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Title:

Simulation of Passenger Ship Evacuation Considering Leadership Effect and Noncompliance Behavior

Accession Number:

01628675

Record Type:

Component

Abstract:

Leadership from experienced people during evacuation process has significant influence on crowd evacuation efficiency. However, full compliance is commonly assumed in existing studies. As people may have varied levels of risk perceptions, environment knowledge and trust on leaders, noncompliance can hence be observed in real evacuations. To explore the effects of different compliance rates on crowd evacuation efficiency, an agent-based pedestrian behavioral simulation model was presented in this study. In specific, compliant individuals basically chose the same route as that of his/her leader in zones with multiple route choices. For noncompliant individuals, a number of factors including visibility of alternative routes, individual visiting records, route direction change were used to represent the wayfinding process. Then, four cases with different compliance rates were tested in a passenger ship scenario. Generally, the simulation case in which people were in full compliance with the leadership exhibited highest efficiency, i.e., mean evacuation time was shortest and variations among different individuals were least. Innovatively, visibility conditions of routes were used to facilitate noncompliant evacuees’ wayfinding during evacuation, hence assembly stations that can be observed from more routes were more favored when noncompliance was allowed in simulation cases. The results show the importance of capturing people’s noncompliance behavior in the evacuation process, as it has certain impact on crowd evacuation efficiency. The discussions and model results may provide useful insights for those who need to develop and optimize an ship evacuation plan.

Supplemental Notes:

This paper was sponsored by TRB committee ABR30 Standing Committee on Emergency Evacuations.

Monograph Accession #:

01618707

Report/Paper Numbers:

17-03068

Language:

English

Corporate Authors:

Transportation Research Board

500 Fifth Street, NW
Washington, DC 20001 United States

Authors:

Wang, W L
Xie, Q M
Lo, S M
Tsui, K L
Liu, S B

Pagination:

12p

Publication Date:

2017

Conference:

Transportation Research Board 96th Annual Meeting

Location: Washington DC, United States
Date: 2017-1-8 to 2017-1-12
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Uncontrolled Terms:

Noncompliance

Subject Areas:

Marine Transportation; Operations and Traffic Management; Passenger Transportation; Planning and Forecasting; Security and Emergencies

Source Data:

Transportation Research Board Annual Meeting 2017 Paper #17-03068

Files:

TRIS, TRB, ATRI

Created Date:

Dec 8 2016 11:09AM