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

Lili Ni,

Jing-Lun Li, Aihemaiti Namaiti

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(7), P. 2717 - 2717

Published: March 26, 2024

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

Language: Английский

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

Lili Ni,

Jing-Lun Li, Aihemaiti Namaiti

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(7), P. 2717 - 2717

Published: March 26, 2024

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

Language: Английский

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