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Article: Passenger's Trip-specific Psychological Responses to Real-time Bus Arrival Information

TitlePassenger's Trip-specific Psychological Responses to Real-time Bus Arrival Information
Authors
Issue Date2011
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/trf
Citation
Transportation Research Part F: Traffic Psychology and Behaviour, 2011 How to Cite?
AbstractIn 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 pre-trip 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 two-stage 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 trip-specific 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.
DescriptionThis paper is originally a doctoral dissertation. University of Maryland, College Park, Maryland. Zhang, Feng. (2010). “Traveler Responses to Real-Time Transit Passenger Information Systems.” Fulltext link: http://hdl.handle.net/1903/11168
Persistent Identifierhttp://hdl.handle.net/10722/136310
ISSN
2015 Impact Factor: 1.444
2015 SCImago Journal Rankings: 0.929

 

DC FieldValueLanguage
dc.contributor.authorZhang, F-
dc.date.accessioned2011-07-27T02:13:03Z-
dc.date.available2011-07-27T02:13:03Z-
dc.date.issued2011-
dc.identifier.citationTransportation Research Part F: Traffic Psychology and Behaviour, 2011-
dc.identifier.issn1369-8478-
dc.identifier.urihttp://hdl.handle.net/10722/136310-
dc.descriptionThis paper is originally a doctoral dissertation. University of Maryland, College Park, Maryland. Zhang, Feng. (2010). “Traveler Responses to Real-Time Transit Passenger Information Systems.” Fulltext link: http://hdl.handle.net/1903/11168-
dc.description.abstractIn 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 pre-trip 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 two-stage 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 trip-specific 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.-
dc.languageeng-
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/trf-
dc.relation.ispartofTransportation Research Part F: Traffic Psychology and Behaviour-
dc.rightsNOTICE: this is the author’s version of a work that was accepted for publication in [Journal title]. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in PUBLICATION, [VOL#, ISSUE#, (DATE)] DOI#-
dc.titlePassenger's Trip-specific Psychological Responses to Real-time Bus Arrival Information-
dc.typeArticle-
dc.identifier.emailZhang, F: fzhang78@hku.hk-
dc.identifier.authorityZhang, F=rp01037-
dc.identifier.hkuros186904-
dc.publisher.placeUnited Kingdom-

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