IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v26y2024i7d10.1007_s10668-023-03415-6.html
   My bibliography  Save this article

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

Author

Listed:
  • Yuting Liang

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
    College of Resources and Environment, University of Chinese Academy of Sciences)

  • Yunfeng Hu

    (Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
    College of Resources and Environment, University of Chinese Academy of Sciences)

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.

Suggested Citation

  • Yuting Liang & Yunfeng Hu, 2024. "Regional development assessment based on POIs and Geotree: a case study in Beijing-Tianjin-Hebei region," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 18785-18809, July.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:7:d:10.1007_s10668-023-03415-6
    DOI: 10.1007/s10668-023-03415-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-023-03415-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-023-03415-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bo Liu & Desheng Xue & Yiming Tan, 2019. "Deciphering the Manufacturing Production Space in Global City-Regions of Developing Countries—a Case of Pearl River Delta, China," Sustainability, MDPI, vol. 11(23), pages 1-26, December.
    2. Tongwen Wang & Ya Li & Haidong Li & Shuaijun Chen & Hongkai Li & Yunxing Zhang, 2022. "Research on the Vitality Evaluation of Parks and Squares in Medium-Sized Chinese Cities from the Perspective of Urban Functional Areas," IJERPH, MDPI, vol. 19(22), pages 1-23, November.
    3. Tianle Li & Xinqi Zheng & Chunxiao Zhang & Ruiguo Wang & Jiayu Liu, 2022. "Mining Spatial Correlation Patterns of the Urban Functional Areas in Urban Agglomeration: A Case Study of Four Typical Urban Agglomerations in China," Land, MDPI, vol. 11(6), pages 1-18, June.
    4. Yani Lai & Zhen Lv & Chunmei Chen & Quan Liu, 2022. "Exploring Employment Spatial Structure Based on Mobile Phone Signaling Data: The Case of Shenzhen, China," Land, MDPI, vol. 11(7), pages 1-15, June.
    5. Xueqi Wang & Zhichong Zou, 2021. "Open Data Based Urban For-Profit Music Venues Spatial Layout Pattern Discovery," Sustainability, MDPI, vol. 13(11), pages 1-22, June.
    6. Weifeng Li & Jiawei He & Qing Yu & Yujiao Chang & Peng Liu, 2021. "Using POI Data to Identify the Demand for Pedestrian Crossing Facilities at Mid-Block," Sustainability, MDPI, vol. 13(23), pages 1-13, November.
    7. Wang, Jiangbo & Yamamoto, Toshiyuki & Liu, Kai, 2021. "Spatial dependence and spillover effects in customized bus demand: Empirical evidence using spatial dynamic panel models," Transport Policy, Elsevier, vol. 105(C), pages 166-180.
    8. Tai Zhang & Bin Wang & Yisong Ge & Chengzhi Li, 2022. "Research on Green Space Service Space Based on Crowd Aggregation and Activity Characteristics under Big Data—Take Tacheng City as an Example," IJERPH, MDPI, vol. 19(22), pages 1-15, November.
    9. Yuewen Yang & Dongyan Wang & Zhuoran Yan & Shuwen Zhang, 2021. "Delineating Urban Functional Zones Using U-Net Deep Learning: Case Study of Kuancheng District, Changchun, China," Land, MDPI, vol. 10(11), pages 1-21, November.
    10. Ting Liu & Gang Cheng & Jie Yang, 2023. "Multi-Scale Recursive Identification of Urban Functional Areas Based on Multi-Source Data," Sustainability, MDPI, vol. 15(18), pages 1-24, September.
    11. Beibei Yu & Zhonghui Wang & Haowei Mu & Li Sun & Fengning Hu, 2019. "Identification of Urban Functional Regions Based on Floating Car Track Data and POI Data," Sustainability, MDPI, vol. 11(23), pages 1-18, November.
    12. Anna Busłowska & Jacek Marcinkiewicz, 2023. "Social Cohesion of Functional Urban Areas (Example of Eastern Poland)," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 167(1), pages 451-473, June.
    13. Siyu Ma & Lin Yang & Mei-Po Kwan & Zejun Zuo & Haoyue Qian & Minghao Li, 2021. "Do Individuals’ Activity Structures Influence Their PM 2 . 5 Exposure Levels? Evidence from Human Trajectory Data in Wuhan City," IJERPH, MDPI, vol. 18(9), pages 1-27, April.
    14. Pengcheng Lv & Xiaodong Li & Haoyu Zhang & Xiang Liu & Lingzhang Kong, 2022. "Research on the Spatial and Temporal Distribution of Logistics Enterprises in Xinjiang and the Influencing Factors Based on POI Data," Sustainability, MDPI, vol. 14(22), pages 1-22, November.
    15. Wang, Jiangbo & Yamamoto, Toshiyuki & Liu, Kai, 2022. "Exploring the subscribing behavior of customized bus passengers: Active users versus inactive users," Journal of choice modelling, Elsevier, vol. 43(C).
    16. Li, Xianghua & Deng, Yue & Yuan, Xuesong & Wang, Zhen & Gao, Chao, 2022. "Data-driven behavioral analysis and applications: A case study in Changchun, China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 596(C).
    17. Feilong Hao & Ming Lu & Tingting Yu & Shijun Wang, 2024. "Identification and characterization of urban polycentric structure based on points of interest in Shenyang, China," Growth and Change, Wiley Blackwell, vol. 55(1), March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:endesu:v:26:y:2024:i:7:d:10.1007_s10668-023-03415-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.