PROGRESS IN GEOGRAPHY ›› 2021, Vol. 40 ›› Issue (7): 1113-1126.doi: 10.18306/dlkxjz.2021.07.004

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Evaluation of green space accessibility based on improved Gaussian two-step floating catchment area method: A case study of Shenzhen City, China

TONG De1(), SUN Yiyu1, XIE Miaomiao2,*()   

  1. 1. Peking University (Shenzhen) Laboratory for Urban Future, School of Urban Planning and Design, Peking University Shenzhen Graduate School, Shenzhen 518055, Guangdong, China
    2. School of Land Science and Technology, China University of Geosciences (Beijing), Beijing 100083, China
  • Received:2020-09-21 Revised:2021-01-18 Online:2021-07-28 Published:2021-09-28
  • Contact: XIE Miaomiao;
  • Supported by:
    National Natural Science Foundation of China(41971205);National Natural Science Foundation of China(41771204);Tiehan Scientific Research Open Fund of Laboratory for Urban Future Peking University(201701)


Accessibility of park green space is an important indicator of the livability level of a city. In order to solve the problem of scale imbalance between population and park green space distribution data by traditional accessibility analysis, this study used mobile phone signaling data to obtain the spatial distribution of population, and adopted the Gaussian two-step floating catchment area method to calculate the accessibility of park green space at the scale of traffic analysis zone (TAZ) in Shenzhen City. It also conducted a cluster analysis based on the accessibility results, supply and demand, and traffic conditions. The main conclusions are as follows: 1) More refined population information can be obtained through mobile phone signaling data to improve the accuracy of demand assessment. For different types of parks, the Gaussian two-step floating catchment area method represents an improvement in calculating the accessibility of parks in the city. 2) The overall level of comprehensive accessibility of park green space in Shenzhen is relatively high, but there is an obvious decreasing trend from the city center to the periphery. The mismatch between the accessibility of community parks and the supply and demand of park green space is an important reason for the large difference of accessibility among different regions in Shenzhen. 3) According to the results ofK-means clustering analysis, the TAZ units of the city was divided into low supply low demand low accessibility zone, medium supply low demand medium accessibility zone, high supply high demand medium accessibility zone, and high supply low demand high accessibility zone. 4) The accessibility of park green space can be improved by optimizing park layout, road construction, and residential area planning and layout. By improving data source and model of the traditional accessibility calculation, this study enriches the cases of park green space accessibility evaluation, and the proposed accessibility analysis method based on mobile phone signaling can also provide a reference for the accessibility analysis of other geographic phenomenon.

Key words: park green space, accessibility, two-step floating catchment area method, mobile phone signaling data, Shenzhen City