Abstract
 Disaggregated Travel Forecasting Track: Transportation Author(s): Changjoo Kim, Sunhee Sang GIS-T has become an essential tool for transportation planning and travel forecasting. In this study, a disaggregated travel forecasting model is used to predict journey to work changes in regional development, demographics, and transportation supply. The Census Transportation Planning Package summarizes information by place of residence, by place of work, and for worker flows between home and work. However, its spatial unit is too broad to be used in transportation planning. Thus, travel models with aggregated data often mislead the transportation planning. Twin Cities Metro Area is selected as a study region. There are 689 census tracts in Twin Cities Metro Area while 42,189 census blocks as of year 2000 are available. The results show that disaggregated GIS-based approach to transportation modeling is a fundamental means of improving travel forecasting. Keywords: GIS, CTPP, transportation, aggregated, disaggregated Changjoo Kim Minnesota State University Geography 7 Armstrong Hall Mankato , MN 56001 US Phone: 507-389-1324 Fax: 507-389-2980 E-mail: changjoo.kim@mnsu.edu Sunhee Sang The Ohio State University Geography 212 Falcon Dr. Mankato , MN 56001 US Phone: 614-657-2299 E-mail: sunheesang@hotmail.com |
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