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Dissecting the Role of Transit Service Attributes in Attracting Commuters: Lessons from a Comprehensive RP-SP Study on Commuting Mode Switching Behaviour in Toronto

机译:剖析公交服务属性在吸引通勤者中的作用:全面的RP-SP研究中有关多伦多通勤模式转换行为的经验教训

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This paper presents an investigation on the influence of transit service attributes onmode switching towards local transit for home-based commuting trips. Theinvestigation involves the design, implementation, and analysis of a COmmutingSurvey for MOde Shift (COSMOS). COSMOS exploits Revealed Preference (RP)mode choice information to build the Stated Preference (SP) mode switchingexperiments. The collected dataset is used for estimating econometric choice modelsof mode switching towards transit. Separate models are estimated for car drivers andshared ride users. The empirical models show that travel cost and in-vehicle traveltime are of lower importance compared to other transit Level of Service (LOS)attributes such as crowding level and number of transfers. It is also evident thatcommuters prefer rail-based transit modes (e.g. subway, and LRT) to other transitoptions (e.g. BRT). The developed models can enrich the transit service planningtoolbox for delivering more efficient and attractive services that maximize transitridership along with other objectives.
机译:本文对中转服务属性对以下方面的影响进行了调查 模式转换为本地通勤行程的本地交通。这 调查涉及COmmuting的设计,实施和分析 模位移调查(COSMOS)。 COSMOS利用显示偏好(RP) 模式选择信息以建立状态首选项(SP)模式切换 实验。收集的数据集用于估计计量经济选择模型 模式切换到过渡。估计有不同型号的汽车驾驶员和 共享的乘车用户。实证模型表明,出行成本和车内出行 与其他过境服务水平(LOS)相比,时间的重要性较低 属性,例如拥挤程度和转乘次数。也很明显 通勤者更喜欢基于铁路的公交方式(例如地铁和轻轨) 选项(例如BRT)。开发的模型可以丰富运输服务计划 工具箱,用于提供更高效,更具吸引力的服务,从而最大程度地提高运输效率 客运以及其他目标。

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