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Application of Environmental Change Efficiency to the Sustainability of Urban Development at the Neighborhood Level

Author

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  • Hsing-Fu Kuo

    (Department of Tourism, Leisure and Hospitality Management, National Chi Nan University, Nantou, No.1, University Rd., Puli., Nantou 54561, Taiwan)

  • Ko-Wan Tsou

    (Department of Urban Planning, National Cheng Kung University, No.1, University Rd., East Dist., Tainan City 70101, Taiwan)

Abstract

This study describes a new assessment model framework, termed the driving forces-pressure-state-impact-policy and pattern (DPSIP) model, for environmental change efficiency in urban land development, based on urban sustainable development and the theory of economic efficiency evaluation. A spatial and measurable efficiency value is defined for environmental changes in urban land development, which provides a comprehensive evaluation index for the efficiency of urban development and its environmental impact. This type of urban interior sustainability is considered new within the context of global environmental changes. We identify nine important indicators to evaluate the relative efficiency of 233 neighborhoods in Tainan, Taiwan. The results indicate that the average environmental change efficiency is 89.44%, which shows clear spatial differentiation. The key indicators affecting the efficiency score are area, population density, location, mixed land uses, the floor area ratio, and the impervious ratio. In the future, urban design can reduce environmental impacts and enhance efficiency values.

Suggested Citation

  • Hsing-Fu Kuo & Ko-Wan Tsou, 2015. "Application of Environmental Change Efficiency to the Sustainability of Urban Development at the Neighborhood Level," Sustainability, MDPI, vol. 7(8), pages 1-20, August.
    • Handle: RePEc:gam:jsusta:v:7:y:2015:i:8:p:10479-10498:d:53712
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    4. MATEI Gheorghe, 2023. "Spatial Efficiency Of Romaniaʼs Development Regions From The Perspective Of Sustainable Development," Management of Sustainable Development, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 15(2), pages 19-27, December.
    5. Chengzhen Song & Qingfang Liu & Jinping Song & Zhengyun Jiang & Zhilin Lu & Yueying Chen, 2022. "Land Use Efficiency in the Yellow River Basin in the Background of China’s Economic Transformation: Spatial-Temporal Characteristics and Influencing Factors," Land, MDPI, vol. 11(12), pages 1-22, December.
    6. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    7. Hsing-Fu Kuo & Ko-Wan Tsou, 2017. "Modeling and Simulation of the Future Impacts of Urban Land Use Change on the Natural Environment by SLEUTH and Cluster Analysis," Sustainability, MDPI, vol. 10(1), pages 1-21, December.

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