Rethinking disaster resilience in high-density cities: Towards an urban resilience knowledge system

Muhammad Sajjad, Johnny C. L. Chan, Shauhrat S. Chopra

Research output: Contribution to journalArticlepeer-review

Abstract

Fostering high-resolution disaster resilience assessment is essential for high-density cities (HDCs) given their congested built environment. This study introduces and demonstrates a spatial disaster resilience profiling (S-DReP) framework for HDCs. First, an indicator set is presented for resilience assessment in HDCs within a built environment. Second, this indicator set is adopted to identify the spatially-varying patterns of neighbourhood disaster resilience in HDCs. In contrast to typical resilience frameworks, the developed framework also takes into account the spatio-environmental factors within the built environment. As an illustrative example, we demonstrate the application of S-DReP framework to one of the most populated districts in Hong Kong, namely Sha Tin. Building-level data for 24 indicators and infrastructure data are used to compute a spatially-relative disaster resilience index. To inform the planners with disparities among different resilience components, the Analysis of Variance approach is employed to explore the distribution of resilience. To identify the priority intervention areas, the spatial assessments are made using several geo-information models. The proposed S-DReP framework provides a roadmap to establish an urban resilience knowledge system in HDCs enabling practitioners, decision-makers, and local bodies to design action plans for future vigilance reducing the worsening impacts of hazards on cities.

Original languageEnglish
Article number102850
Number of pages19
JournalSustainable Cities and Society
Volume69
DOIs
Publication statusPublished - Jun 2021

Scopus Subject Areas

  • Civil and Structural Engineering
  • Geography, Planning and Development
  • Renewable Energy, Sustainability and the Environment
  • Transportation

User-Defined Keywords

  • Built environment
  • Geographic information system
  • Hong Kong
  • Natural hazards
  • Spatial analysis
  • Urban resilience knowledge system

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