Journal of Geo-information Science ›› 2020, Vol. 22 ›› Issue (6): 1320-1329.doi: 10.12082/dqxxkx.2020.190717

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Identifying Mixed Functions of Urban Public Service Facilities in Beijing by Cumulative Opportunity Accessibility Method

ZHAN Dongsheng1,*(), XIE Chunxin1, ZHANG Wenzhong2, DING Liang3, XU Jingxue2, ZHEN Maocheng4   

  1. 1. School of Management, Zhejiang University of Technology, Hangzhou 310023, China
    2. Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    3. College of Civil Engineering and Architecture, Zhejiang University of Technology, Hangzhou 310023, China
    4. Beijing Research Center of Urban System Engineering, Beijing 100044, China
  • Received:2019-11-25 Revised:2020-03-02 Online:2020-06-25 Published:2020-08-25
  • Contact: ZHAN Dongsheng E-mail:zhands@126.com
  • Supported by:
    Humanities and Social Sciences Research Program of the Ministry of Education(20YJCZH221);National Natural Science Foundation of China(41871170);Supported by Key Laboratory of Regional Sustainable Development Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences

Abstract:

Rapid development and application of urban space-time big data have provided a new data environment and technical means for identifying urban functional areas. However, the literature regarding mixed urban functional areas detection in the field of urban public service facilities is still lacking. Using spatial point-level data of nine categories of urban public service facilities in Beijing with consideration of their rank and quality, this paper employed cumulative opportunity method to measure urban public service facilities' accessibility in Beijing at 1 km×1 km grid scale, and further emphatically analyzed the mixed functions and influencing factors of urban public service facilities. The results show that the spatial distribution of urban public service facilities' cumulative opportunity accessibility in Beijing presented a similar characteristic of central agglomeration. While the specific spatial patterns and coverage areas of urban public service facilities varied by their categories. In addition, functional areas of urban public service facilities in Beijing were divided into the five types: single functional areas, mixed functional areas with single facility oriented, mixed functional areas with two types of oriented facilities, mixed functional areas with three types of oriented facilities, and balanced mixed functional areas. Finally, population density, distance to the city center, land price, and cumulative opportunity accessibility of several commercial-oriented facilities were important factors affecting the existence of mixed function of urban public service facilities in Beijing. Our findings provide insights for both urban functional studies and spatial optimization of urban public service facilities in Beijing.

Key words: big data, urban functional area, public service facilities, mixed functions, cumulative opportunity, accessibility, influencing factors, Beijing