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Geodetector-Based Livability Analysis of Potential Resettlement Locations for Villages in Coal Mining Areas on the Loess Plateau of China

Author

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  • Jingya Tang

    (School of Geological Engineering and Geomatics, Chang’an University, Xi’an 710064, China
    Institute of Geography and Geoecology (IFGG), Karlsruhe Institute of Technology (KIT), Kaiserstrasse 12, 76131 Karlsruhe, Germany)

  • Lichun Sui

    (School of Geological Engineering and Geomatics, Chang’an University, Xi’an 710064, China)

Abstract
The resettlement of residents within the construction area of large projects is an important task related to people’s welfare. Livability is often used as an evaluation indicator when selecting resettlement areas. According to the results of the China Development Plan and 300 questionnaires, the human settlement factors that constitute livability include the living environment, ecological health, infrastructure, public facilities, and economic development, data on which can only be obtained from existing villages, and therefore cannot be used to directly assess the livability of potential resettlement areas. In fact, these human settlement factors are formed by the complex influences of numerous geographical factors (e.g., slope, slope orientation, accessibility, etc.), and it is scientific and reliable to use these geographical factors, which can be determined for each location, to carry out the livability assessment of potential resettlement areas. To this end, this paper takes the village resettlement project in the Dafosi coal mining area on the Loess Plateau of China as an example, calculates the livability scores of the existing villages around the coal mine using the entropy weighting method, and quantitatively analyzes the relationship between the livability scores and the selected geographic factors using a spatial correlations analysis method named Geodetector. It further uses the weighted overlayed function to superimpose the main geographic factors in order to obtain a livability grading map of the potential resettlement area. The results were successfully applied to the above resettlement project. We also verified the accuracy of this paper’s assessment method by adding 184 natural villages, and the method can be applied to other types of resettlement area livability assessment.

Suggested Citation

  • Jingya Tang & Lichun Sui, 2022. "Geodetector-Based Livability Analysis of Potential Resettlement Locations for Villages in Coal Mining Areas on the Loess Plateau of China," Sustainability, MDPI, vol. 14(14), pages 1-19, July.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:14:p:8365-:d:858333
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    References listed on IDEAS

    as
    1. Qian, Zhu & Xue, Jianhong, 2017. "Small town urbanization in Western China: Villager resettlement and integration in Xi’an," Land Use Policy, Elsevier, vol. 68(C), pages 152-159.
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    3. Kanako Iuchi, 2014. "Planning Resettlement After Disasters," Journal of the American Planning Association, Taylor & Francis Journals, vol. 80(4), pages 413-425, October.
    4. Yonghua Zhao & Li Liu & Shuaizhi Kang & Yong Ao & Lei Han & Chaoqun Ma, 2021. "Quantitative Analysis of Factors Influencing Spatial Distribution of Soil Erosion Based on Geo-Detector Model under Diverse Geomorphological Types," Land, MDPI, vol. 10(6), pages 1-17, June.
    5. José Balsa-Barreiro & Alfredo J. Morales & Rubén C. Lois-González & Ãtila Bueno, 2021. "Mapping Population Dynamics at Local Scales Using Spatial Networks," Complexity, Hindawi, vol. 2021, pages 1-14, May.
    6. Shaye Palagi & Amy Javernick-Will, 2020. "Pathways to Livable Relocation Settlements Following Disaster," Sustainability, MDPI, vol. 12(8), pages 1-25, April.
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    Cited by:

    1. Hejie Wei & Yingying Gao & Qing Han & Ling Li & Xiaobin Dong & Mengxue Liu & Qingxiang Meng, 2022. "Quality Evaluation and Obstacle Identification of Human Settlements in the Qinghai–Tibet Plateau Based on Multi-Source Data," Land, MDPI, vol. 11(9), pages 1-21, September.

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