Designing Multimodal Freight Transport Networks: A Heuristic Approach and Applications
Designing Multimodal Freight Transport Networks: A Heuristic Approach and Applications
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DOI：
10.1287/trsc.1080.0250
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发表时间：
2009-05
期刊：
影响因子：
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通讯作者：
Tadashi Yamada;Bona Frazila Russ;J. Castro;E. Taniguchi
中科院分区：
文献类型：
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作者：
Tadashi Yamada;Bona Frazila Russ;J. Castro;E. Taniguchi
设计多式联运货运网络可以促进地区和国家的经济发展，并有助于减少对环境的负面影响。因此，在以公路为基础的货物运输系统更为优先的地区进行这种工作是至关重要的。本文提出了一个战略运输规划模型，特别是在货运站发展和区域间货运网络设计方面。该模型从许多可能的行动中确定一组合适的行动，例如改善现有的基础设施或建立新的公路、铁路、海运和货运码头。建模是在双层规划的框架内进行的，其中在低层问题中纳入了多模式多类别用户交通分配技术，而上层问题确定了最佳的行动组合，从而使运费相关的收益-成本比最大化。上层问题涉及组合优化，并采用基于遗传局部搜索的启发式方法作为求解技术。将该模型应用于大型区域间联运货运网络的实证结果表明，与其他基于遗传算法和禁忌搜索的启发式算法相比，遗传局部搜索能提供更好的性能。该模型成功地应用于菲律宾的运输网络规划，在菲律宾，货运网络的发展是必要的，以增加其他模式的利用率，而不是基于道路的车辆。
Designing multimodal freight transport networks can facilitate the economic development of regions and countries as well as help to reduce negative environmental impacts. It is therefore crucial that such be undertaken in areas where more priority is given on road-based freight transport systems. This paper proposes a model for strategic transport planning, particularly in freight terminal development and interregional freight transport network design. The model determines a suitable set of actions from a number of possible actions, such as improving the existing infrastructure or establishing new roads, railways, sea links, and freight terminals. Modelling is undertaken within the framework of bilevel programming, where a multimodal multiclass user traffic assignment technique is incorporated within the lower-level problem, whilst the upper-level problem determines the best combination of actions such that the freight-related benefit-cost ratio is maximised. The upper-level problem involves combinatorial optimisation, and a heuristic approach based on genetic local search is applied as a solution technique. Empirical results of the model as applied to an actual large-sized interregional intermodal freight transport network show that genetic local search could provide better performance as compared to other genetic algorithm-based, as well as tabu search-based, heuristics. The model is successfully applied to transport network planning in the Philippines, where the development of a freight transport network is necessary to increase the utilisation of other modes rather than road-based vehicles.