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The effect of crowding on public transit user travel behavior in a large-scale public transportation system through modeling daily variations

机译：通过每日变化建模，拥挤对大型公共交通系统中公共交通用户出行行为的影响

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摘要

In this paper, the crowding effect in a transit vehicle is modeled in a time-expanded network that considers the daily variation in passenger flows. The study models the daily variation of in-vehicle crowding in a real large-scale transit system. A transit assignment for this real network is modeled and implemented by constructing a crowding cost function that follows the valuation of crowding and by using the reliable shortest path finding method. The direct application of the crowding model to a real network for the Utah Transit Authority indicates that crowd modeling with multi-user classes could influence public transportation system planning and affect the revenues of transit agencies. Moreover, the addition of the disutility factor, crowding, does not always appear to cause an increase in disutility for transit users.
机译：在本文中，在考虑乘客流量每日变化的时间扩展网络中对公交车辆的拥挤效应进行建模。该研究模拟了实际大规模公交系统中车辆拥挤的每日变化。通过构建遵循拥挤评估的拥挤成本函数并使用可靠的最短路径查找方法，可以建模和实现此实际网络的运输分配。将拥挤模型直接应用于犹他州运输管理局的真实网络表明，具有多用户类别的人群模型可能会影响公共交通系统的规划并影响运输机构的收入。此外，增加浪费等实用因素并不一定总会导致过境用户的实用性增加。

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