z-Based MADM Model for the Evaluation of Urban Resilience

Huang

2021

Mathematical Problems in Engineering

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“…This paper drawd on the urban resilience evaluation index system constructed by Yi Wu et al [51]. and Zheng Yan et al [52]. and established a total of 23 specific indicators to measure the level of urban resilience in Henan Province in four dimensions: economic resilience, social resilience, ecological resilience, and infrastructural resilience.…”

Section: Index System Constructionmentioning

confidence: 99%

Temporal and Spatial Differentiation in Urban Resilience and Its Influencing Factors in Henan Province

et al. 2021

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Building resilient cities is playing an increasingly important role in enhancing urban safety and promoting sustainable urban development. However, few scholars pay attention to urban resilience in inland provinces. Choosing Henan Province, as it is a typical representative of China’s major inland economic provinces, has practical guiding significance. This study aims to provide a systematic indicator system and evaluation tool to measure the cuity’s resilience level. Therefore, based on a multidimensional perspective, this paper dissects the urban resilience spatial and temporal evolution characteristics of 18 Henan Province cities with the entropy method, Thiel index, and ESDA (Exploratory Spatial Data Analysis) and explores influencing factors with a spatial econometric model. The main results are as follows: (1) the overall resilience in Henan Province continuously grows, and the resilience level of the Zhengzhou metropolitan area is the highest. In the urban resilience subsystem, economic and social resilience notably drive urban resilience improvement in Henan Province. (2) The spatial difference of urban resilience has been significantly reduced, but the inner metropolitan area presents the characteristics of “core–periphery”. Urban resilience presents a positive spatial correlation, and local spatial agglomeration is relatively stable. (3) Under the state of spatial interaction, urbanization rate, administrative, innovation, market, and industrial structure factors all have significant direct effects and spatial spillover effects on overall resilience, but openness exerts downward pressure on local resilience. (4) On this basis, strategies have been proposed to continuously promote the development of new urbanization, improve the regional coordinated development mechanism, increase market activity, optimize the environment for scientific and educational innovation, and promote the optimization and upgrading of industrial structure. The approach taken in this research may also be useful for developing urban resilience assessment tools in other central plains cities as well as in other cities in the interior of the world with similar conditions.

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“…Cities in China are urged to adopt planning-oriented adaptation as a strategy of proactive risk planning in the context of rapid urbanization and global climate change (ZHENG et al 2018).…”

Section: Introductionmentioning

confidence: 99%

Flash Floods Exposure Assessment Model for DRR Oriented Adaptive Planning in High-density Urban Areas

Zou¹,

Su²

2021

Proceedings of the 57th ISOCARP World Planning Congress

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Rapid urbanization in China is placing increased pressure on urban drainage infrastructure. Northeast coastal cities are susceptible to flood damage from typhoons and climate change is expected to produce more extreme weather events. Urban planners and local governments need better risk assessment tools to plan for future extreme events. An open data based exposure assessment model has been developed for disaster risk reduction (DRR) oriented adaptive urban plan making based on the understanding of flash floods risk in high-density urban areas under future climate scenarios. The proposed model is based on hydrological simulation, which accuracy is sensitive to the precision of input digital elevation model (DEM). A regression kriging based geointerpolation method is employed to reshape ground surface by increasing precision of global coverage ASTER GDEM from 30m to 10m. Time component is introduced to the Horton's water permeation model. The parameter of permeation speed limitation is critical to this model; initial values are taken from published Land Classification Codes and adjusted according to the field surveys and observation records. Shekou community in Shenzhen is a case study to verify the proposed model. Two most common scenarios are tested. One is a storm at low-tide condition, with a fully functional urban drainage system. This scenario is simulated by using historical rainfall data from Meteorological Bureau. The other scenario is a typhoon occurring at high-tide, which means urban drainage system is partially malfunctioned. The simulation results show high agreement with both the historical record and satellite observations. Based on the understanding of flash floods exposure assessment and the temporal-spatial distribution of the risk, DRR oriented adaptive urban plans can be made.

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Development as adaptation: Framing and measuring urban resilience in Beijing

Cited by 67 publications

References 7 publications

A Hybrid Z-Based MADM Model for the Evaluation of Urban Resilience

A Hybrid Z-Based MADM Model for the Evaluation of Urban Resilience

Temporal and Spatial Differentiation in Urban Resilience and Its Influencing Factors in Henan Province

Flash Floods Exposure Assessment Model for DRR Oriented Adaptive Planning in High-density Urban Areas

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