Exploring the disparities in park accessibility through mobile phone data: Evidence from Fuzhou of China

被引:39
作者
Lin, Yuying [1 ,2 ,3 ]
Zhou, Yanhai [4 ]
Lin, Mingshui [2 ]
Wu, Shidai [2 ,3 ]
Li, Baoyin [1 ,3 ]
机构
[1] Fujian Normal Univ, Postdoctoral Res Stn Ecol, Fuzhou 350007, Peoples R China
[2] Fujian Normal Univ, Coll Tourism, Fuzhou 350117, Peoples R China
[3] Fujian Normal Univ, Coll Geog Sci, Fuzhou 350117, Peoples R China
[4] Fujian Agr & Forestry Univ, Coll Arts, Coll Landscape Architecture, Fuzhou 350002, Peoples R China
基金
中国国家自然科学基金;
关键词
Accessibility; Urban park; Mobile phone data; 2SFCA; Geographically weighted regression; URBAN GREEN SPACE; RURAL TOURISM DEVELOPMENT; SPATIAL ACCESSIBILITY; ENVIRONMENTAL JUSTICE; SOCIAL EQUITY; BIG DATA; ACCESS; CITY; SHANGHAI; INFRASTRUCTURE;
D O I
10.1016/j.jenvman.2020.111849
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Parks are a major public service infrastructure for urban residents. Due to the unbalance geographic distribution of public parks within an urban, residents may have uneven access to this service. Despite there has been an efflorescent literature references, there is no consensus on how to properly measure the accessibility of park. The traditional place-based or infrastructure-based approach is often criticized for inappropriately defining spatial units or threshold distances. Taking a fast urbanization region-Fuzhou City, China as a case, this study overcomes this deficiency by employing the method of two-step floating catchment area (2SFCA) to evaluate the park accessibility using mobile phone data (during December 10, 2018 to December 16, 2018), which is people-based information with actual park users' origin-destination trajectory of park users. The results indicate that the threshold distance is 2 km from the visitors' home to park regardless of level, and the total number of visitors is relative fewer in weekend than that in workdays. The spatial distribution of park effective area presents a notably decreasing trend from the urban center to its periphery; however, the spatial distribution of park accessibility is more scattered and irregular. Finally, different key factors of park accessibility are identified for different locations using Geographically weighted regression (GWR) technique. Our study has a good implication for urban park planner and manager to implement differentiated planning policies for parks with full consideration of holistic factors.
引用
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页数:10
相关论文
共 55 条
  • [51] Social inequalities of park accessibility in Shenzhen, China: The role of park quality, transport modes, and hierarchical socioeconomic characteristics
    Xu, Mengya
    Xin, Jing
    Su, Shiliang
    Weng, Min
    Cai, Zhongliang
    [J]. JOURNAL OF TRANSPORT GEOGRAPHY, 2017, 62 : 38 - 50
  • [52] Public open spaces planning for the elderly: The case of dense urban renewal districts in Hong Kong
    Yung, Esther H. K.
    Conejos, Sheila
    Chan, Edwin H. W.
    [J]. LAND USE POLICY, 2016, 59 : 1 - 11
  • [53] Modeling spatial accessibility to parks: a national study
    Zhang, Xingyou
    Lu, Hua
    Holt, James B.
    [J]. INTERNATIONAL JOURNAL OF HEALTH GEOGRAPHICS, 2011, 10
  • [54] Zhen F., 2019, GEOGR RES, V38, P1954
  • [55] Assessing spatial-temporal dynamics of urban expansion, vegetation greenness and photosynthesis in megacity Shanghai, China during 2000-2016
    Zhong, Qiaoyan
    Ma, Jun
    Zhao, Bin
    Wang, Xinxin
    Zong, Jiamin
    Xiao, Xiangming
    [J]. REMOTE SENSING OF ENVIRONMENT, 2019, 233