Spatial Accessibility of Urban Green Space Based on Multiple Research Scales: A Case Study of Futian District, Shenzhen

Quanyi Zheng, Xiaolong Zhao, Mengxiao Jin

Ekoloji, 2019, Issue 107, Pages: 995-1006, Article No: e107117


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Urban green space is an indispensable public infrastructure for residents. In China, traditional green space planning overemphasizes quantitative indicators and ignores spatial layout. The spatial accessibility assessment of green space makes up for the traditional deficiencies. Traditional accessibility studies used single data and a single method. It fails to fully consider the actual needs of residents, which results in calculation errors. Few scholars used different precision data to evaluate the same green space from multiple scales. Based on multi-source data, this paper uses the big data visualization and 2SFCA improved model to evaluate the accessibility of forty-four UGSs in Futian District of Shenzhen from the street and building scales. The results show that the calculation results of the two methods are similar; 60% of the streets in Futian District have good accessibility, but the internal differences are obvious; the research scale and data accuracy affect the calculation results significantly; the calculation results can describe the service capabilities and scope of UGSs. The results are expected to help planners improve the spatial layout of UGSs and optimize the allocation of UPGS resources.


accessibility, network car data, 2SFCA improve model, multi-scale, data accuracy, supply and demand perspective


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