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Trans. Planning Journal

Title Seismic Emergency Rehabilitation Scheduling for Rural Highways
Author Cheng-Min Feng, Tsai-Chu Wang
Summary   Most of the previous studies on disaster countermeasure focused on disaster prevention, such as the allocation/dispatching of medical resources, fire fighter and police forces in urban areas. Only a few studies provided better ways of emergency rehabilitation after disasters in non-urban areas. Since the objectives chosen in the previous studies were inappropriate for the construction of disaster rehabilitation, and their assumed rehabilitation constructions were constrained by the predefined duty areas, the proposed solutions’ performance has been affected significantly. The goals of seismic emergency rehabilitation in this study are to reduce the maximum number of suffered people and to repair the maximum kilometers of open roads. We surveyed workers of the Directorate General of Highways whose units have participated in Chi-Chi earthquake rehabilitation. Surveys are conducted to examine if there are differences between their preferred objectives and the issues concluded in the discussion after operation. The findings will be used to support the construction of scheduling models. The study has also defined different sets of possible factors affecting emergency rehabilitation time. Based on that, we have calculated and recommended a set of simple time adjustment parameters to expedite analysis. In the study, a simple disaster network was used for analysis. Then, an empirical case has been used to test the feasibility of the proposed algorithm. The performances of a traditional emergency rehabilitation scheduling method in 72 hours post-earthquake have been treated as a basic comparing group. The rehabilitation performances associated with the objective function proposed in the study under the scenario of duty zone system and non-duty zone system are measured. Finalty, the environment scenario collected from Nan-Tou County were used to verify the feasibility of the proposed scheduling model.
Vol. 34
No. 2
Page 177
Year 2005
Month 6
Count Views:465
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