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id caadria2020_223
authors Guo, Qi and Mei, Hongyuan
year 2020
title Research on Spatial Distribution and Performance Evaluation of Mass Sports Facilities Based on Big Data of Social Media - A Case Study of Harbin
source D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 537-546
summary The extensive application of Python script provides a new opportunity for the research on spatial distribution of mass sports facilities. The traditional way to obtain geography information of POI is by the crawler of API open platform, which needs accurate search content. Therefore, it is difficult to obtain the geography information of the mass sports facilities, which do not have specific category name. The paper took Harbin City in China as an example, combined the social network address text crawler and map websites crawler, accurately obtained the geographic information of mass sports facilities, and used ArcGIS to realize the visualization of the spatial distribution information. Combined with the information of Harbin population distribution, the paper evaluated the quantity spatial distribution and type spatial distribution of mass sports facilities by Lorentz curve and Global Moran's I, aiming to evaluate the health service performance of existing mass sports facilities and provide reference for the design and planning of sports facilities. The paper draws the conclusion that the distribution of mass sports buildings in Harbin is relatively average with the population distribution and the clustering of sports function types of mass sports buildings is obvious.
keywords mass sports facilities; spatial distribution; crawler; Lorentz curve; Global Moran’s I
series CAADRIA
email 871557387@qq.com
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