Abstract

Community resilience is a key index for describing the response of human habitat systems to hazards. Evaluating and enhancing the community resilience requires indicators, identification, and quantitative measurements, especially for urban flooding management. In this study, an advanced index framework for measuring community resilience to urban flooding is proposed, integrating the fuzzy Delphi method (FDM) and the analytic network process (ANP). Seven indicators (public facilities, spatial structure of land use, flood management organizations, rescue capability, accuracy of weather forecasts, vulnerable population, and individual capability) of community resilience are identified using the fuzzy Delphi method. The indicators are classified into four dimensions, and the weights are determined by the analytic network process. This approach is applied to three different types of communities, namely, a newly built neighborhood, an ancient college, and a flood-prone village in the city of Nanning, China, using data collected from questionnaires, interviews, and field investigations. The neighborhood (with a total averaged score of 2.13) has the largest community resilience to urban flooding, followed by the college (1.8), and finally the village (0.91). Flooding management organizations play a leading role in the urban flooding resilience of the neighborhood and college, while the vulnerable population has a great impact on the community resilience of the village. Results of the strategy analysis suggest that science and technology improvement (0.543) is more important than social–economic status improvement (0.325) and built-environment improvement (0.132) for mitigating urban hazards in Nanning. The proposed framework in this study contributes to the interdisciplinary understanding of community resilience for urban flooding and is expected to be applied to sustain urban planning and flood evacuations.

Highlights

  • Due to a changing climate and urbanization, natural hazards are becoming more and more intense and frequent, having devastating impacts on lives and infrastructure [1]

  • This is because the ancient buildings in this college are made of bricks, as it is in the village; some areas of the college are under construction, which influences the built environment of community resilience, new urban planning is going to be covered in the future

  • This study investigated the differences in community resilience to urban flooding in three types of communities, which can be applied to group decision-making methods in urban flood management

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Summary

Introduction

Due to a changing climate and urbanization, natural hazards are becoming more and more intense and frequent, having devastating impacts on lives and infrastructure [1]. The ability to absorb, recover from, and adapt to the hazard events varies, and the system may have different levels of vulnerability Vulnerability is another conception of disaster risk reduction, which reflects the likelihood of damage, and is related to the exposure and sensitivity of the system [15]. Enhancing community resilience to urban floods requires multiple decisions to evaluate the potential resilience at the scale of the community, as well as to diagnose the strategy in risk management. In this study, the community resilience to urban floods in difference types of communities is discussed, and corresponding hazard mitigation strategies have been drawn up. These findings are expected to provide scientific3gouf i2d0ance for risk management of and strategic decisions for urban floods at the community scale. FigurFeig1u. reSt1u. dSytudaryeaa,reAa,: AG:uGaunagnxgixUi Uninviveerrssiittyy ooff CChhiinneesseeMMeeddiciicnien;eB; :Bt:hethZehZuhhuuhvuillavgiell;aCge: ;thCe: the DaxueDnaaxnuenneainghnebiogrhhbooorhdo.od

Data Collection
Measurement Method
Weight Calculation by ANP
Indicators of the ANP Model of Community Resilience to Urban Flood
Validation
Conclusions

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