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评估与改善城市医院周边的主动出行:以中国湘雅医院为例。

Assessing and improving active travel around urban hospitals: A case of Xiangya hospital, China.

作者信息

Deng Haoyu, Wang Tao

机构信息

Beijing Institute of Technology, Beijing, 102488, China.

出版信息

Heliyon. 2023 Sep 9;9(9):e19900. doi: 10.1016/j.heliyon.2023.e19900. eCollection 2023 Sep.

DOI:10.1016/j.heliyon.2023.e19900
PMID:37809805
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10559288/
Abstract

Since the outbreak of COVID-19, there has been a growing trend toward active travel. However, many cities have not given sufficient attention to active transportation, resulting in inadequate safety measures for pedestrians and cyclists. This issue becomes particularly critical around hospitals, closely associated with COVID-19 and where traffic can be more intricate and hazardous. Hence, there is a pressing need for a quantitative assessment of the active travel environment surrounding hospitals to obtain a practical evaluation and devise improvement strategies. This study constructs an Extenics evaluation model to assess the safety, accessibility, traffic pressure, convenience, and comfort of the active travel environment near Xiangya Hospital. Subsequently, optimization strategies are proposed based on the evaluation outcomes. The evaluation results show high traffic pressure around the hospital during peak hours while the infrastructure is insufficient. A diversion strategy must be developed based on the evaluation findings to address safety concerns. Furthermore, issues such as inadequate non-motorized lanes and accessibility facilities in the area are identified. Correspondingly, improvement strategies tailored to the specific problems of each street are suggested based on the evaluation results. While this research focuses on urban hospitals, it aims to offer valuable insights into evaluating and enhancing active travel environments around large public buildings.

摘要

自新冠疫情爆发以来,主动出行的趋势日益明显。然而,许多城市对主动交通并未给予足够重视,导致针对行人和骑自行车者的安全措施不足。在与新冠疫情密切相关且交通可能更为复杂危险的医院周边,这一问题尤为关键。因此,迫切需要对医院周边的主动出行环境进行定量评估,以获得实际评价并制定改进策略。本研究构建了一个可拓学评价模型,以评估湘雅医院附近主动出行环境的安全性、可达性、交通压力、便利性和舒适性。随后,根据评价结果提出了优化策略。评价结果显示,医院周边在高峰时段交通压力较大,同时基础设施不足。必须根据评价结果制定疏导策略以解决安全问题。此外,还发现了该区域非机动车道和无障碍设施不足等问题。相应地,根据评价结果针对每条街道的具体问题提出了改进策略。虽然本研究聚焦于城市医院,但旨在为评估和改善大型公共建筑周边的主动出行环境提供有价值的见解。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e4f/10559288/559db2f96e20/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e4f/10559288/9e0bb2bdbe87/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e4f/10559288/254e80a49681/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e4f/10559288/921c8bdd46a1/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e4f/10559288/2d211ef3f6b0/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e4f/10559288/60678ab2267b/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e4f/10559288/ca3afb2dfbc9/gr9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e4f/10559288/8aa0a89c12f0/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e4f/10559288/9d96cb030366/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e4f/10559288/bbbc3e63b21e/gr12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e4f/10559288/12d36572564f/gr13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e4f/10559288/3c5aad8cc6b8/gr14.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e4f/10559288/54abd8262d74/gr15.jpg

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