Rural Post-Earthquake Resettlement Mode Choices: Empirical Case Studies of Sichuan, China

Lei Zhao, Sifan Zhou, Jinglin Zhong, Yibin Ao, Yan Wang*, T. Wang*, Yunfeng Chen

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

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Abstract

Earthquakes occur frequently in rural areas of Sichuan, China, causing huge damage and high mortality. The built environment plays a significant role in providing residents with safe and resilient settlements in such areas. There is yet little research on how rural families in developing countries cope with geological disasters like earthquakes, and how built environmental factors would influence their resettlement choices which would directly affect their quality of life afterward. Urban planning activities should be accompanied by these insights to design and create human-centric resettlements accordingly. In this study, the resettlement choices after three major earthquakes in Sichuan were studied for this reason. Random sampling and face-to-face questionnaire surveys were combined with factor analysis and binary logistic regression to understand the resettlement modes desired by the residents and the influencing factors. The results show that residents who have lived in their current places long and whose houses were not built recently are more likely to choose the in-situ resettlement. Accessibility to employment and public services has a significant impact on residents' choice of in-situ resettlement or reallocated resettlement, and so does the previous resettlement experience. The research results can provide useful suggestions for Chinese rural area post-earthquake resettlement planning following a human-centric approach with empirical data.
Original languageEnglish
Article number861497
Number of pages14
JournalFrontiers in Public Health
Volume10
DOIs
Publication statusPublished - 2022

Keywords

  • post-earthquake resettlement mode
  • influencing factor
  • factor analysis
  • binary logistic regression
  • Wenchuan earthquake
  • Changning earthquake
  • Lushan earthquake

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