Refinement of the quantitative models to estimate user's fear in evacuation route planning: A study on the effectiveness of physical factors for signboards

Evacuation planning is becoming crucial due to an increasing number of natural and human-created disasters over last few decades. One of the efficient ways to model the evacuation situation is a network flow optimization model. This model captures most of the necessities of the evacuation planning. Moreover, dynamic network contraflow modeling is considered a potential remedy to decrease the congestion due to its direction reversal property and it addresses the challenges of evacuation route planning. However, there do not exist satisfactory analytical results to this model for general network. In this paper, it is tried to provide an annotated overview on dynamic network contraflow problems related to evacuation planning and to incorporate models and solution strategies to them developed in this field to date.

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Distributed Evacuation Route Planning Using Mobile Agents

Transactions on Computational Collective Intelligence XVII - Lecture Notes in Computer Science ◽

10.1007/978-3-662-44994-3_7 ◽

2014 ◽

pp. 128-144 ◽

Cited By ~ 4

Author(s):

Alejandro Avilés ◽

Munehiro Takimoto ◽

Yasushi Kambayashi

Keyword(s):

Mobile Agents ◽

Route Planning ◽

Evacuation Route Planning ◽

Evacuation Route

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Balancing Hazard Exposure and Walking Distance in Evacuation Route Planning during Earthquake Disasters

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi9070432 ◽

2020 ◽

Vol 9 (7) ◽

pp. 432 ◽

Cited By ~ 1

Author(s):

Wonjun No ◽

Junyong Choi ◽

Sangjoon Park ◽

David Lee

Keyword(s):

Geographical Information Systems ◽

Population Distribution ◽

Route Planning ◽

Floating Population ◽

Geographical Information ◽

Walking Distance ◽

Building Collapse ◽

Hazard Exposure ◽

Evacuation Route Planning ◽

Evacuation Route

Efficient evacuation planning is important for quickly navigating people to shelters during and after an earthquake. Geographical information systems are often used to plan routes that minimize the distance people must walk to reach shelters, but this approach ignores the risk of exposure to hazards such as collapsing buildings. We demonstrate evacuation route assignment approaches that consider both hazard exposure and walking distance, by estimating building collapse hazard zones and incorporating them as travel costs when traversing road networks. We apply our methods to a scenario simulating the 2016 Gyeongju earthquake in South Korea, using the floating population distribution as estimated by a mobile phone network provider. Our results show that balanced routing would allow evacuees to avoid the riskiest districts while walking reasonable distances to open shelters. We discuss the feasibility of the model for balancing both safety and expediency in evacuation route planning.

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