This paper assesses how exit choice behavior influences the total egress behavior of a crowd during building evacuation. A discrete choice model is proposed to represent pedestrian exit choice decisions during evacuation. The proposed model is based on responses to an Internet questionnaire conducted in the Netherlands and the United States. The results of the Internet questionnaire, consisting of 20 choice experiments by 100 respondents making trade-offs between distance, angular deviation, and group following behavior, are used to estimate a multinomial logit model. Accordingly, a new pedestrian simulation approach that uses a microscopic cellular automata model (EvacPed) is presented. Three levels of decision making are incorporated: global exit choice, regional adaptive route choice, and local operative behavior. Simulations estimate the difference in evacuation time between four exit choice strategies: least distance path, least travel time path, discrete choice incorporating hive knowledge, and discrete choice incorporating vision field. The results suggest that group following behavior has a large impact on the effectiveness of building evacuation.


    Access

    Download

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Exit Choice Decisions during Pedestrian Evacuations of Buildings


    Additional title:

    Transportation Research Record


    Contributors:


    Publication date :

    2012-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    A mixed logit model for predicting exit choice during building evacuations

    Lovreglio, Ruggiero / Fonzone, Achille / dell’Olio, Luigi | Elsevier | 2016


    Modeling exit choice behavior in airplane emergency evacuations

    Xu, Chenchen / Luo, Yiyang / Fuellhart, Kurt et al. | Elsevier | 2023


    Exit Choice Behavior of Pedestrians Involving Individuals with Disabilities During Building Evacuations

    Gaire, Nirdosh / Song, Ziqi / Christensen, Keith M et al. | Transportation Research Record | 2018