The relationship between disaster risk perception and multiple deprivation: A study on Rangpur City, Bangladesh, using geospatial and statistical approaches

Md Zakiur Rahman, F. Atun*, J. Martinez

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

1 Citation (Scopus)
138 Downloads (Pure)

Abstract

Rapid urbanization and multiple deprivation are making cities more prone to numerous disasters. This study examines the relationships between disaster risk perception and multiple deprivation in the Rangpur city Corporation area in Bangladesh. Enhanced understanding of this relationship would bring valuable insights for planning and policies, especially pertinent for vulnerable communities in the Global South. Rangpur city is located in a deprived zone of Bangladesh that is highly prone to earthquake and fire hazards, and the population’s low level of risk perception might exasperate their vulnerability to earthquakes and fire. This study’s research methods include an index of multiple deprivation, earthquake and fire risk perception index, geographic information system (GIS)-based mapping, statistical analysis and questionnaire surveys. The statistical methods are correlation analysis, factor analysis, Kaiser–Meyer–Olkin test and cross-table analysis. The results of the study show that there is no statistically significant relationship between disaster risk perception and multiple deprivation; however, cross-table analysis revealed a relationship between risk perception and deprivation. The study identified the hot spots of hazard risks and deprivation in Rangpur city. To the best of our knowledge, this is the first effort to investigate the relationship between disaster risk perception and multiple deprivation.

Original languageEnglish
Pages (from-to)27-43
Number of pages17
JournalEnvironment and urbanization Asia
Volume13
Issue number1
Early online date18 Apr 2022
DOIs
Publication statusPublished - 2022

Keywords

  • disaster risk reduction
  • Earthquake hazard
  • fire hazard
  • geographic information system
  • multiple deprivation
  • risk perception
  • UT-Hybrid-D
  • ITC-HYBRID

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