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Comparisons of a Multi-Objective Compromise Weight Model and a Multi-Objective Evolutionary Algorithm in Hazmat Transportation Route Planning
Transportation Research Record: Journal of the Transportation Research Board ( IF 1.7 ) Pub Date : 2020-11-18 , DOI: 10.1177/0361198120965235
Ta-Yin Hu, Yu-Cheng Hsu, Tsai-Yun Liao

On July 31, 2014, a series of gas pipeline explosions occurred in Kaohsiung City, causing 32 deaths and 321 injuries. Following this accident, the Kaohsiung City government decided to replace the use of pipelines with trucks for transporting hazmat, transfering the risk from beneath the road to the surface. This means that careful consideration needs to be given to safety and cost in hazardous material (hazmat) transportation route planning. The issue of how to design optimal routes for the transportation of hazmat is, therefore, important and involves consideration of various criteria. This research focuses on three objectives: cost, risk, and emergency response capability. It then constructs two solution algorithms, the compromise weight model and the evolutionary algorithm, to solve the multi-objective problem. The results from these two algorithms are observed and compared. In addition, this research also provides some recommendations for stakeholders, including the hazmat industry, government, and residents.



中文翻译:

危险品运输路线规划中多目标折衷权重模型与多目标进化算法的比较

2014年7月31日,高雄市发生了一系列天然气管道爆炸,造成32人死亡和321人受伤。事故发生后,高雄市政府决定用卡车代替运输危险品的卡车,将危险从道路下方转移到地面。这意味着在危险材料(危险品)运输路线规划中需要仔细考虑安全性和成本。因此,如何设计运输危险品的最佳路线的问题很重要,并涉及各种标准的考虑。这项研究的重点是三个目标:成本,风险和应急能力。然后构造两种求解算法,折衷权重模型和进化算法,以解决多目标问题。观察并比较了这两种算法的结果。此外,这项研究还为利益相关者提供了一些建议,包括危险品行业,政府和居民。

更新日期:2020-11-19
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