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First published online September 24, 2018

Measuring the Impact of Motivations on Travelers’ Strategic Decisions in Different Traffic Conditions: Data Collection, Analysis, and Modeling

Abstract

Continued growth in travel demand and the corresponding congestion occurrence accentuates the need for active transportation and demand management (ATDM) for predictive rather than reactive congestion mitigation strategies. These strategies (applications) reduce demand and thus improve the performance of different surface transportation facilities. Earlier research work mainly utilized simulations and field experiments to suggest improvements to ATDM applications associated with pricing and/or provision of information to travelers; however, few such studies considered the dynamics of travelers’ motivations as an essential component in the performance of a given ATDM application. In other words, how travelers’ motivations change as a function of the ATDM applications’ characteristics remains largely unexplored. This study thus examines the theory of planned behavior (TPB) to analyze travelers’ motivations associated with different mode choices and captures and measures the corresponding dynamics of motivations when facing different surrounding circumstances and ATDM regimes. Utilizing a survey and an online data collection platform to estimate motivational patterns behind travelers’ mode choices, following and extending the TPB paradigm, the study concludes that: (a) travelers’ mode choices are primarily determined by intentions (motivations); (b) income and age are two additional characteristics that influence mode choices; (c) travelers’ reasoned choices are mainly attitude-oriented; and (d) different attitudinal aspects are accentuated or compromised along with the changes of travel conditions and ATDM applications.

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Article first published online: September 24, 2018
Issue published: December 2018

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© National Academy of Sciences: Transportation Research Board 2018.
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Authors

Affiliations

Dong Pan
Department of Civil and Environmental Engineering, The George Washington University, Washington, DC
Samer H. Hamdar
Department of Civil and Environmental Engineering, The George Washington University, Washington, DC
John L. Campbell
Center for Human Performance and Safety, Battelle Memorial Institute, Seattle, WA
Amir Farrahi
Department of Civil and Environmental Engineering, The George Washington University, Washington, DC

Notes

Address correspondence to Dong Pan: [email protected]

Author Contributions

The authors confirm contribution to the paper as follows: study conception and design: Samer H. Hamdar, John Campbell; data collection: Dong Pan, Amir Farrahi; analysis and interpretation of results: Dong Pan, Samer H. Hamdar; draft manuscript preparation: Dong Pan, Samer H. Hamdar, John Campbell. All authors reviewed the results and approved the final version of the manuscript.

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