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首页> 外文期刊>Procedia Computer Science >Modeling intermodal travel behavior in an agent-based travel demand model
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Modeling intermodal travel behavior in an agent-based travel demand model

机译：基于代理的旅行需求模型建模多式联行为行为

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The topic of intermodal passenger mobility has become more important during the last 20 years. As mobility options increase in number and flexibility, it gets more and more attractive to combine multiple modes on single trips. In addition, intermodal travel behavior is expected to contribute to less car dependent mobility and transport sector’s reduction of greenhouse gas emissions. Creating and improving the conditions for such a behavior requires planning with knowledge about influencing factors and highest resistances. Empirical evidence and behavioral models can support decisions on measures improving intermodal travel supply. This work presents an agent-based model approach containing intermodal travel behavior with regard to its most important decisions. It enables the combination of a multitude of modes and can be extended to even more modes. By combining many decisions and influences it is comprehensible and adaptable to different surveys and circumstances. We show that results are realistic and impacts are valid to be able to forecast effects of potential measures.
机译：在过去的20年里，多式联运乘客移动性的主题变得更加重要。随着移动期权的数量和灵活性增加，它会越来越有吸引力，在单程旅行时结合多种模式。此外，预计多式联运行为将有助于较少的汽车依赖流动性和运输部门的温室气体排放减少。创造和改善这种行为的条件需要规划关于影响因素和最高电阻的知识。实证证据和行为模型可以支持改善多式联运旅行供应的措施的决策。这项工作提出了一种基于代理的模型方法，其包含关于其最重要的决定的多式联路行为行为。它能够组合多种模式，并且可以扩展到更多模式。通过结合许多决策和影响，可以理解和适应不同的调查和情况。我们表明，结果是现实的，并且能够预测潜在措施的影响是有效的。

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