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Article: Earthquake-related evacuation transportation: Insights from Kerman, Iran

TitleEarthquake-related evacuation transportation: Insights from Kerman, Iran
Authors
KeywordsCrowding
Earthquake
Evacuation transportation
Issue Date8-Jan-2025
PublisherElsevier
Citation
Cities, 2025, v. 158 How to Cite?
AbstractThe crowding aftermath of an earthquake adversely affect the operation of rescue teams, fuel consumption, delay, queuing, and post-disaster situations. In Kerman (Iran), 456 people were surveyed as part of the case study. First step, examines how different factors affect the decision to evacuate or stay in a building after an earthquake. A second phase is devoted to evaluate the voluntary evacuation travel behaviour. The two steps involve the use of random forest and structural equation modeling. The findings suggest that earthquake intensity, time of occurrence, the number of family members, and familiarity with neighborhood streets play a significant role in determining whether people will evacuate or not after an earthquake. For the travel characteristics associated with the voluntary evacuation, media impact, gender, family size, familiarity with neighborhood streets, traffic congestion on neighborhood streets, magnitude of the earthquake, and previous experiences all play a major role. Based on these findings, transport planners and city policy makers can make cities more resilient. Social media is a good tool for managing evacuation decision, while transport management strategies such as contraflow operations, signal coordination, transit operations, shoulder lane use, barricades, moveable barriers, and arrow boards are useful for neighborhoods with fewer tall buildings.
Persistent Identifierhttp://hdl.handle.net/10722/355299
ISSN
2023 Impact Factor: 6.0
2023 SCImago Journal Rankings: 1.733

 

DC FieldValueLanguage
dc.contributor.authorNadimi, Navid-
dc.contributor.authorLoo, Becky P.Y.-
dc.contributor.authorMansourifar, Fariborz-
dc.contributor.authorZayandehroodi, Mohammad Ali-
dc.contributor.authorKazemi, Maryam-
dc.date.accessioned2025-04-02T00:35:13Z-
dc.date.available2025-04-02T00:35:13Z-
dc.date.issued2025-01-08-
dc.identifier.citationCities, 2025, v. 158-
dc.identifier.issn0264-2751-
dc.identifier.urihttp://hdl.handle.net/10722/355299-
dc.description.abstractThe crowding aftermath of an earthquake adversely affect the operation of rescue teams, fuel consumption, delay, queuing, and post-disaster situations. In Kerman (Iran), 456 people were surveyed as part of the case study. First step, examines how different factors affect the decision to evacuate or stay in a building after an earthquake. A second phase is devoted to evaluate the voluntary evacuation travel behaviour. The two steps involve the use of random forest and structural equation modeling. The findings suggest that earthquake intensity, time of occurrence, the number of family members, and familiarity with neighborhood streets play a significant role in determining whether people will evacuate or not after an earthquake. For the travel characteristics associated with the voluntary evacuation, media impact, gender, family size, familiarity with neighborhood streets, traffic congestion on neighborhood streets, magnitude of the earthquake, and previous experiences all play a major role. Based on these findings, transport planners and city policy makers can make cities more resilient. Social media is a good tool for managing evacuation decision, while transport management strategies such as contraflow operations, signal coordination, transit operations, shoulder lane use, barricades, moveable barriers, and arrow boards are useful for neighborhoods with fewer tall buildings.-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofCities-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectCrowding-
dc.subjectEarthquake-
dc.subjectEvacuation transportation-
dc.titleEarthquake-related evacuation transportation: Insights from Kerman, Iran-
dc.typeArticle-
dc.identifier.doi10.1016/j.cities.2025.105713-
dc.identifier.scopuseid_2-s2.0-85214316916-
dc.identifier.volume158-
dc.identifier.eissn1873-6084-
dc.identifier.issnl0264-2751-

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