Using structural equations modeling to unravel the influence of land use patterns on travel behavior of workers in Montreal
This paper addresses the relations between travel behavior and land use patterns using a Structural Equations Modeling (SEM) framework. The proposed model structure draws on two earlier models developed for Lisbon and Seattle which show significant effects of land use patterns on travel behavior. The travel behavior variables included here are multifaceted including commuting distance, car ownership, the amount of mobility by mode (car, transit and non-motorized modes), both in terms of total kilometers travelled and number of trips. The model also includes a travel scheduling variable, which is the total time spent between the first and last trips to reflect daily constraints in time allocation and travel.
Volume (Year): 46 (2012)
Issue (Month): 8 ()
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- Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
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- Giuliano, Genevieve, 1989. "New Directions for Understanding Transportation and Land Use," University of California Transportation Center, Working Papers qt72f0362d, University of California Transportation Center.
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