Evaluation of urban resilience based on Service-Connectivity-Environment (SCE) model: A case study of Jinan city, China

Wang, Xuan; Wang, Chengxin; Shi, Jialu

doi:10.1016/j.ijdrr.2023.103828

Cited by 10 publications

(6 citation statements)

References 45 publications

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“…Maintaining good road accessibility and external traffic connectivity, optimizing early warning systems and emergency response mechanisms, ensuring that information can be quickly transmitted to each unit before pluvial waterlogging occurs, and ensuring that emergency resources can be swiftly provided are key considerations [61], for example, by ensuring that rescue teams and supplies can quickly reach affected areas and optimizing the transportation network to guarantee efficiency in emergencies. For areas on the periphery of the old city, which show weak responsiveness, enhancing road accessibility can ensure that the main roads and bridges remain passable during pluvial events [62]. Strengthening connections between the city and external transportation hubs to ensure rapid mobilization of external rescue forces and supplies, enhancing the city's maintenance and construction capabilities, regularly maintaining and caring for urban infrastructure, and improving their waterlogging resistance and operational efficiency are essential.…”

Section: (4) Response For Unit Ps With Weak Responsivenessmentioning

confidence: 99%

Classification and Planning Strategies of Multidimensional Resilience Units for Urban Waterlogging: A Case Study of the Old City District in Shijiazhuang, China

Ni,

Li,

Namaiti

2024

Sustainability

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The frequency of urban disasters such as waterlogging has markedly increased, highlighting the urgent need to strengthen urban disaster prevention capabilities and resilience. This research, anchored in the resilience characteristics of robustness, redundancy, resource deploy ability, and rapid response, devised a resilience clustering factor system specifically designed for older urban districts. The old city district of Shijiazhuang, China, was selected as the empirical case study area. This research employs the K-Means++ clustering method to analyze the region’s resilience units against waterlogging. Furthermore, it utilizes the method of pedigree classification to categorize the identified ten types of resilience. Secondly, these were subsequently divided into three primary categories based on a spectrum of strengths and weaknesses within each unit: dominant, mixed, and disadvantaged clustering. This categorization unveiled the unique resilience distribution patterns within the area. The findings of this study reveal a pronounced differentiation in resilience types among the units in Shijiazhuang’s old city district. This spatial analysis highlighted a significant heterogeneity, with a tendency towards cluster formation. The spatial distribution of different resilience unit types was found to be uneven, leading to the emergence of clustered, patch-like, and zonal agglomerations. Combined with the unit clustering classification and the mean clustering performance of each factor, the response unit of waterlogging control resilience planning is determined for the study area, and the strategy of resilience waterlogging control and linkage is proposed. By mapping the spectrum of rainwater resilience types across the studied area, this research broadens the scope of resilience evaluation from a traditional vertical-level assessment to a more comprehensive horizontal typological analysis, offering empirical, theoretical insights for future resilience-building endeavors in older urban districts.

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Section: (4) Response For Unit Ps With Weak Responsivenessmentioning

confidence: 99%

Classification and Planning Strategies of Multidimensional Resilience Units for Urban Waterlogging: A Case Study of the Old City District in Shijiazhuang, China

Ni,

Li,

Namaiti

2024

Sustainability

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“…However, currently, there is no consensus on a unified evaluation index system or assessment model for urban resilience. This lack of standardization in defining urban resilience indices stems from the diverse perspectives held by various scholars such as urban composition [25,26], socioecological systems [27,28], and the stress-state-response model [29].…”

Section: Evaluation Index For Urban Resiliencementioning

confidence: 99%

Spatiotemporal Evolution and Influencing Factors for Urban Resilience in China: A Provincial Analysis

