Discussion on Critical Factors in Passenger Evacuation based on the Environment Management of Metro Stations – A Case of Shanghai

De-Qiang Liu, Shao-Rong Sun, Zhi-Wang Qian

Ekoloji, 2019, Issue 107, Pages: 359-364, Article No: e107046

OPEN ACCESS

Download Full Text (PDF)

Abstract

The convenient, rapid, and economical metro has become the transportation for people fast moving in the city, releasing the long-term traffic problem, improving the urban traffic flow and function, and enhancing the boom of downtown and the satellite towns. Metro stations therefore become the important nodes for crowds’ gathering, dispersion, and transit. The past experience revealed that a lot of passengers could not find reference for evacuation when disasters occurred, but searched routes for evacuation by themselves, to result in delayed evacuation. Moreover, the lack of effective integration of disaster prevention functions of fire disaster rescue, police directing, medical care, and material delivery could easily cause the waste of rescue resources and seriously affect rescue time. Aiming at metro passengers in Shanghai, total 500 copies of questionnaire are distributed, and 378 valid copies are retrieved, with the retrieval rate 76%. The research results are summarized as followings. 1. “Public awareness” is mostly emphasized among the evaluation dimensions in hierarchy 2, followed by “environment design” and “policy actions”. 2. The overall weight of the evaluation indicators reveals top 5 indicators, among 13 ones, as risk perception, sign system, confidence in government, disaster experience, and smooth traffic flow. According to the results, suggestions are proposed, expecting to enhance the quality of environment safety in metro, guarantee the life safety of metro passengers, and better complete the mass transit safety system.

Keywords

environment perspective, evacuation, critical factor

References

  • Afshari R, Zavar A, Alidoust M (2015) Knowledge and Attitude of Health Network Staff toward Illegal Drug Use. Addict Health, 7(2): 96-98.
  • Ardalan A, Schnelle DD (2016) Introduction to natural disasters. Ciottone’s Disaster Medicine (Second Edition): 566–568.
  • Beskese A, Demir HH, Ozcan HK, Okten HE (2015) Landfill site selection using fuzzy AHP and fuzzy TOPSIS: a case study for Istanbul. Environmental Earth Sciences, 73(7): 3513-3521.
  • Boselli R, Cesarini M, Mercorio F, Mezzanzanica M (2015) Applying the AHP to Smart Mobility Services: A Case Study. Paper presented at the DATA.
  • Chaudhary A, Uprety I (2016) Analysis of telecom service quality factors with analytic hierarchy process and fuzzy extent analysis: a case of public sector unit. International Journal of Business and Systems Research, 10(2-4): 162-185.
  • D’Orazio M, Bernardini G, Tacconi S, Arteconi V (2015) Fire safety in Italian-style historical theatres How photoluminescentwayfinding can improve occupants evacuation with no architecture modifications. Journal of Cultural Heritage, G, 10.
  • Grimwood P, Sanderson IA (2015) A performance based approach to defining and calculating adequate firefighting water using s.8.5 of the design guide BS PD 7974:5:2014 (fire service intervention). Fire Safety Journal, 78: 155-167.
  • Groner NE (2016) A decision model for recommending which building occupants should move where during fire emergencies, Fire Safety Journal, 80: 20-29.
  • Hatamura Y (2015) 5 - Evacuation and decontamination in response to the Fukushima nuclear power plant accident. The 2011 Fukushima Nuclear Power Plant Accident. Boston: Woodhead Publishing.
  • Hosseini MH, Keshavarz E (2017) Using fuzzy AHP and fuzzy TOPSIS for strategic analysis measurement of service quality in banking industry. International Journal of Applied Management Science, 9(1): 55-80.
  • Hung H-C, Yang C-Y, Chien C-Y, Liu Y-C (2016) Building resilience: Mainstreaming community participation into integrated assessment of resilience to climatic hazards in metropolitan land use management. Land Use Policy 50: 48–58.
  • Li H, Zhao L, Huang R, Hu Q (2017) Hierarchical earthquake shelter planning in urban areas: A case for Shanghai in China. International Journal of Disaster Risk Reduction, 22: 431-446.
  • Lovreglio R, Ronchi E, Nilsson D (2015) A model of the decision-making process during pre-evacuation. Fire Safety Journal, 78: 168–179.
  • Masudin I, Saputro T (2016) Evaluation of B2C website based on the usability factors by using fuzzy AHP & hierarchical fuzzy TOPSIS. Paper presented at the IOP Conference Series: Materials Science and Engineering.
  • Thobaity AA, Plummer V, Innes K, Copnell B (2015) Perceptions of knowledge of disaster management among military and civilian nurses in Saudi Arabia. Australasian Emergency Nursing Journal, 18(3): 156-64.
  • Xu J, Yin X, Chen D, An J, Nie G (2016) Multi-criteria location model of earthquake evacuation shelters to aid in urban planning. International Journal of Disaster Risk Reduction, 20: 51-62.