Studying the impact of public transport on disaster evacuation

Tri K. Nguyen, Sam Wright, John Betts, Hai L. Vu

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

Disasters of different types are an increasing
threat to modern societies. The speed at which people can evacuate a disaster may mean the difference between life or death. One way of modelling disaster evacuation is by using
multi-agent simulation, in which each person in a population is simulated as an autonomous individual. This enables emergency management groups to analyse the results across a range of
scenarios, under varying parameter settings, to better understand how to reduce evacuation times. Previous studies have used this approach to model disaster evacuations, but only considered evacuation on foot. This research studies the effect of public transport on the evacuation process using the Multi-
Agent Transport Simulation (MATSim) platform. Experimental results show large reductions in the average evacuation time of agents can be achieved using public transport, compared with pedestrian traffic only. A sensitivity analysis illustrates the
conditions under which additional buses can be added to further reduce evacuation time and the limit of this improvement.
Original languageEnglish
Title of host publication2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
EditorsMeng Lu
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Number of pages6
Publication statusPublished - 2020
EventIEEE Conference on Intelligent Transportation Systems 2020 - Rhodes, Greece
Duration: 20 Sep 202023 Sep 2020
Conference number: 23rd
http://www.itsc2020.org (Website)

Conference

ConferenceIEEE Conference on Intelligent Transportation Systems 2020
Abbreviated titleITSC
CountryGreece
CityRhodes
Period20/09/2023/09/20
Internet address

Keywords

  • Management of Exceptional Events: Incidents
  • Evacuation
  • Emergency Management

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