Tsunami evacuation modelling via micro-simulation model. (January 2023)

• Record Type: Journal Article
• Authors: Fathianpour, Azin; Evans, Barry; Jelodar, Mostafa Babaeian; Wilkinson, Suzanne
• Is Part Of: Progress in disaster science. Volume 17(2023)
• Publication Date: 2023-01
• Subjects: Emergency management -- Evacuation modelling -- micro-simulation model; Disasters -- Periodicals; Disaster relief -- Planning -- Periodicals; Emergency management -- Periodicals; 363.3405
• DOI: 10.1016/j.pdisas.2023.100277
• Languages: English
• ISSNs: 2590-0617

Abstract

Abstract: The associated tsunami risks posed to coastal regions in earthquake-prone areas highlight the importance of an effective emergency evacuation plan for these regions. Evacuation simulations have shown to be a valuable tool in assessing the effectiveness of existing evacuation plans and providing solutions for risk reduction, and improving community readiness. This paper describes the development of a micro-simulation evacuation model (MSEM) to assess the effectiveness of local tsunami evacuation processes and test the results with a velocity-based theoretical model. As an agent-based model, the MSEM considers both pedestrian and vehicle interactions and their interactions with each other. The models were used to assess the evacuation scenarios for a tsunami-prone city Napier, in New Zealand. The evacuation process was evaluated based on a local 8.4 Mw earthquake that would trigger a tsunami event, with an evacuation time of 50 min between feeling the initial shake in Napier City and the time of arrival of the tsunami wave. The study outlined within this paper assumes two scenarios: (1) effected population would evacuate by foot, and (2) affected population would evacuate by car, considered to take place during the afternoon at the traffic peak time. The results of the MSEM show factors such as evacuation method, lane and sidewalk capacities, and interactions between individuals affect the individuals' ability to safely evacuate. The MSEM model based on scenario 1 and 2 for Napier City, demonstrated around 85% of residents would reach designated safe area when all evacuating by foot, whilst, only 45% of evacuees will reach their designated safe zone if all individuals attempted to use vehicles as their means of evacuation. Highlights: Considering traffic effect on mass evacuation Developing evacuation simulation model considering vehicular and pedestrian evacuees interactions Considering moving speed variation/reduction in crowd and collision Applying the model to a case study in a tsunami prone area.