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Urban Residential Land Suitability Analysis Combining Remote Sensing and Social Sensing Data: A Case Study in Beijing, China

Author

Listed:
  • Huiping Huang

    (Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China)

  • Qiangzi Li

    (Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China)

  • Yuan Zhang

    (Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

With the degradation of the environment and the acceleration of urbanization, urban residential land has been undergoing rapid changes and has attracted great attention worldwide. Meanwhile, the quantitative evaluation of the suitability of urban residential land is essential for a better and more powerful understanding of urban residential land planning and improvement. Most urban land suitability studies rely solely on remote sensing data and GIS data to evaluate natural suitability, and few studies have focused on urban land suitability from a socioeconomic perspective. Consequently, this paper integrates remote sensing data (GaoFen-2 satellite image) and social sensing data (Tencent User Density data, Point-of-interest data and OpenStreetMap data) to establish an evaluation framework for analyzing the suitability of urban residential land in the Haidian District, Beijing, China, in which, ecological comfortability, locational livability and overall suitability were evaluated according to five attributes extracted from urban residential land via the factor analysis method. The evaluation results of this case study show that, compared with the suburban area in the northwest, the urban area tends to have lower ecological comfortability and higher locational livability. The overall suitability increases from southeast to northwest, consistent with the spatial distribution of ecological comfortability. This framework can potentially assist with the sustainable development of residential lands and urban land use planning.

Suggested Citation

  • Huiping Huang & Qiangzi Li & Yuan Zhang, 2019. "Urban Residential Land Suitability Analysis Combining Remote Sensing and Social Sensing Data: A Case Study in Beijing, China," Sustainability, MDPI, vol. 11(8), pages 1-19, April.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:8:p:2255-:d:222846
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    References listed on IDEAS

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    1. Yu Liu & Xi Liu & Song Gao & Li Gong & Chaogui Kang & Ye Zhi & Guanghua Chi & Li Shi, 2015. "Social Sensing: A New Approach to Understanding Our Socioeconomic Environments," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 105(3), pages 512-530, May.
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    Cited by:

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    2. Amal Al-Ghorayeb & Walid Al-Shaar & Adel Elkordi & Ghaleb Faour & Mohamad Al-Shaar & Youssef Attalah, 2023. "Land Suitability Analysis for Sustainable Urban Development: A Case of Nabatiyeh Region in Lebanon," J, MDPI, vol. 6(2), pages 1-19, May.
    3. Chukwuma, Emmanuel Chibundo & Okey-Onyesolu, Faith Chinenye & Ani, Kingsley Amaechi & Nwanna, Emmanuel Chukwudi, 2021. "GIS bio-waste assessment and suitability analysis for biogas power plant: A case study of Anambra state of Nigeria," Renewable Energy, Elsevier, vol. 163(C), pages 1182-1194.
    4. Beibei Guo & Xiaobin Jin & Yelin Fang & Yinkang Zhou, 2020. "Evaluation of Sustainable Regional Development Combining Remote Sensing Data and Ecological Constraints: A Case Study of Chaohu Basin, China," Sustainability, MDPI, vol. 12(23), pages 1-20, November.
    5. Bohong Zheng & Rui Guo & Komi Bernard Bedra & Yanfen Xiang, 2022. "Quantitative Evaluation of Urban Style at Street Level: A Case Study of Hengyang County, China," Land, MDPI, vol. 11(4), pages 1-28, March.
    6. Leelambar Singh & Subbarayan Saravanan & J. Jacinth Jennifer & D. Abijith, 2021. "Application of multi-influence factor (MIF) technique for the identification of suitable sites for urban settlement in Tiruchirappalli City, Tamil Nadu, India," Asia-Pacific Journal of Regional Science, Springer, vol. 5(3), pages 797-823, October.
    7. Francis Rathinam & Sayak Khatua & Zeba Siddiqui & Manya Malik & Pallavi Duggal & Samantha Watson & Xavier Vollenweider, 2021. "Using big data for evaluating development outcomes: A systematic map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(3), September.
    8. Zhiyong Wang & Tixing Yang & Helin Liu & Man Yuan & Ji Luo & Chun Li, 2019. "Evaluation and Dynamic Mechanism of Ecological Space in a Densely Urbanized Region During a Rapidly Growing Period—A Case Study of the Wu-E-Huang-Huang Metropolitan Interlocking Region," Sustainability, MDPI, vol. 12(1), pages 1-16, December.
    9. Yichen Yang & Shifeng Fang & Hua Wu & Jiaqiang Du & Haomiao Tu & Wei He, 2021. "Spatiotemporal Trends and Driving Factors of Urban Livability in the Yangtze River Delta Agglomeration," Sustainability, MDPI, vol. 13(23), pages 1-19, November.

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