2026-09-19T06:49:58Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/828532026-06-06T01:06:33Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Moshe E. Ben-Akiva and Tomer Toledo.
Sun, Yichen, S.M. Massachusetts Institute of Technology
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering.
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
2013-12-06T20:49:26Z
2013-12-06T20:49:26Z
2013
http://hdl.handle.net/1721.1/82853
863416371
Thesis (S.M. in Transportation)--Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2013.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 124-131).
This research studies the decision-making process and the factors that affect truck routing. The data collection involved intercept interviews with truck drivers at three rest area and truck stops along major highways in North America. The computerized survey solicited information on truck routing decisions, the identity of the decision-makers, the factors that affect routing and sources of information consulted in making these decisions. Stated Preferences (SP) experiments were conducted, where drivers' choice behaviour between two hypothetical scenarios were observed and modeled. 252 drivers completed the survey, yielding 1121 valid SP observations. This data was used to study the identity of routing decision makers for various driver segments and the sources of information used both in pre-trip planning and en-route. A random effects logit model was estimated using the SP data. The results show that there are significant differences in the route choice decision-making process among various driver segments, and that these decisions are affected by multiple factors beyond travel time and cost. These factors include shipping and driver employment terms, such as the method of calculation of pay and bearing of fuel costs and tolls.
by Yichen Sun.
S.M. in Transportation
131 pages
eng
Massachusetts Institute of Technology
M.I.T. theses are protected by
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http://dspace.mit.edu/handle/1721.1/7582
Civil and Environmental Engineering.
Decision making process and factors routing
Thesis
application/pdf
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Publication
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<Abstract>This research studies the decision-making process and the factors that affect truck routing. The data collection involved intercept interviews with truck drivers at three rest area and truck stops along major highways in North America. The computerized survey solicited information on truck routing decisions, the identity of the decision-makers, the factors that affect routing and sources of information consulted in making these decisions. Stated Preferences (SP) experiments were conducted, where drivers' choice behaviour between two hypothetical scenarios were observed and modeled. 252 drivers completed the survey, yielding 1121 valid SP observations. This data was used to study the identity of routing decision makers for various driver segments and the sources of information used both in pre-trip planning and en-route. A random effects logit model was estimated using the SP data. The results show that there are significant differences in the route choice decision-making process among various driver segments, and that these decisions are affected by multiple factors beyond travel time and cost. These factors include shipping and driver employment terms, such as the method of calculation of pay and bearing of fuel costs and tolls.</Abstract>
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