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Analysis of the seismic vulnerability and the structural characteristics of houses in Chinese rural areas

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  • Xiaolu Gao
  • Jue Ji

Abstract

Disastrous earthquakes brought extensive damage to rural houses not designed to resist seismic movements in China. So far, the paucity of nation-wide data on rural houses, especially on their structural features, has prevented a comprehensive national assessment of the earthquake vulnerability of rural areas. This paper estimates the proportion of rural houses in each of five different structural groups in county-level administration units in China with downscaling methods and assesses the seismic vulnerability of counties paying attention to the seismic intensity and social–economic characteristics of different areas. A housing damage index is constructed with the expected amount and ratio of damaged houses in earthquakes, based on which four vulnerability levels are specified for each county-level unit. The results show that highly vulnerable and vulnerable counties account for 7.9 % and 10.7 % of all, respectively. Based on the distribution of these counties, the critical factors of weakness in different regions, such as seismic intensity, housing quality and population density, are analyzed, and risk reduction strategies are discussed. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Xiaolu Gao & Jue Ji, 2014. "Analysis of the seismic vulnerability and the structural characteristics of houses in Chinese rural areas," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 70(2), pages 1099-1114, January.
  • Handle: RePEc:spr:nathaz:v:70:y:2014:i:2:p:1099-1114
    DOI: 10.1007/s11069-013-0860-2
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    References listed on IDEAS

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    1. Kenny, Charles, 2009. "Why do people die in earthquakes ? the costs, benefits and institutions of disaster risk reduction in developing countries," Policy Research Working Paper Series 4823, The World Bank.
    2. Martin Herold & Joseph Scepan & Keith C Clarke, 2002. "The Use of Remote Sensing and Landscape Metrics to Describe Structures and Changes in Urban Land Uses," Environment and Planning A, , vol. 34(8), pages 1443-1458, August.
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    Cited by:

    1. David A. Novelo-Casanova & Ana B. Ponce-Pacheco & Aurora Hernández-Hernández, 2021. "Structural vulnerability maps for small communities— case studies: Unión Juárez and Motozintla, Chiapas; Huexca, Morelos; and Jolalpan, Puebla, Mexico," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 107(1), pages 991-1008, May.
    2. Yuxin Gao & Xianrui Yu & Menghao Xi & Qiuhong Zhao, 2023. "Assessment of Vulnerability Caused by Earthquake Disasters Based on DEA: A Case Study of County-Level Units in Chinese Mainland," Sustainability, MDPI, vol. 15(9), pages 1-15, May.
    3. D. A. Novelo-Casanova & A. Ponce-Pacheco & A. Hernández-Hernández & A. Juárez-Sánchez & M. I. López-Pérez & M. G. Hernández-Bello & O. Vega-Flores, 2019. "Seismic and flood structural risk in Motozintla, Chiapas, Mexico," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 95(3), pages 721-737, February.

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