Abstract
The reliability of rescue routes is critical for urban emergency logistics during disasters. However, studies on reliable rescue routing under stochastic networks are still rare. This paper proposes a multiobjective rescue routing model for urban emergency logistics under travel time reliability. A hybrid metaheuristic integrating ant colony optimization (ACO) and tabu search (TS) was designed to solve the model. An experiment optimizing rescue routing plans under a real urban storm event, was carried out to validate the proposed model. The experimental results showed how our approach can improve rescue efficiency with high travel time reliability.
Highlights
Cities are becoming increasingly vulnerable to all kinds of hazards or events, such as floods and earthquakes, because of the unpredictable impacts of global climate changes
In view of the above, this study aims to propose a multiobjective rescue routing (MORR) model, which considers travel time uncertainty for scenarios in which multiple rescue vehicles are dispatched to multiple destinations
Since road travel times within an urban road network are highly stochastic, the transportation network in this study is defined as a directed stochastic graph G(N, A), where N is the set of road nodes and A is the set of road links connecting two nodes
Summary
Cities are becoming increasingly vulnerable to all kinds of hazards or events, such as floods and earthquakes, because of the unpredictable impacts of global climate changes. The problem to be addressed in this research is rescue vehicle routing with stochastic link travel times. The complex nature of emergencies, as well as the lack of knowledge of data (e.g., demand, supply, or cost) in such situations, imply uncertainties in rescue vehicle route optimization. In view of the above, this study aims to propose a multiobjective rescue routing (MORR) model, which considers travel time uncertainty for scenarios in which multiple rescue vehicles are dispatched to multiple destinations. An experiment on optimizing rescue routing plans for an urban storm flooding disaster will be carried out to validate the proposed model. The final section provides concluding remarks and future research directions
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
