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Exploring the effectiveness of bus rapid transit a prototype agent-based model of commuting behavior

机译:探索快速公交的有效性基于原型智能体的通勤行为模型

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The introduction of Bus Rapid Transit (BRT), typically involving the use of exclusive bus lanes and related bus priority measures, is increasingly advocated as a flexible and cost-effective way of improving the attractiveness of public transit in congested urban areas by reducing travel times and variability. These schemes typically involve the reallocation of road space for exclusive use by buses, presenting commuters with potentially competing incentives: buses on BRT routes can run faster and more efficiently than buses running in general traffic, potentially attracting commuters to public transit and reducing congestion through modal shift from cars. However, a secondary impact may also exist; remaining car users may be presented with less congested road space, improving their journey times and simultaneously acting as an incentive for some bus-users to revert to the car. To investigate the potential for these primary and secondary impacts, we develop a prototype agent-based model to investigate the nature of these interactions and how they play out into system-wide patterns of modal share and travel times. The model allows us to test the effects of multiple assumptions about the behaviors of individual agents as they respond to different incentives introduced by BRT policy changes, such as the implementation of exclusive bus lanes, increased bus frequency, pre-boarding ticket machines and express stops, separately and together. We find that, under our assumptions, these policies can result in significant improvements in terms of individual journey times, modal shift, and length of rush hour. We see that the addition of an exclusive bus lane results in significant improvements for both car users and bus riders. Informed with appropriate empirical data relating to the behavior of individual agents, the geography and the specific policy interventions, the model has the potential to aid policymakers in examining the effectiveness of different BRT schemes, applied to broader environments.
机译:越来越多地倡导采用快速公交(BRT)的方式,这种方式通常涉及使用专用公交专用道和相关的公交优先措施,是一种灵活且经济高效的方式,可通过减少出行时间来提高拥挤城市地区公共交通的吸引力和可变性。这些计划通常涉及重新分配道路空间以供公共汽车专用,从而为通勤者提供潜在的竞争激励:BRT路线上的公共汽车可以比普通交通中的公共汽车运行得更快,更高效,有可能吸引通勤者乘坐公共交通,并通过交通方式减少拥堵从汽车转移。但是,也可能存在次要影响。其余的汽车使用者可能会遇到拥挤的道路空间,从而改善了他们的出行时间,同时也激励了一些公交车使用者恢复使用汽车。为了研究这些主要和次要影响的潜力,我们开发了一个基于代理的原型模型,以研究这些交互的性质以及它们如何在系统范围的模式共享和旅行时间中发挥作用。通过该模型,我们可以测试有关多个个体假设的行为的影响,这些个体行为会因BRT政策更改而引入不同的激励措施,例如实施专用公交专用道,增加公交车频率,登机前售票机和特快车站,分别和一起。我们发现,在我们的假设下,这些政策可以在个人出行时间,模态转换和高峰时间方面带来显着改善。我们看到,增加专用的公交专用道可以为汽车使用者和公交车乘客带来显着改善。借助与个体行为,地域和特定政策干预有关的适当经验数据,该模型有潜力帮助决策者研究适用于更广泛环境的不同BRT计划的有效性。

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