Print Email Facebook Twitter Traffic modeling for wildland-urban interface fire evacuation Title Traffic modeling for wildland-urban interface fire evacuation Author Intini, Paolo (University of Bari Aldo Moro; Lund University) Ronchi, Enrico (Lund University) Gwynne, Steven (National Research Council Canada) Pel, A.J. (TU Delft Transport and Planning) Date 2019 Abstract Several traffic modeling tools are currently available for evacuation planning and real-time decision support during emergencies. This paper reviews potential traffic-modeling approaches in the context of wildland-urban interface (WUI) fire-evacuation applications. Existing modeling approaches and features are evaluated pertaining to fire-related, spatial, and demographic factors; intended application (planning or decision support); and temporal issues. This systematic review shows the importance of the following modeling approaches: dynamic modeling structures, considering behavioral variability and route choice; activity-based models for short-notice evacuation planning; and macroscopic traffic simulation for real-time evacuation management. Subsequently, the modeling features of 22 traffic models and applications currently available in practice and the literature are reviewed and matched with the benchmark features identified for WUI fire applications. Based on this review analysis, recommendations are made for developing traffic models specifically applicable to WUI fire evacuation, including possible integrations with wildfire and pedestrian models. To reference this document use: http://resolver.tudelft.nl/uuid:9471286d-bd22-4d53-8598-0d7e6331964d DOI https://doi.org/10.1061/JTEPBS.0000221 ISSN 2473-2907 Source Journal of Transportation Engineering Part A: Systems, 145 (3), 1-15 Bibliographical note Accepted Author Manuscript Part of collection Institutional Repository Document type journal article Rights © 2019 Paolo Intini, Enrico Ronchi, Steven Gwynne, A.J. Pel Files PDF TRAFFIC_MODELLING_FOR_WUI_FIRES.pdf 17.43 MB Close viewer /islandora/object/uuid:9471286d-bd22-4d53-8598-0d7e6331964d/datastream/OBJ/view