Assessment of spatial transferability of an activity-based model,TASHA |
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| Affiliation: | 1. Department of Civil, Geological and Mining Engineering, Polytechnique Montreal, C.P. 6079, Station Centre-Ville, Montreal, Quebec H3C 3A7, Canada;2. Department of Civil Engineering, University of Toronto, 35 St. George Street, Toronto, Ontario M5S 1A4, Canada;1. Department of Entomology and Plant Pathology, University of Tennessee, 2505 E. J. Chapman Drive, Knoxville, TN, 37996, United States;2. Department of Ecology and Evolutionary Biology, University of Tennessee, 569 Dabney Hall Knoxville, TN 37996, United States;3. National Institute for Mathematical and Biological Synthesis, 1122 Volunteer Boulevard, University of Tennessee, Knoxville, TN 37996, United States;4. Department of Geography, University of Tennessee, Burchfiel Geography Bldg. 1000 Phillip Fulmer Way, Knoxville, TN 37996, United States;5. Department of Agriculture, Nutrition and Veterinary Sciences, University of Nevada, Reno, 1664 North Virginia Street, Reno, NV 89557, United States;1. Physics and Engineering Department, Benedict College, 1600 Harden St., Columbia, SC 29204, USA;2. Math and Computer Science Department, Benedict College, 1600 Harden St., Columbia, SC 29204, USA;3. Civil and Environmental Engineering Department, Old Dominion University, 135 Kaufman Hall, Norfolk, VA 23529, USA;1. Nexant Inc., 1015 18th St. NW, Suite 801, Washington, D.C. 20005, United States;2. Environmental Science and Policy, University of California, Davis, United States;3. School of Geographical Sciences and Urban Planning, Arizona State University, United States;4. Agricultural and Resource Economics, University of California, Davis, United States |
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| Abstract: | Spatial transferability has been recognized as a useful validation test for travel demand models. To date, however, transferability of activity-based models has not been frequently assessed. This paper assesses the spatial transferability of an activity-based model, TASHA (Travel Activity Scheduler for Household Agents), which has been developed for the Greater Toronto Area (GTA), Canada. TASHA has been transferred to the context of the Island of Montreal, Canada using the 2003 Origin–Destination (O–D) travel survey and the 2001 Canadian Census. It generates daily schedules of activities (individual and joint) for each individual in this region. The modelled activity attributes (frequency, start time, duration and distance) from TASHA and observed attributes from the 2003 O–D travel survey are compared for five different activities (i.e. work, school, shopping, other, and return to home). At the aggregate level, TASHA provides quite reasonable outcomes (in some cases – better results than for the Toronto Area) for all four attributes for work, school and return to home activities with few exceptions (for instance, school start time). The model outcomes are also promising for shopping frequency and start times; however, TASHA provides larger differences for average shopping durations and distances. Only the forecasts for all four attributes for the ‘other’ activity type differ greatly with the observed attributes for the Montreal Island. These large differences most likely indicate the differences in behaviour between the Montreal Island and the Toronto Area. In general, we conclude that re-estimation of model parameters and the use of local activity attribute distributions (frequency, start time and duration) is a desirable step in the transfer of the TASHA model from one context to another. |
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| Keywords: | Spatial transferability Activity-based model Activity scheduling TASHA Montreal |
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