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Does city construction improve life quality?-evidence from POI data of China

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  • Wang, Yang
  • Zhang, Hong
  • Liu, Libing

Abstract

To explore the construction of a big data indicator system is conducive to a comprehensive, scientific, timely and accurate grasp of the quality of life of our residents and its evolutionary trends. This paper systematically sorts out the performance dimensions of the residents' quality of life, and integrates two types of methods of objective observation and subjective evaluation commercial POI(Point of Interest) data. From the aspects of life, entertainment, transportation, etc., preliminary development has been made including 8 first-level indicators, 16 second-level indicators, and 27 third-level indicators Big data indicator system, and measure the "clogging point" of the improvement of residents' quality of life, with a view to providing a scientific and feasible decision-making reference for "meeting the people's increasing needs for a better life".

Suggested Citation

  • Wang, Yang & Zhang, Hong & Liu, Libing, 2022. "Does city construction improve life quality?-evidence from POI data of China," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 643-653.
    • Handle: RePEc:eee:reveco:v:80:y:2022:i:c:p:643-653
    DOI: 10.1016/j.iref.2022.01.004
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    Cited by:

    1. Li Yang & Yung‐ho Chiu & Tzu‐Han Chang, 2023. "The impact of quality of life on industrial and agricultural production and environmental efficiency in China's provinces," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 44(2), pages 1054-1072, March.
    2. Xinyu Liu & Yibing Guan & Zihan Wu & Lufeng Nie & Xiang Ji, 2023. "Big Data Application in Urban Commercial Center System Evaluation," Sustainability, MDPI, vol. 15(5), pages 1-25, February.
    3. Gang Xu & Yuxin Liao & Yixin Jiang & Peiyao Xu & Lilin Yang & Wenhua Huang & Manru Zhang & Rong Wu, 2022. "The Impacts of Urban Environments on Community Trust of the Low-Income Group: A Case Study for the Pearl River Delta Region," Land, MDPI, vol. 12(1), pages 1-14, December.

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