A two-stage process for emergency evacuation planning: Shelter assignment and routing

Ali Soltani; Andrew Allan; Mohammad Heydari

doi:10.1007/978-3-030-19424-6_24

A two-stage process for emergency evacuation planning: Shelter assignment and routing

Ali Soltani
, Andrew Allan
, Mohammad Heydari

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

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.

Original language	English
Title of host publication	Computational Urban Planning and Management for Smart Cities
Editors	Stan Geertman, Qingming Zhan, Andrew Allan, Christopher Pettit
Place of Publication	Switzerland
Publisher	Springer-Verlag
Chapter	24
Pages	443-462
Number of pages	20
ISBN (Electronic)	9783030194246
ISBN (Print)	9783030194239
DOIs	https://doi.org/10.1007/978-3-030-19424-6_24
Publication status	Published - 2019
Externally published	Yes
Event	16th International Conference on Computers in Urban Planning and Urban Management, CUPUM 2019 - Wuhan, China Duration: 8 Jul 2019 → 12 Jul 2019

Publication series

Name	Lecture Notes in Geoinformation and Cartography
ISSN (Print)	1863-2246
ISSN (Electronic)	1863-2351

Conference

Conference	16th International Conference on Computers in Urban Planning and Urban Management, CUPUM 2019
Country/Territory	China
City	Wuhan
Period	8/07/19 → 12/07/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

Emergency management
Evacuation planning
Passive defense
Route optimization
Shelter
Spatial allocation

Access to Document

10.1007/978-3-030-19424-6_24Licence: In Copyright

https://rdcu.be/dBfF5Licence: In Copyright

Cite this

Soltani, A., Allan, A., & Heydari, M. (2019). A two-stage process for emergency evacuation planning: Shelter assignment and routing. In S. Geertman, Q. Zhan, A. Allan, & C. Pettit (Eds.), Computational Urban Planning and Management for Smart Cities (pp. 443-462). (Lecture Notes in Geoinformation and Cartography). Springer-Verlag. https://doi.org/10.1007/978-3-030-19424-6_24

Soltani, Ali ; Allan, Andrew ; Heydari, Mohammad. / A two-stage process for emergency evacuation planning : Shelter assignment and routing. Computational Urban Planning and Management for Smart Cities. editor / Stan Geertman ; Qingming Zhan ; Andrew Allan ; Christopher Pettit. Switzerland : Springer-Verlag, 2019. pp. 443-462 (Lecture Notes in Geoinformation and Cartography).

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title = "A two-stage process for emergency evacuation planning: Shelter assignment and routing",

abstract = "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.",

keywords = "Emergency management, Evacuation planning, Passive defense, Route optimization, Shelter, Spatial allocation",

author = "Ali Soltani and Andrew Allan and Mohammad Heydari",

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editor = "Stan Geertman and Qingming Zhan and Andrew Allan and Christopher Pettit",

booktitle = "Computational Urban Planning and Management for Smart Cities",

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Soltani, A, Allan, A & Heydari, M 2019, A two-stage process for emergency evacuation planning: Shelter assignment and routing. in S Geertman, Q Zhan, A Allan & C Pettit (eds), Computational Urban Planning and Management for Smart Cities. Lecture Notes in Geoinformation and Cartography, Springer-Verlag, Switzerland, pp. 443-462, 16th International Conference on Computers in Urban Planning and Urban Management, CUPUM 2019, Wuhan, China, 8/07/19. https://doi.org/10.1007/978-3-030-19424-6_24

A two-stage process for emergency evacuation planning: Shelter assignment and routing. / Soltani, Ali; Allan, Andrew; Heydari, Mohammad.
Computational Urban Planning and Management for Smart Cities. ed. / Stan Geertman; Qingming Zhan; Andrew Allan; Christopher Pettit. Switzerland: Springer-Verlag, 2019. p. 443-462 (Lecture Notes in Geoinformation and Cartography).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A two-stage process for emergency evacuation planning

T2 - 16th International Conference on Computers in Urban Planning and Urban Management, CUPUM 2019

AU - Soltani, Ali

AU - Allan, Andrew

AU - Heydari, Mohammad

PY - 2019

Y1 - 2019

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.

KW - Emergency management

KW - Evacuation planning

KW - Passive defense

KW - Route optimization

KW - Shelter

KW - Spatial allocation

UR - https://www.scopus.com/pages/publications/85065927073

U2 - 10.1007/978-3-030-19424-6_24

DO - 10.1007/978-3-030-19424-6_24

M3 - Conference contribution

AN - SCOPUS:85065927073

SN - 9783030194239

T3 - Lecture Notes in Geoinformation and Cartography

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

PB - Springer-Verlag

CY - Switzerland

Y2 - 8 July 2019 through 12 July 2019

ER -

A two-stage process for emergency evacuation planning: Shelter assignment and routing

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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