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沈阳市公园和绿地的优化策略:提高供给质量和可达性。

Optimization Strategy for Parks and Green Spaces in Shenyang City: Improving the Supply Quality and Accessibility.

机构信息

Liaoning Provincial Key Laboratory of Urban and Architectural Digital Technology, JangHo Architecture College, Northeastern University, Shenyang 110819, China.

出版信息

Int J Environ Res Public Health. 2022 Apr 7;19(8):4443. doi: 10.3390/ijerph19084443.

DOI:10.3390/ijerph19084443
PMID:35457311
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9031746/
Abstract

In this study, we evaluated the supply quality of parks and green spaces within the Third Ring Road area in Shenyang city by combining a landscape pattern index analysis with a principal component analysis. Moreover, a network analysis based on the ArcGIS platform was used to measure the accessibility of parks and green spaces. The research results showed that the overall supply quality of parks and green spaces (−9.55) must be improved. The supply quality levels of the four analyzed park types could be ranked as follows: garden parks (118.00) > community parks (73.67) > comprehensive parks (−16.64) > specific parks (−32.17). Among the analyzed recreation parks, the accessibility of daily recreation parks was poor, while the overall service efficiency of weekly recreation parks was better, except in a few regions. These research results can provide suggestions for future green space planning in Shenyang city. In addition, from the perspective of landscape patterns, studying the service quality of parks and green spaces can provide new ideas for further research on accessibility.

摘要

本研究采用景观格局指数分析与主成分分析相结合的方法,评价了沈阳市三环路以内公园绿地的供给质量,并基于 ArcGIS 平台进行网络分析以测量公园绿地的可达性。研究结果表明,公园绿地的整体供给质量(-9.55)亟待提高。四种分析公园类型的供给质量水平可依次排序为:园林公园(118.00)>社区公园(73.67)>综合公园(-16.64)>专类公园(-32.17)。在分析的游憩公园中,日常游憩公园的可达性较差,而每周游憩公园的整体服务效率较好,但也有几个区域除外。这些研究结果可为沈阳市未来的绿地规划提供建议。此外,从景观格局的角度研究公园绿地的服务质量,可以为进一步研究可达性提供新思路。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ccd/9031746/ff2e239a8351/ijerph-19-04443-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ccd/9031746/eeca76ae7b57/ijerph-19-04443-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ccd/9031746/ff7b7ba5ff8a/ijerph-19-04443-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ccd/9031746/779bb192ee81/ijerph-19-04443-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ccd/9031746/e62454c4e56a/ijerph-19-04443-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ccd/9031746/59ef25b97beb/ijerph-19-04443-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ccd/9031746/ff2e239a8351/ijerph-19-04443-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ccd/9031746/eeca76ae7b57/ijerph-19-04443-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ccd/9031746/ff7b7ba5ff8a/ijerph-19-04443-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ccd/9031746/779bb192ee81/ijerph-19-04443-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ccd/9031746/e62454c4e56a/ijerph-19-04443-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ccd/9031746/59ef25b97beb/ijerph-19-04443-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9ccd/9031746/ff2e239a8351/ijerph-19-04443-g006.jpg

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