Abstract
Urban public green space (UPGS) plays an important role in sustainable development. In China, the planning, classification, and management of green spaces are based on the Standard for Classification of Urban Green Space (SCUGS). However, limitations to the UPGS exist due to the over-emphasis on quantitative standards and insufficient consideration of the actual access mode of residents. Though the taxi trajectory data are widely selected to study public service facilities, its adoption in UPGSs research remains limited. Based on the case of UPGSs in the three districts of Shenzhen, we used the taxi (including cruise taxis and Didi cars, which are like Uber) trajectory data to investigate the spatial layout and the allocation of management resource of the UPGSs from the spatial interaction perspective. By rasterizing and visualizing the percentage of pick-up and drop-off points in the UPGSs’ buffer, the service scope of UPGSs was defined, which reflected the spatial distribution and activity intensity of the visitors. Then, an unsupervised classification method was introduced to reclassify the twenty two municipal parks in the three districts. Compared to the traditional planning method, the results show that the service scope of the same type of UPGS in the traditional classification is not the same as the one obtained by the study. Visitors to all UPGSs are distributed as a quadratic function and decay as the distance increases. In addition, the attenuation rates of the same type of UPGSs are similar. The findings of this study are expected to assist planners in improving the spatial layout of UPGSs and optimizing the allocation of UPGS management resources based on new classifications.
Highlights
As a natural resource in high-density cities, urban green spaces play an important role in improving human health and quality of life [1,2]
The visualized taxi data reflects the spatial interaction between Urban public green space (UPGS) and residents and indirectly reflects the actual geographic information in the study area
We used Shenzhen as a case study to investigate the spatial layout and management resource allocation for UPGSs based on taxi trajectory data from the spatial interaction perspective
Summary
As a natural resource in high-density cities, urban green spaces play an important role in improving human health and quality of life [1,2]. Urban green spaces provide the residents with an ideal place for leisure activities and social interactions, as well as enhancing human health by reducing urban noise and controlling air pollution [5]. Urban green spaces can be divided into private and public green spaces based on different ownership. Private green spaces refer to outdoor facilities in private residences or non-residential green spaces that require payment, such as golf courses. The accessibility of private green spaces is not restricted through permission of the owners. Urban public green spaces (UPGSs) represent publicly owned green spaces that can be accessed freely without payment [6]. UPGSs are receiving increasing attention in numerous research fields such as ecology and geography [13,14,15]
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