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Towards Sustainable Urban Communities: A Composite Spatial Accessibility Assessment for Residential Suitability Based on Network Big Data

Author

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  • Yu Zhao

    (Key Laboratory of Urban Environment and Health, the Institute of the Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Guoqin Zhang

    (Key Laboratory of Urban Environment and Health, the Institute of the Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China)

  • Tao Lin

    (Key Laboratory of Urban Environment and Health, the Institute of the Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China)

  • Xiaofang Liu

    (Key Laboratory of Urban Environment and Health, the Institute of the Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
    University of Chinese Academy of Sciences, Beijing 100049, China
    School of Architecture, Huaqiao University, Xiamen 361021, China)

  • Jiakun Liu

    (Key Laboratory of Urban Environment and Health, the Institute of the Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Meixia Lin

    (Key Laboratory of Urban Environment and Health, the Institute of the Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Hong Ye

    (Key Laboratory of Urban Environment and Health, the Institute of the Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China)

  • Lingjie Kong

    (School of Architecture, Huaqiao University, Xiamen 361021, China)

Abstract

Suitable allocation of residential public services is vital to realizing sustainable communities and cities. By combining network big data and spatial analysis, we developed a composite spatial accessibility assessment method for residential suitability of urban public services covering healthcare, leisure, commerce, transportation, and education services. Xiamen City, China is the test site. We found that although most facilities were concentrated on Xiamen Island, there were shortages in the per capita transportation and education service supplements compared with the average performance of Xiamen City because of the high local population. Meanwhile, Tong’an had advantages in the amount of public facilities due to its long history of regional development. However, high-quality facilities were deficient there as well as in other off-island districts. The residential communities surrounding transportation, commerce, and healthcare facilities had a similar allocation pattern in Xiamen City, whereas the residential accessibility of education and leisure services showed regional differences. Due to unbalanced regional development, evident inequality could be witnessed by comparing the composite assessment results of residential suitability between the communities on Xiamen Island and those in the off-island Areas. Our study hopes to provide dedicated support for designing sustainable communities and cities, especially for those in developing countries.

Suggested Citation

  • Yu Zhao & Guoqin Zhang & Tao Lin & Xiaofang Liu & Jiakun Liu & Meixia Lin & Hong Ye & Lingjie Kong, 2018. "Towards Sustainable Urban Communities: A Composite Spatial Accessibility Assessment for Residential Suitability Based on Network Big Data," Sustainability, MDPI, vol. 10(12), pages 1-18, December.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:12:p:4767-:d:190409
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    References listed on IDEAS

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    Cited by:

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    2. Jing Xu & Zhiming Yan & Sai Hu & Chunling Pu, 2022. "The Spatial Distribution and Optimization of Medical and Health Land from the Perspective of Public Service Equalization: A Case Study of Urumqi City," Sustainability, MDPI, vol. 14(13), pages 1-18, June.
    3. Linlin Zhang & Tao Zhou & Chao Mao, 2019. "Does the Difference in Urban Public Facility Allocation Cause Spatial Inequality in Housing Prices? Evidence from Chongqing, China," Sustainability, MDPI, vol. 11(21), pages 1-20, November.
    4. Younes Delhoum & Rachid Belaroussi & Francis Dupin & Mahdi Zargayouna, 2020. "Activity-Based Demand Modeling for a Future Urban District," Sustainability, MDPI, vol. 12(14), pages 1-24, July.
    5. Jinling Sui & Tao Lin & Guoqin Zhang & Hong Ye & Meixia Lin & Hongkai Geng & Yukui Zhang, 2023. "Equity and Driving Factors of Medical Service Supply–Demand Balance for the Elderly in Rapidly Urbanized Communities Based on Big Data Analysis—A Case Study of Xiamen City," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
    6. Yunfeng Hu & Yueqi Han, 2019. "Identification of Urban Functional Areas Based on POI Data: A Case Study of the Guangzhou Economic and Technological Development Zone," Sustainability, MDPI, vol. 11(5), pages 1-15, March.
    7. Zinette Bergman & Manfred Max Bergman, 2022. "Toward Sustainable Communities: A Case Study of the Eastern Market in Detroit," Sustainability, MDPI, vol. 14(7), pages 1-14, April.
    8. Mingyuan Chang & Longyang Huang & Tianlin Zhai & Jiawei Zhu & Yuanbo Ma & Ling Li & Chenchen Zhao, 2023. "A Challenge of Sustainable Urbanization: Mapping the Equity of Urban Public Facilities in Multiple Dimensions in Zhengzhou, China," Land, MDPI, vol. 12(8), pages 1-22, August.
    9. Peishen Wu & Mei Liu, 2022. "A Framework for the Spatial Inequality in Urban Public Facility for Urban Planning, Design and Management," Land, MDPI, vol. 11(9), pages 1-20, August.
    10. Tingting Liu & Xiaoxian Zhu & Mengqiu Cao, 2022. "Impacts of Reduced Inequalities on Quality Education: Examining the Relationship between Regional Sustainability and Higher Education," Sustainability, MDPI, vol. 14(21), pages 1-15, October.

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