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A dynamic analysis of travel demand
Institution:1. LEND, Faculty of Science and Technology, Med Seddik Ben yahia University, 18000 Jijel, Algeria;2. LIME, Faculty of Science and Technology, Med Seddik Ben yahia University, 18000 Jijel, Algeria;3. L2EI, Faculty of Science and Technology, Med Seddik Ben yahia University, 18000 Jijel, Algeria;4. Department of Physics, Faculty of Arts and Sciences, AIB University, 14280 Bolu, Turkey;1. Department of Chemistry, School of Science, Alzahra University, Vanak, Tehran, Iran;2. Iran Polymer and Petrochemical Institute, Tehran, Iran;1. Deptartment of CSE, National Institute of Technology, Rourkela, India;2. Atilim University, Ankara, Turkey;1. Institute of Advanced Energy Materials and Chemistry, School of Chemistry and Pharmaceutical Engineering, Qilu University of Technology, Jinan 250353, People''s Republic of China;2. NanoScience Technology Center, Department of Materials Science and Engineering, University of Central Florida, Orlando, FL 32826, USA;1. Technical University of Denmark, Department of Management Engineering, Bygningstorvet 116V, 2800 Lyngby, Denmark;2. German Aerospace Center, Institute of Transport Research, Rutherfordstrasse 2, 12489 Berlin, Germany;3. COWI A/S, Parallelvej 2, 2800 Kongens Lyngby, Denmark
Abstract:A panel data set is analysed with the goal of identifying patterns of change in the use of various modes of transport. The data set, which represents a national sample of the Netherlands, is comprised of over 2000 individuals surveyed in three waves six months apart in 1984 and 1985. The data were processed in the form of categorical variables depicting use or non-use of each mode at each wave and were analysed using log-linear models. Results indicated that there were significant patterns of change for all of the modes studied. Some of these patterns were interpreted as representing seasonality, while others were interpreted as representing more fundamental adjustments in travel behavior.
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