Estimation of Urban Green Spaces Accessibility Using Time Consuming Data from Web Map Service: A Case Study in Shanghai

Authors: Jiabin Gao*, Zhejiang University
Topics: Urban and Regional Planning
Keywords: accessibility; urban green space; time consuming data; web map service
Session Type: Paper
Day: 4/14/2018
Start / End Time: 2:00 PM / 3:40 PM
Room: Studio 2, Marriott, 2nd Floor
Presentation File: No File Uploaded

Accessibility is an important dimension in evaluating public urban green spaces planning. In existing researches, accessibility was generally estimated based on Euclidean distance, which was roughly determined according to acceptable time to access green space. With the vast improvement of GIS and information technology, enormous amounts of geospatial data could be offered by web map service for free, including optimized path choice and corresponding time consuming information by different trip mode, such as walk, drive, public transportation .etc. In the presented paper, a Green Accessibility Index (GAI) was constructed by taking both green space quality and time consuming in consideration. By using Shanghai in southeast China as a case study, every pixel’ s accessibility to different types of urban green space was separately measured with a resolution of 100m × 100m. Furthermore, time periods were also considered in our model. Accessibility of urban green space shows marked difference between rush hours and normal times. Compared with the outcome of taking Euclidean distance as a parameter, estimation accuracy and instantaneity were obviously increased. Finally, a spatially hot and cold spots map of green land is generated by integrating accumulative GAI with population distribution data. Overall, this study provides a low-cost approach for rapid accessibility estimation with significant analytical flexibility when formulating or improving urban green space planning.

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