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Traveler responses to real-time transit passenger information systems.

机译：旅客对实时过境旅客信息系统的响应。

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摘要

In recent years, a considerable amount of money has been spent on Real-time Transit Passenger Information Systems (RTPISs), which provide timely and accurate transit information to current and potential riders to enable them to make better pretrip and en-route decisions. Understanding traveler responses to real-time transit information is critical for designing such services and evaluating their effectiveness. To answer this question, an effort is made in this dissertation to systematically conceptualize a variety of behavioral and psychological responses travelers may undertake to real-time transit information and empirically examine the causal effects of real-time information on traveler behavior and psychology.;This research takes ShuttleTrac, a newly implemented real-time bus arrival information system for UMD's Shuttle-UM service, as a case for empirical study. In Part 1 analysis, using panel datasets derived from three-waved online campus transportation surveys, fixed-effects OLS models and random-effects ordered probit models are estimated to sort out causal relations between ShuttleTrac information use and general/cumulative behavioral and psychological outcomes. In addition, a twostage instrumental variable model was estimated to examine the potential change in habitual mode choices due to real-time transit information use. The results show that with a few months of adjustment, travelers may increase their trip-making frequency as a result of real-time transit information use, and positive psychological outcomes are more prominent in both short and longer terms.;In Part 2 analyses, using the cross-sectional dataset derived from the onboard survey, OLS models and ordered logit models were estimated to examine the tripspecific psychological effects of real-time transit information. The results show that these trip-specific psychological effects of real-time transit information do exist in expected directions and they vary among user groups and in different scenarios. A finding consistent across two parts of analyses is that accuracy of information plays a greater role in determining traveler behavior and psychology than the mere presence.;This research contributes to the general discussion on traveler behavior under advanced information by (1) developing an integrative conceptual framework; and (2) providing useful insights into the issue with much empirical evidences obtained with revealed-preference data and sophisticated modeling techniques.
机译：近年来，在实时过境旅客信息系统（RTPIS）上已经花费了大量资金，该系统为当前和潜在的乘客提供及时，准确的过境信息，以使他们能够做出更好的出行和途中决策。了解旅行者对实时过境信息的反应对于设计此类服务并评估其有效性至关重要。为了回答这个问题，本论文试图系统地概念化旅行者可能对实时过境信息采取的各种行为和心理反应，并从经验上检验实时信息对旅行者行为和心理的因果关系。研究以ShuttleTrac（一种新实施的，用于UMD的Shuttle-UM服务的实时公交车到站信息系统）作为经验研究的案例。在第1部分中，使用从三波在线校园交通调查中得出的面板数据集，估算固定效应OLS模型和随机效应有序概率模型来梳理ShuttleTrac信息使用与一般/累积性行为与心理结果之间的因果关系。此外，估计了一个两阶段的工具变量模型，以检查由于实时交通信息的使用而导致习惯模式选择的潜在变化。结果表明，经过几个月的调整，旅行者可能会因为使用实时公交信息而增加旅行的频率，并且无论短期还是长期，积极的心理影响都更加明显。;在第二部分中，使用从机载调查得出的横截面数据集，对OLS模型和有序logit模型进行了估计，以检查实时过境信息的出行特定心理影响。结果表明，实时交通信息的这些特定于旅行的心理影响确实存在于预期的方向，并且它们在用户组和不同情况下有所不同。分析的两个部分一致的发现是，信息准确性在确定旅行者行为和心理方面比仅仅在场上发挥更大的作用;该研究通过（1）提出一个综合的概念，为高级信息下旅行者行为的一般讨论做出了贡献框架（2）利用揭示偏好数据和复杂建模技术获得的大量经验证据，对该问题提供有用的见解。

著录项

  • 作者

    Zhang, Feng.;

  • 作者单位

    University of Maryland, College Park.;

  • 授予单位 University of Maryland, College Park.;
  • 学科 Transportation.;Urban and Regional Planning.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 204 p.
  • 总页数 204
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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