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dc.contributor.authorRashidi, Taha Hossein
dc.contributor.authorMohammadian, Abolfazl
dc.date.accessioned2012-08-20T04:01:25Z
dc.date.available2012-08-20T04:01:25Z
dc.date.issued2011-06-29
dc.identifier.bibliographicCitationRashidi, T. H. & Mohammadian, A. A dynamic hazard-based system of equations of vehicle ownership with endogenous long-term decision factors incorporating group decision making. Journal of Transport Geography, 19(6):1072–1080. 2011. DOI: 10.1016/j.jtrangeo.2011.05.001.en
dc.identifier.issn0966-6923
dc.identifier.otherDOI: 10.1016/j.jtrangeo.2011.05.001
dc.identifier.urihttp://hdl.handle.net/10027/8571
dc.descriptionNOTICE: this is the author’s version of a work that was accepted for publication in Journal of Transport Geography. 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 Journal of Transport Geography, [June 29, 2011] DOI: 10.1016/j.jtrangeo.2011.05.001. The original publication is available at www.elsevier.com.en
dc.description.abstractThe transportation system affects all aspects of our daily lives including relatively long-term decisions on work and home location choice and automobile ownership decisions. The interdependency existing among these three decisions jointly influences household mobility and overall travel patterns. Therefore, a dynamic modeling framework that can account for the effects of interdependencies between vehicle transaction behavior and residential and job location choices is highly desirable. These decisions are made in the household level while individuals’ decisions influence the overall outcome; therefore, it is also important to incorporate a group decision making process within such modeling frameworks. This study introduces a dynamic model for vehicle ownership, residential mobility, and employment relocation timing decisions. These decisions are modeled at the individual level and then sequentially aggregated to the household level if it is required. A hazard-based system of equations is formulated and applied in which work location and residential location changes are included as endogenous variables in the vehicle transaction model while other important factors such as land-use and built environment variables, household dynamics, and individuals’ socio-demographics are also considered.en
dc.language.isoen_USen
dc.publisherElsevieren
dc.subjectvehicleen
dc.subjectdecision makingen
dc.titleA dynamic hazard-based system of equations of vehicle ownership with endogenous long-term decision factors incorporating group decision makingen
dc.typeArticleen


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