Print Email Facebook Twitter Rural Post-Earthquake Resettlement Mode Choices Title Rural Post-Earthquake Resettlement Mode Choices: Empirical Case Studies of Sichuan, China Author Zhao, Lei (Chengdu University of Technology) Zhou, Sifan (Chengdu University of Technology) Zhong, Jinglin (Chengdu University of Technology) Ao, Yibin (Chengdu University of Technology) Wang, Yan (Sichuan College of Architectural Technology) Wang, T. (TU Delft Design & Construction Management) Chen, Yunfeng (Purdue University) Date 2022 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. Subject post-earthquake resettlement modeinfluencing factorfactor analysisbinary logistic regressionWenchuan earthquakeChangning earthquakeLushan earthquake To reference this document use: http://resolver.tudelft.nl/uuid:c1b7f626-4294-498f-ba13-8fc04f7283ba DOI https://doi.org/10.3389/fpubh.2022.861497 ISSN 2296-2565 Source Frontiers in Public Health, 10 Part of collection Institutional Repository Document type journal article Rights © 2022 Lei Zhao, Sifan Zhou, Jinglin Zhong, Yibin Ao, Yan Wang, T. Wang, Yunfeng Chen Files PDF fpubh_10_861497.pdf 795.94 KB Close viewer /islandora/object/uuid:c1b7f626-4294-498f-ba13-8fc04f7283ba/datastream/OBJ/view