Study on slow traffic evaluation method of large hospitals in old urban areas based on Extentics

Tao Wang*, Haoyu Deng

*此作品的通讯作者

科研成果: 期刊稿件会议文章同行评审

摘要

Now that the coronavirus epidemic continues, hospitals have made a series of control measures, which makes the already relatively backward, slow traffic system around the large hospitals in the old city face more severe problems. This paper, based on the analysis of the current issues of slow traffic in large hospitals in old urban areas, according to the elements affecting slow traffic and the needs of slow traffic around hospitals, safety, accessibility, diversion, convenience, and comfortableness are used as the first level indicators, the index weights are determined by applying Analytic Hierarchy Process, and the comprehensive evaluation model of slow traffic around large hospitals in the old city is constructed by using Extentics. Through the case study, the scientific and practicality of the method is verified, which provides a scientific way for the safe and efficient operation of the slow traffic system around the large hospitals in the old city under the present epidemic control.

源语言英语
页(从-至)528-537
页数10
期刊Procedia Computer Science
214
C
DOI
出版状态已出版 - 2022
活动9th International Conference on Information Technology and Quantitative Management, ITQM 2022 - Beijing, 中国
期限: 9 12月 202211 12月 2022

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引用此

Wang, T., & Deng, H. (2022). Study on slow traffic evaluation method of large hospitals in old urban areas based on Extentics. Procedia Computer Science, 214(C), 528-537. https://doi.org/10.1016/j.procs.2022.11.208