Zhang,

Liu,

Liu

et al. 2024

Buildings

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In the current era, as modern cities increasingly face environmental disasters and inherent challenges, the creation and enhancement of resilient cities have become critical. China’s urban resilience exhibits significant imbalances and inadequacies at the provincial level. This study delves into the evolution of urban resilience in various Chinese provinces, offering valuable insights for building and nurturing resilient cities. Initially, a comprehensive evaluation system for China’s urban resilience was established, incorporating 24 indicators across three key resilience aspects: resistance, adaptability, and recovery. The entropy weight method was used to develop an urban resilience evaluation model, and the Moran index and spatial cold–hot-spot analysis were applied to examine the spatiotemporal dynamics of urban resilience across China’s 31 provinces from 2012 to 2021. Moreover, the geographically and temporally weighted regression model was employed to analyze the spatial distribution of factors affecting urban resilience. The results show a general upward trend in urban resilience across Chinese provinces, with notable regional differences and concentrations. A significant decrease in urban resilience is observed from southeastern coastal cities to inland regions. The regression model highlights spatial variations in the impact of different factors, with the same factor having varying effects in different provinces. This research provides a thorough understanding of the factors influencing urban resilience in China, contributing to both theoretical and practical discussions on the topic. It lays a strong scientific groundwork for the development and advancement of resilient cities in China.

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“…In addition, urban environments are complex, and urban resilience is subject to multifaceted influences [36]. Multi-functional, interconnected GI systems stand out as an effective strategy for augmenting urban resilience to stormwater [37][38][39][40][41].…”

Section: Introductionmentioning

confidence: 99%

“…The concepts and connotations of stormwater resilience are not uniform and fixed and mostly change with practice and application targets [42]. In this study, we define urban stormwater resilience as the capacity of a city or urban resilient system to withstand and absorb disruptions amid stormwater, adapt while preserving its foundational structure, and achieve recovery and transformation, which needs to take into account the dynamics of stormwater or inundation [36,43,44]. Urban stormwater resilience has gained policy endorsement and widespread application in diverse national management frameworks [36,45].…”

Section: Introductionmentioning

confidence: 99%

“…In this study, we define urban stormwater resilience as the capacity of a city or urban resilient system to withstand and absorb disruptions amid stormwater, adapt while preserving its foundational structure, and achieve recovery and transformation, which needs to take into account the dynamics of stormwater or inundation [36,43,44]. Urban stormwater resilience has gained policy endorsement and widespread application in diverse national management frameworks [36,45]. There is a relative scarcity of analyses concerning urban sub-systems (e.g., green and gray infrastructure systems) during stormwater events and comparisons of resilience enhancements under optimal configuration alternatives [45].…”

Section: Introductionmentioning

confidence: 99%

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Scenario-Based Green Infrastructure Installations for Building Urban Stormwater Resilience—A Case Study of Fengxi New City, China

Mao,

Li,

Bai

et al. 2024

Sustainability

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Global climate change has precipitated a surge in urban flooding challenges, prompting the imperative role of green infrastructure (GI) as the linchpin of sponge city construction to enhance urban sustainability and resilience. But the evaluation of urban stormwater resilience faces challenges due to the lack of a comprehensive evaluation framework taking the intrinsic features of the resilience system into account and the insufficient coverage of alternative scenarios’ performance under multiple rainfall return periods. This study, focusing on Fengxi New City, China, evaluates the suitability of GI (i.e., green roofs, rain gardens, and permeable pavements) and constructs a stormwater management model (SWMM) for urban stormwater hydrological simulation. This study also establishes a comprehensive urban stormwater resilience evaluation system and uses quantitative methods to unify the performances of scenarios under different rainfall return periods. Our analytical findings elucidate that the suitability of GI is predominantly concentrated in the northern and western areas of the study area, with the smallest suitable area observed for permeable pavements. Divergent GIs exhibit disparate performances, with rain gardens emerging as particularly efficacious. Importantly, the combination of multiple GIs yields a synergistic enhancement in resilience, underscoring the strategic advantage of adopting a diverse and integrated approach to GI implementation. This study facilitates a deeper understanding of urban stormwater resilience and assists in informed planning decisions for GI and sponge cities.

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Evaluation of urban resilience based on Service-Connectivity-Environment (SCE) model: A case study of Jinan city, China

Cited by 10 publications

References 45 publications

Classification and Planning Strategies of Multidimensional Resilience Units for Urban Waterlogging: A Case Study of the Old City District in Shijiazhuang, China

Classification and Planning Strategies of Multidimensional Resilience Units for Urban Waterlogging: A Case Study of the Old City District in Shijiazhuang, China

Spatiotemporal Evolution and Influencing Factors for Urban Resilience in China: A Provincial Analysis

Scenario-Based Green Infrastructure Installations for Building Urban Stormwater Resilience—A Case Study of Fengxi New City, China

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