Multi-Objective Emergency Material Vehicle Dispatching and Routing under Dynamic Constraints in an Earthquake Disaster Environment
Emergency material vehicle dispatching and routing (EMVDR) is an important task in emergency relief after large-scale earthquake disasters. However, EMVDR is subject to dynamic disaster environment, with uncertainty surrounding elements such as the transportation network and relief materials. Accura...
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doaj-5290dd984ad54371a0d8fb3b195b3acb2020-11-24T23:25:37ZengMDPI AGISPRS International Journal of Geo-Information2220-99642017-05-016514210.3390/ijgi6050142ijgi6050142Multi-Objective Emergency Material Vehicle Dispatching and Routing under Dynamic Constraints in an Earthquake Disaster EnvironmentJincheng Jiang0Qingquan Li1Lixin Wu2Wei Tu3Shenzhen Key Laboratory of Spatial Smart Sensing and Service, Smart City Research Institute, School of Civil Engineering, Shenzhen University, Shenzhen 518060, ChinaShenzhen Key Laboratory of Spatial Smart Sensing and Service, Smart City Research Institute, School of Civil Engineering, Shenzhen University, Shenzhen 518060, ChinaSchool of Geoscience and Infor-Physics, Central South University, Changsha 410083, ChinaShenzhen Key Laboratory of Spatial Smart Sensing and Service, Smart City Research Institute, School of Civil Engineering, Shenzhen University, Shenzhen 518060, ChinaEmergency material vehicle dispatching and routing (EMVDR) is an important task in emergency relief after large-scale earthquake disasters. However, EMVDR is subject to dynamic disaster environment, with uncertainty surrounding elements such as the transportation network and relief materials. Accurate and dynamic emergency material dispatching and routing is difficult. This paper proposes an effective and efficient multi-objective multi-dynamic-constraint emergency material vehicle dispatching and routing model. Considering travel time, road capacity, and material supply and demand, the proposed EMVDR model is to deliver emergency materials from multiple emergency material depositories to multiple disaster points while satisfying the objectives of maximizing transport efficiency and minimizing the difference of material urgency degrees among multiple disaster points at any one time. Furthermore, a continuous-time dynamic network flow method is developed to solve this complicated model. The collected data from Ludian earthquake were used to conduct our experiments in the post-quake and the results demonstrate that: (1) the EMVDR model adapts to the dynamic disaster environment very well; (2) considering the difference of material urgency degree, the material loss ratio is −10.7%, but the variance of urgency degree decreases from 2.39 to 0.37; (3) the EMVDR model shows good performance in time and space, which allows for decisions to be made nearly in real time. This paper can provide spatial decision-making support for emergency material relief in large-scale earthquake disasters.http://www.mdpi.com/2220-9964/6/5/142emergency dispatching and routingmulti-objectivedynamic constraintsnetwork flowspatial decision support |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jincheng Jiang Qingquan Li Lixin Wu Wei Tu |
spellingShingle |
Jincheng Jiang Qingquan Li Lixin Wu Wei Tu Multi-Objective Emergency Material Vehicle Dispatching and Routing under Dynamic Constraints in an Earthquake Disaster Environment ISPRS International Journal of Geo-Information emergency dispatching and routing multi-objective dynamic constraints network flow spatial decision support |
author_facet |
Jincheng Jiang Qingquan Li Lixin Wu Wei Tu |
author_sort |
Jincheng Jiang |
title |
Multi-Objective Emergency Material Vehicle Dispatching and Routing under Dynamic Constraints in an Earthquake Disaster Environment |
title_short |
Multi-Objective Emergency Material Vehicle Dispatching and Routing under Dynamic Constraints in an Earthquake Disaster Environment |
title_full |
Multi-Objective Emergency Material Vehicle Dispatching and Routing under Dynamic Constraints in an Earthquake Disaster Environment |
title_fullStr |
Multi-Objective Emergency Material Vehicle Dispatching and Routing under Dynamic Constraints in an Earthquake Disaster Environment |
title_full_unstemmed |
Multi-Objective Emergency Material Vehicle Dispatching and Routing under Dynamic Constraints in an Earthquake Disaster Environment |
title_sort |
multi-objective emergency material vehicle dispatching and routing under dynamic constraints in an earthquake disaster environment |
publisher |
MDPI AG |
series |
ISPRS International Journal of Geo-Information |
issn |
2220-9964 |
publishDate |
2017-05-01 |
description |
Emergency material vehicle dispatching and routing (EMVDR) is an important task in emergency relief after large-scale earthquake disasters. However, EMVDR is subject to dynamic disaster environment, with uncertainty surrounding elements such as the transportation network and relief materials. Accurate and dynamic emergency material dispatching and routing is difficult. This paper proposes an effective and efficient multi-objective multi-dynamic-constraint emergency material vehicle dispatching and routing model. Considering travel time, road capacity, and material supply and demand, the proposed EMVDR model is to deliver emergency materials from multiple emergency material depositories to multiple disaster points while satisfying the objectives of maximizing transport efficiency and minimizing the difference of material urgency degrees among multiple disaster points at any one time. Furthermore, a continuous-time dynamic network flow method is developed to solve this complicated model. The collected data from Ludian earthquake were used to conduct our experiments in the post-quake and the results demonstrate that: (1) the EMVDR model adapts to the dynamic disaster environment very well; (2) considering the difference of material urgency degree, the material loss ratio is −10.7%, but the variance of urgency degree decreases from 2.39 to 0.37; (3) the EMVDR model shows good performance in time and space, which allows for decisions to be made nearly in real time. This paper can provide spatial decision-making support for emergency material relief in large-scale earthquake disasters. |
topic |
emergency dispatching and routing multi-objective dynamic constraints network flow spatial decision support |
url |
http://www.mdpi.com/2220-9964/6/5/142 |
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