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基于可达性分析的体育公园空间分布优化。

Optimization of spatial distribution of sports parks based on accessibility analysis.

机构信息

College of Physical Education, Hunan Normal University, Changsha, Hunan, China.

Key Laboratory of Physical Fitness and Sports Rehabilitation of Hunan Province, Changsha, Hunan, China.

出版信息

PLoS One. 2023 Sep 14;18(9):e0291235. doi: 10.1371/journal.pone.0291235. eCollection 2023.

DOI:10.1371/journal.pone.0291235
PMID:37708178
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10501609/
Abstract

In recent years, public sports services have attracted great attention owing to their increasingly important role in public health. However, effective evaluation metrics measuring the efficiency of such services from a spatial perspective (e.g., accessibility and distribution of sports parks) remain absent. Indeed, most designs of sports park distribution in urban areas did not consider practical factors such as local road networks, population distribution, and resident preference, resulting in low utilization rates of these parks. In this study, a spatial accessibility-based method is proposed for evaluation of the distributions of sports parks. As a demonstration, the distribution of sports parks in the central urban area of Changsha, China was investigated using the proposed method by the GIS network analysis. Additionally, optimization strategies for sports park distribution (in terms of spatial distribution and overall accessibility) were developed by using spatial syntax.

摘要

近年来,公共体育服务因其在公共健康方面的作用越来越重要而受到极大关注。然而,从空间角度衡量这些服务效率的有效评价指标(例如,体育公园的可达性和分布)仍然缺乏。事实上,城市地区的大多数体育公园分布设计都没有考虑当地路网、人口分布和居民偏好等实际因素,导致这些公园的利用率较低。在本研究中,提出了一种基于空间可达性的方法来评估体育公园的分布。作为一个演示,使用 GIS 网络分析,采用所提出的方法研究了中国长沙市中心城区体育公园的分布情况。此外,还使用空间句法开发了体育公园分布(空间分布和整体可达性)的优化策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e6/10501609/c42e7bcbb8d2/pone.0291235.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e6/10501609/b35385ffc650/pone.0291235.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e6/10501609/f4e56de62374/pone.0291235.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e6/10501609/c1d2c7deee29/pone.0291235.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e6/10501609/1cd89ed078a7/pone.0291235.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e6/10501609/c42e7bcbb8d2/pone.0291235.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e6/10501609/b35385ffc650/pone.0291235.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e6/10501609/f4e56de62374/pone.0291235.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e6/10501609/c1d2c7deee29/pone.0291235.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e6/10501609/1cd89ed078a7/pone.0291235.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/77e6/10501609/c42e7bcbb8d2/pone.0291235.g005.jpg

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