<p>As global climate change escalates and urban populations expand, natural disasters, including urban flooding, pose significant risks to rapidly urbanizing cities. Against this background, enhancing community resilience is widely recognized as one of the crucial approaches to mitigating the impact of disasters. Based on a survey in Chengdu, the Communities Advancing Resilience Toolkit (CART) assessment was employed to measure the perceived community resilience across three community types: urban, exurban, and suburban. 387 valid questionnaires were collected in this study, and the data were analyzed by using multiple linear regression analysis to explore the main influencing factors. Results indicate that: (1) Urban center residents reported the highest resilience perception, while those of the suburban community exhibited the lowest level. (2) Built environment characteristics contributed to intra-community variations in resilience perception. (3) Socio-demographic factors (e.g., age, income, education) and participation in disaster risk reduction (DRR) activities (particularly community volunteering and disaster drills) were significantly correlated with higher resilience scores. These findings highlight the significance of incorporating social capital and community involvement into urban resilience planning. Therefore, a “multi-sectoral approach” integrated framework is proposed for enhancing community resilience to cope with flooding and other disaster risks.</p>

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Community resilience to urban flooding across comparative neighborhoods in China

  • Yang Wei,
  • Tetsuo Kidokoro,
  • Fumihiko Seta,
  • Yi Yang

摘要

As global climate change escalates and urban populations expand, natural disasters, including urban flooding, pose significant risks to rapidly urbanizing cities. Against this background, enhancing community resilience is widely recognized as one of the crucial approaches to mitigating the impact of disasters. Based on a survey in Chengdu, the Communities Advancing Resilience Toolkit (CART) assessment was employed to measure the perceived community resilience across three community types: urban, exurban, and suburban. 387 valid questionnaires were collected in this study, and the data were analyzed by using multiple linear regression analysis to explore the main influencing factors. Results indicate that: (1) Urban center residents reported the highest resilience perception, while those of the suburban community exhibited the lowest level. (2) Built environment characteristics contributed to intra-community variations in resilience perception. (3) Socio-demographic factors (e.g., age, income, education) and participation in disaster risk reduction (DRR) activities (particularly community volunteering and disaster drills) were significantly correlated with higher resilience scores. These findings highlight the significance of incorporating social capital and community involvement into urban resilience planning. Therefore, a “multi-sectoral approach” integrated framework is proposed for enhancing community resilience to cope with flooding and other disaster risks.