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基于TOPSISIS的流行病预防期间社区公共空间的评估和优化模型的研究
Wen Wu1, Xianling Lu1, Wenqian Zeng1
1JangHo Architecture College, Liaoning Provincial Key Laboratory of Urban and Architectural Digital Technology, Northeastern University, Shenyang, 110819 China.
概括
在2019年新型冠状病毒 (2019-nCoV) 流行期间,社区公共空间需要优化安全. 保持社交距离和定期进行设施灭菌有效地将暴露风险降到最低.
科学领域:
- 城市规划 城市规划
- 公共卫生 公共卫生
- 流行病学 流行病学
背景情况:
- 2019年新型冠状病毒 (2019-nCoV) 流行病严重影响了日常生活和公共空间.
- 由于使用模式的改变,社区公共空间需要重新评估和优化.
研究的目的:
- 评估居民对社区公共空间的意见,以防范流行病和社会需求.
- 在疫情期间确定优化社区公共空间的关键指标.
主要方法:
- 在中国进行全国性问卷调查.
- 频率分析,优先级图表和TOPSIS用于数据处理.
- 在武汉进行优化设计的案例研究.
主要成果:
- 居民优先考虑休满足和公共空间的社交距离.
- 社区的公共空间具有相对较高的2019-nCoV暴露风险 (0.386).
- 社交距离 (1.8-3米) 和每日设施灭菌将暴露风险降至最低.
结论:
- 优化社区公共空间对于疫情控制至关重要.
- 开发了一个空间优化模型,重点关注社会距离和设施消毒.
- 建议在社区空间进行软件和硬件改进.
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