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Characteristics of premium transit services that affect mode choice TCRP H-37 summary of phase

机译：影响模式选择的优质中转服务的特征TCRP H-37阶段摘要

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摘要

This research seeks to improve the understanding of the full range of determinants for mode choice behavior and to offer practical solutions to practitioners on representing and distinguishing these characteristics in travel demand forecasting models. The principal findings were that the representation of awareness of transit services is significantly different than the underlying assumption of mode choice and forecasting models that there is perfect awareness and consideration of all modes. Furthermore, inclusion of non-traditional transit attributes and attitudes can improve mode choice models and reduce bias constants. Additional methods and analyses are necessary to bring these results into practice. The work is being conducted in two phases. This paper documents the results of Phase I, which included data collection for one case study city (Salt Lake City), research and analysis of non-traditional transit attributes in mode choicemodels, awareness of transit services, and recommendations for bringing these analyses into practice. Phase II will include data collection for two additional case study cities (Chicago and Charlotte) with minor modifications based on limitations identified in Phase I, additional analyses where Phase I results indicated a need, and a demonstration of the research in practice for at least one case study city.
机译：这项研究旨在增进人们对模式选择行为决定因素的全面了解，并为从业者在旅行需求预测模型中表示和区分这些特征提供实用的解决方案。主要发现是，对公交服务意识的表示方式与对模式选择和预测模型的基本假设（即对所有模式都具有完美的意识和考虑）的假设存在显着差异。此外，包含非传统的运输属性和态度可以改善模式选择模型并减少偏差常数。要使这些结果付诸实践，还需要其他方法和分析。该工作分两个阶段进行。本文记录了第一阶段的结果，包括一个案例研究城市（盐湖城）的数据收集，模式选择模型中非传统过境属性的研究和分析，对过境服务的认识以及将这些分析付诸实践的建议。第二阶段将包括另外两个案例研究城市（芝加哥和夏洛特）的数据收集，并根据第一阶段中确定的局限性进行了少量修改；在第一阶段的结果表明有需要的情况下进行了额外的分析；并对至少一个案例进行了实践研究案例研究城市。

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