TY - CHAP
T1 - A Two-Stage Process for Emergency Evacuation Planning
T2 - Shelter Assignment and Routing
AU - Soltani, Ali
AU - Allan, Andrew
AU - Heydari, Mohammad
PY - 2019/5/10
Y1 - 2019/5/10
N2 - With the rapid growth of population and volume of urban flows, cities have become more vulnerable to uneven natural and man-made disasters. In this chapter, we applied a two-stage approach to first find the most appropriate sites for shelters based on the multi-criteria decision-making (MCDM) technique, then an algorithm for determining the best routes of evacuation under an emergency situation was examined. Two well-known scenarios Capacity-Aware Shortest Path Evacuation Routing (CASPER) and the Shortest Path (SP) were applied, then the results were compared together. The CASPER scenario, based on the navigation time and traffic volume of the network, required a longer navigation distance than the SP scenario, although it considered road capacity and the volume of traffic, in conjunction with the minimization of total evacuation time . The case study of research was the City of Sadra, a new town in southern Iran , in the Middle East.
AB - With the rapid growth of population and volume of urban flows, cities have become more vulnerable to uneven natural and man-made disasters. In this chapter, we applied a two-stage approach to first find the most appropriate sites for shelters based on the multi-criteria decision-making (MCDM) technique, then an algorithm for determining the best routes of evacuation under an emergency situation was examined. Two well-known scenarios Capacity-Aware Shortest Path Evacuation Routing (CASPER) and the Shortest Path (SP) were applied, then the results were compared together. The CASPER scenario, based on the navigation time and traffic volume of the network, required a longer navigation distance than the SP scenario, although it considered road capacity and the volume of traffic, in conjunction with the minimization of total evacuation time . The case study of research was the City of Sadra, a new town in southern Iran , in the Middle East.
UR - https://doi.org/10.1007/978-3-030-19424-6
U2 - 10.1007/978-3-030-19424-6_24
DO - 10.1007/978-3-030-19424-6_24
M3 - Chapter
SN - 9783030194239
SN - 9783030194246
T3 - Lecture Notes in Geoinformation and Cartography ((LNGC))
SP - 443
EP - 462
BT - Computational Urban Planning and Management for Smart Cities
A2 - Geertman, Stan
A2 - Zhan, Qingming
A2 - Allan, Andrew
A2 - Pettit, Christopher
CY - Cham, Switzerland
ER -