01550560

Component

https://doi.org/10.3141/2532-15

This research aimed to incorporate social capital, defined as information flow from government to population and information flow within a population, into an agent-based evacuation model. The importance of social capital based on lessons from past disasters of broken communications from key decision makers was considered as well as the effectiveness of crowd influence during an evacuation, which is vital to future evacuation plans or infrastructure improvements to resolve congestion on critical links or points. The emphasis of the study was to describe the modeling framework and implementation into an agent-based modeling framework. The software was tested with an illustrative case study. The key findings demonstrated a higher survival rate if evacuees tended to heed the government’s evacuation guidance whenever it was available or to follow the evacuation advice of the neighboring crowd.

01582737

15-2724

English

pp 129–140

2015

Transportation Research Record: Journal of the Transportation Research Board

9780309369152

Print

Figures (6) ; References (27) ; Tables (2)

Behavior; Crowds; Evacuation; Information dissemination; Pedestrians; Traffic congestion; Traveler information and communication systems

Social capital

Pedestrians and Bicyclists; Policy; Safety and Human Factors; Security and Emergencies; I83: Accidents and the Human Factor

PRP, TRIS, TRB, ATRI

Dec 30 2014 12:56PM

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