Abstract
Emergency evacuation plays a critical role in mitigating the impact from approaching disasters. However, it is possible that the existing transportation infrastructure could not provide sufficient roadway capacity to meet the evacuation demand during the evacuation process. To deal with the possible traffic congestion in emergency evacuation, the transportation sector should design appropriate evacuation plans with the goal to expedite the efficiency of evacuation. The importance of shelter locations has been pointed out in several researches. The evacuation trip distribution problem should be discussed when evaluate the locations of potential shelters. This research proposes a bi-level programming model to combine the shelter location problem and the evacuation trip distribution problem. From the result of numerical experiments, this bi-level model is applicable for pre-planning phase for the authority to make well-rounded plans.
| Original language | English |
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| Title of host publication | Proceedings of the 17th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2012 |
| Subtitle of host publication | Transportation and Logistics Management |
| Pages | 487-494 |
| Number of pages | 8 |
| Publication status | Published - 2012 |
| Event | 17th International Conference of Hong Kong Society for Transportation Studies: Transportation and Logistics Management, HKSTS 2012 - Kowloon, Hong Kong Duration: 2012 Dec 15 → 2012 Dec 17 |
Publication series
| Name | Proceedings of the 17th International Conference of Hong Kong Society for Transportation Studies, HKSTS 2012: Transportation and Logistics Management |
|---|
Other
| Other | 17th International Conference of Hong Kong Society for Transportation Studies: Transportation and Logistics Management, HKSTS 2012 |
|---|---|
| Country/Territory | Hong Kong |
| City | Kowloon |
| Period | 12-12-15 → 12-12-17 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
All Science Journal Classification (ASJC) codes
- Transportation
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