Emergency evacuation routing, at critical condition (earthquake), using Analytical Hierarchy Process Technique, and based on the actual weight of the sub-criteria related to the alternative

Document Type : Original Article

Authors

Department of Civil Engineering, Islamic Azad University, Zanjan Branch, Zanjan, Iran.

Abstract

In recent years, research on emergency traffic evacuation has increased intensively. Detection of the optimal discharge route is one of the most important parts of crisis management due to the large number of effective measures. In this research, we have used the Analytical Hierarchy Process, taking into account three criteria, road capacity, population density, and structural parameters, and several sub-criteria, and taking into account the actual weight of the criteria for traffic emergency evacuation routing . The method presented in this research is not limited to these three criteria, and can be done with other criteria, based on the conditions of the case study area. The study area in this research is the region of Sabzemeydan, a region in Zanjan city (capital of Zanjan province, northwest of Iran), which has been studied based on the above criteria. The proposed route for emergency traffic evacuation in the studied area, using the proposed method in this research, has all the effective parameters in traffic evacuation, in times of crisis, and is the most optimal route for simultaneous examination based on their real impact.

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1. 2017 -hwaoiaO.
2. Gai W-m, Deng Y-f, Jiang Z-a, Li J, Du Y. Multi-objective evacuation routing optimization for toxic cloud releases. Reliability Engineering & System Safety. 2017;159:58-68.
3. Osman MS, Ram B. Routing and scheduling on evacuation path networks using centralized hybrid approach. Computers & Operations Research. 2017;88:332-9.
4. Shahabi K, Wilson JP. Scalable evacuation routing in a dynamic environment. Computers, Environment and Urban Systems. 2018;67:29-40.
5. Amideo AE, Scaparra MP, editors. A Scenario Planning Approach for Shelter Location and Evacuation Routing. International Conference on Optimization and Decision Science; 2017: Springer.
6. Zhao T, Huang J, Shi J, Chen C. Route Planning for Military Ground Vehicles in Road Networks under Uncertain Battlefield Environment. Journal of Advanced Transportation. 2018;2018.
7. Üster H, Wang X, Yates JT. Strategic Evacuation Network Design (SEND) under cost and time considerations. Transportation Research Part B: Methodological. 2018;107:124-45.
8. Swamy R, Kang JE, Batta R, Chung Y. Hurricane evacuation planning using public transportation. Socio-Economic Planning Sciences. 2017;59:43- 55.
9. Hu F, Yang S, Hu X, Wang W. Integrated optimization for shelter service area demarcation and evacuation route planning by a ripple-spreading algorithm. International journal of disaster risk reduction. 2017;24:539-48.
10. Qazi A-N, Nara Y, Okubo K, Kubota H. Demand variations and evacuation route flexibility in short-notice bus-based evacuation planning. IATSS research. 2017;41(4):147-52.
11. Silva C, Pimentel LCG, Landau L, Heilbron Filho PFL, Gobbo FGR, de Sousa PdJ. Supportive elements to the decision-making process in the emergency planning of the Angra dos Reis Nuclear Power Complex, Brazil. Environmental Earth Sciences. 2017;76(3):133.
12. Han X, Zhang X, He Y, editors. Traffic Evacuation Plan Research of Dongli Square. Proceedings of the 2015 International Conference on Electrical and Information Technologies for Rail Transportation; 2016: Springer.
13. He Y, Du S. Classification of urban emergency based on fuzzy analytic hierarchy process. Procedia engineering. 2016;137:630-8.
14. Chen X, Li Q. Modeling road network vulnerability for evacuees and first responders in no-notice evacuation. Journal of advanced transportation. 2017;2017.
15. Kim J, Lee S, Lee S. An evacuation route choice model based on multiagent simulation in order to prepare Tsunami disasters. Transportmetrica B: transport dynamics. 2017;5(4):385-401.
16. Tu H, Tamminga G, Drolenga H, de Wit J, van der Berg W. Evacuation plan of the city of almere: simulating the impact of driving behavior on evacuation clearance time. Procedia Engineering. 2010;3:67-75.
17. Pel AJ, Bliemer MC, Hoogendoorn SP. A review on travel behaviour modelling in dynamic traffic simulation models for evacuations. Transportation. 2012;39(1):97-123.
18. Parr SA, Kaisar EI, Stevanovic A. Examining the level of service consequence of transit signal priority during urban evacuation. ProcediaSocial and Behavioral Sciences. 2011;16:588-99.