Regional development assessment based on POIs and Geotree: a case study in Beijing-Tianjin-Hebei region

Yuting Liang () and Yunfeng Hu ()
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Yuting Liang: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Yunfeng Hu: Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences

Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, 2024, vol. 26, issue 7, No 95, 18785-18809

Abstract: Abstract The use of Internet data to carry out geographic study has become an academic hotspot in recent years. We referred to the “Zhongke Beauty Index” and crawled 530 thousand POIs (POI: Point of interest) to carry out regional construction evaluation in Beijing-Tianjin-Hebei region. The results showed that: (1) Geographic big data provided detailed information for fine-grained regional research, and the POI evolution tree model revealed the shortcomings of regional development. (2) The Beijing-Tianjin-Hebei comprehensive beauty index in 2019 was 0.21, and Beijing and Tianjin are far ahead of Hebei in terms of ecology and culture. Specifically, the POI types of eco-environment construction of research area were single; the industrial development construction presented a trend of multi-center gathering; the social harmony construction has formed a gathering circle in Beijing; the eastern and central regions were the dominant regions in terms of institutional improvement construction; and the cultural inheritance construction was the shortest board in research area. (3) The evaluation ranking was sensitive to the population and the size of the area in Beijing-Tianjin-Hebei region. When evaluating, the uncertainty caused by the characteristics of indicators and POIs should be fully considered. This article indicated the shortcomings in five dimensions of Beijing-Tianjin-Hebei region and can provide reference for the evaluation of regional construction.

Keywords: Beijing-Tianjin-Hebei; POI data; Evaluation index system; Regional development (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10668-023-03415-6

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