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.
Keywords: Extentics, Analytic Hierarchy Process, Slow traffic, Hospital, Old city
References
- 1.Zhang Yu, Liu Xuemin, Zhang Hong. The dilemma and ideas of urban slow traffic development. Urban Development Research. 2014;21(6):113–116. [Google Scholar]
- 2.Li Congying, Ma Rongguo. Research on urban slow traffic planning methods. Chang'an University. 2011 [Google Scholar]
- 3.Galeazzi A., Cinelli M., Bonaccorsi G. Human mobility in response to COVID-19 in France, Italy and UK. Scientific Reports. 2021;11(1) doi: 10.1038/s41598-021-92399-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Cusack M. Individual, social, and environmental factors associated with active transportation commuting during the COVID-19 pandemic. Journal of Transport & Health. 2021;22 doi: 10.1016/j.jth.2021.101089. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Monfort SS, Cicchino JB, Patton D. Weekday bicycle traffic, and crash rates during the COVID-19 pandemic. J Transp Health. 2021;23 doi: 10.1016/j.jth.2021.101289. Dec. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Shack M, A L Davis, E Wj Zhang, al et. Bicycle injuries presenting to the emergency department during COVID-19 lockdown. J Paediatr Child Health. 2022;58(4):600–603. doi: 10.1111/jpc.15775. Apr. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Teng Aibing, Han Zhubin, Li Xuhong, et al. Pedestrian and bicycle transportation system evaluation index system. Urban Transportation. 2016;14(5):37-43+55. [Google Scholar]
- 8.Jin Jun, Qi Kang, Zhang Man, et al. Quantitative Evaluation of Walking Accessibility in CBD——A Case Study of Zhujiang New Town in Guangzhou and Futian Center in Shenzhen. China Garden. 2016;8:46–51. [Google Scholar]
- 9.Guo Lianliu, Tang Xiaomin. Evaluation of Walking Comfort of Community Roads under the Background of City Betterment and Ecological Restoration——A Case of Shanghai Caoyang New Village. China Garden. 2020;36:70–75. [Google Scholar]
- 10.Jiang Fan, Lu Haoran, Dai Jietao, et al. A Study on the Relationship between TRIZ and Extentics. Journal of Guangzhou University (Natural Science Edition) 2019;18(6):53–58. [Google Scholar]
- 11.Ling Jianming, Hao Hangcheng, Lv Lixuan. Road surface performance Extentics evaluation method. Journal of Tongji University (Natural Science Edition) 2008;1:32–36. [Google Scholar]
- 12.Li Xiaowei, Chen Hong, Li Congpan. A Comprehensive Evaluation of Urban Transportation Sustainability Levels Based on Extentics. Journal of Guangzhou University (Natural Science Edition) 2011;10(4):77–81. [Google Scholar]
- 13.Chen Yang, Ma Jianxiao, Xu Zhihao, et al. Research on the evaluation method of bicycle traffic system based on matter-element analysis. Forestry Engineering. 2018;34(5):84–90. [Google Scholar]
- 14.China Construction Industry Press; 2019. Ministry of Housing and Urban-Rural Development of the People's Republic of China. Urban integrated transportation system planning standards GBT 51328-2018; pp. 28–30. [Google Scholar]
- 15.Li Feng. A study of bicycle capacity and service level on urban roads in China. China Municipalities. 1995;4:11–14. [Google Scholar]
- 16.Fang Pingping. Xi'an University of Science and Technology; 2020. Simulation Analysis of Xi'an Big Wild Goose Pagoda Metro Station Distribution Capacity Modeling. [Google Scholar]
- 17.Fagerholm N., Eilola S., Arki V. Outdoor recreation and nature's contribution to well-being in a pandemic situation - Case Turku, Finland. Urban Forestry & Urban Greening. 2021;64 doi: 10.1016/j.ufug.2021.127257. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Yuan Fei, Ma Xiaodan, Xia Xiaomei. Prediction of Slow City Traffic Demand Based on Space Syntax. Forestry Engineering. 2014;30:114–117. [Google Scholar]
- 19.Zhang Lijie, Luo Sujun, Chai Shufeng. Application of Hierarchical Analysis in Siting of Regional Logistics Centers. Logistics Technology. 2011;34(5):47–49. [Google Scholar]
- 20.Yuan Haitao, Wang Shuai, Zhang Honggang. A review of road performance evaluation methods based on Extentics theory. Western Transportation Technology. 2017;6:20–24. [Google Scholar]