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

Tao Wang*, Haoyu Deng

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)528-537
Number of pages10
JournalProcedia Computer Science
Volume214
Issue numberC
DOIs
Publication statusPublished - 2022
Event9th International Conference on Information Technology and Quantitative Management, ITQM 2022 - Beijing, China
Duration: 9 Dec 202211 Dec 2022

Keywords

  • Analytic Hierarchy Process
  • Extentics
  • Hospital
  • Old city
  • Slow traffic

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