@article{ref1,
title="Vulnerability assessment during mass evacuation: integrated microsimulation-based evacuation modeling approach",
journal="Transportation research record",
year="2019",
author="Alam, MD Jahedul and Habib, Muhammad Ahsanul",
volume="2673",
number="10",
pages="225-238",
abstract="This study develops an integrated microsimulation-based evacuation model that performs a vulnerability assessment of the Halifax Peninsula, Canada during an evacuation. The proposed framework of vulnerability assessment accounts for long-term changes in neighborhood composition in relation to socio-demographic characteristics, residential locations, and vehicle ownership. The results of a large-scale urban systems model and a flood risk model are used to inform the vulnerability assessment. The urban systems model encapsulates long-term household decisions and life stage transitions in measuring social vulnerability. The flood risk model provides information on flood severity and finer network disruptions. In addition, a dynamic traffic assignment-based microsimulation model is developed to assess mobility vulnerability during an evacuation. One of the key contributions of this study is that it utilizes a Bayesian Belief Network modeling approach for vulnerability assessment, while addressing uncertainty and causal relationships between different elements of vulnerability. The results suggest that the Peninsula zones are at a relatively higher risk from a mobility point of view. A sensitivity analysis reveals that clearance time has been found to be the key determinant of the mobility vulnerability during an evacuation. &quot;Presence of female&quot; and &quot;presence of seniors&quot; are found as the two most significant contributors of social vulnerability. Several peripheral zones are at a higher risk because of their proximity to the flood source. The proposed research will help emergency professionals and engineers to develop effective evacuation plans in relation to vulnerable areas.<p /> <p>Language: en</p>",
language="en",
issn="0361-1981",
doi="10.1177/0361198119848409",
url="http://dx.doi.org/10.1177/0361198119848409"
}