A Generalized Minimum Cost Flow Model for Multiple Emergency Flow Routing

During real-life disasters, that is, earthquakes, floods, terrorist attacks, and other unexpected events, emergency evacuation and rescue are two primary operations that can save the lives and property of the affected population. It is unavoidable that evacuation flow and rescue flow will conflict w...

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Published in:Mathematical problems in engineering Vol. 2014; no. 1
Main Authors: Cui, Jianxun, An, Shi, Zhao, Meng
Format: Journal Article
Language:English
Published: New York Hindawi Publishing Corporation 01.01.2014
John Wiley & Sons, Inc
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ISSN:1024-123X, 1563-5147
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Abstract During real-life disasters, that is, earthquakes, floods, terrorist attacks, and other unexpected events, emergency evacuation and rescue are two primary operations that can save the lives and property of the affected population. It is unavoidable that evacuation flow and rescue flow will conflict with each other on the same spatial road network and within the same time window. Therefore, we propose a novel generalized minimum cost flow model to optimize the distribution pattern of these two types of flow on the same network by introducing the conflict cost. The travel time on each link is assumed to be subject to a bureau of public road (BPR) function rather than a fixed cost. Additionally, we integrate contraflow operations into this model to redesign the network shared by those two types of flow. A nonconvex mixed-integer nonlinear programming model with bilinear, fractional, and power components is constructed, and GAMS/BARON is used to solve this programming model. A case study is conducted in the downtown area of Harbin city in China to verify the efficiency of proposed model, and several helpful findings and managerial insights are also presented.
AbstractList During real‐life disasters, that is, earthquakes, floods, terrorist attacks, and other unexpected events, emergency evacuation and rescue are two primary operations that can save the lives and property of the affected population. It is unavoidable that evacuation flow and rescue flow will conflict with each other on the same spatial road network and within the same time window. Therefore, we propose a novel generalized minimum cost flow model to optimize the distribution pattern of these two types of flow on the same network by introducing the conflict cost. The travel time on each link is assumed to be subject to a bureau of public road (BPR) function rather than a fixed cost. Additionally, we integrate contraflow operations into this model to redesign the network shared by those two types of flow. A nonconvex mixed‐integer nonlinear programming model with bilinear, fractional, and power components is constructed, and GAMS/BARON is used to solve this programming model. A case study is conducted in the downtown area of Harbin city in China to verify the efficiency of proposed model, and several helpful findings and managerial insights are also presented.
Author Zhao, Meng
An, Shi
Cui, Jianxun
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ContentType Journal Article
Copyright Copyright © 2014 Jianxun Cui et al.
Copyright © 2014 Jianxun Cui et al. Jianxun Cui et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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– ident: e_1_2_9_23_2
  doi: 10.1016/j.elerap.2006.12.002
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Snippet During real-life disasters, that is, earthquakes, floods, terrorist attacks, and other unexpected events, emergency evacuation and rescue are two primary...
During real‐life disasters, that is, earthquakes, floods, terrorist attacks, and other unexpected events, emergency evacuation and rescue are two primary...
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Publisher
SubjectTerms Disasters
Emergency procedures
Evacuation
Evacuations & rescues
Mathematical models
Mathematical problems
Minimum cost
Mixed integer
Networks
Nonlinear programming
Nuclear accidents & safety
Redesign
Roads
Routing
Seismic phenomena
Travel time
Vehicles
Windows (intervals)
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Title A Generalized Minimum Cost Flow Model for Multiple Emergency Flow Routing
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