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The Impact of Land Use Change on Disaster Risk from the Perspective of Efficiency

Author

Listed:
  • Qingmu Su

    (Department of Urban Planning, National Cheng Kung University, Tainan 70101, Taiwan)

  • Kaida Chen

    (Department of Urban Planning, National Cheng Kung University, Tainan 70101, Taiwan
    Landscape Architecture, School of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

  • Lingyun Liao

    (Landscape Architecture, School of Landscape Architecture, Fujian Agriculture and Forestry University, Fuzhou 350002, China)

Abstract

The increasing demand of humankind has caused a large number of land use changes, which pose a direct or indirect threat to the environment while promoting economic growth. The lack of risk-oriented land use changes may increase the disaster risk in the region. Therefore, how to study the relationship between land use change and disaster risk deserves attention. In this study, a research framework with quantitative relationship between land use change and disaster risk was constructed from the perspective of efficiency. The framework integrated land use change, disaster losses and environment variable (runoff increment) into a three-stage data envelopment analysis (DEA) assessment model to dynamically evaluate the impact of land use changes on disasters. The main conclusions include: (I) after the influence of runoff increment and random error was excluded, the overall risk score of counties and cities in Taiwan is 0.643, which represents a relatively high level, indicating that land use changes have caused high disaster risk; and (II) the vulnerability of land development in each county and city can be obtained through the comprehensive score of disaster risk the amount of unused input. The results of this study can help government agencies to rank various types of land development and then determine the acceptable risk level and incorporate disaster risk into land development.

Suggested Citation

  • Qingmu Su & Kaida Chen & Lingyun Liao, 2021. "The Impact of Land Use Change on Disaster Risk from the Perspective of Efficiency," Sustainability, MDPI, vol. 13(6), pages 1-14, March.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:6:p:3151-:d:516220
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    References listed on IDEAS

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    1. Kiani Mavi, Reza & Saen, Reza Farzipoor & Goh, Mark, 2019. "Joint analysis of eco-efficiency and eco-innovation with common weights in two-stage network DEA: A big data approach," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 553-562.
    2. Lee, Yoonjeong & Brody, Samuel D., 2018. "Examining the impact of land use on flood losses in Seoul, Korea," Land Use Policy, Elsevier, vol. 70(C), pages 500-509.
    3. H. Fried & C. Lovell & S. Schmidt & S. Yaisawarng, 2002. "Accounting for Environmental Effects and Statistical Noise in Data Envelopment Analysis," Journal of Productivity Analysis, Springer, vol. 17(1), pages 157-174, January.
    4. Min Fan & Hideaki Shibata, 2016. "Water yield, nitrogen and sediment retentions in Northern Japan (Teshio river watershed): land use change scenario analysis," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 21(1), pages 119-133, January.
    5. Lien, G. & Stordal, S. & Hardaker, J.B. & Asheim, L.J., 2007. "Risk aversion and optimal forest replanting: A stochastic efficiency study," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1584-1592, September.
    6. Peng Tian & Jialin Li & Hongbo Gong & Ruiliang Pu & Luodan Cao & Shuyao Shao & Zuoqi Shi & Xiuli Feng & Lijia Wang & Riuqing Liu, 2019. "Research on Land Use Changes and Ecological Risk Assessment in Yongjiang River Basin in Zhejiang Province, China," Sustainability, MDPI, vol. 11(10), pages 1-20, May.
    7. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    8. B. Glavovic & W. Saunders & J. Becker, 2010. "Land-use planning for natural hazards in New Zealand: the setting, barriers, ‘burning issues’ and priority actions," 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. 54(3), pages 679-706, September.
    9. Qingmu Su, 2020. "Long-term flood risk assessment of watersheds under climate change based on the game cross-efficiency DEA," 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. 104(3), pages 2213-2237, December.
    10. O’Brien, Philip & Lord, Alex & Dembski, Sebastian, 2020. "How do planners manage risk in alternative land development models? An institutional analysis of land development in the Netherlands," Land Use Policy, Elsevier, vol. 91(C).
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    5. Asheem Shrestha & Muhammad Jamaluddin Thaheem, 2022. "Risk Management as a Tool for Sustainability," Sustainability, MDPI, vol. 14(7), pages 1-2, April.

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