Statistical aspects of travel demand modelling |
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| Affiliation: | 1. Université Côte d’Azur, LAMHESS, Nice, France;2. Univ Savoie Mont Blanc, Laboratoire Interuniversitaire de Biologie de la Motricité, EA 7424, F-73000 Chambéry, France;3. National Institute of Fitness and Sports in Kanoya, Kanoya, Japan;4. Sports Performance Research Institute New Zealand (SPRINZ), Auckland University of Technology, Auckland, New Zealand;1. ISPED, INSERM U-1219, Univ. Bordeaux & INRIA, SISTM team, France;2. LMO, Univ. Paris-Sud Orsay & Univ. Paris Descartes, France;3. Université Côte d''Azur, CNRS, LJAD, France;4. MIAT, Université de Toulouse, INRA, France;1. Department of Preventive Medicine, University of Ulsan College of Medicine, Seoul, South Korea;2. Vital Statistics Division, Statistics Korea, Daejeon, South Korea;3. Department of Health Convergence, Ewha Womans University, Seoul, South Korea;1. Applied Sport Technology Exercise and Medicine Research Centre (A-STEM), College of Engineering, Swansea University, United Kingdom;2. Saracens RFC, United Kingdom;3. The Rugby Football Union, United Kingdom;4. School of Science and Technology, London Sports Institute, Middlesex University, United Kingdom;5. Welsh Institute of Performance Science, College of Engineering, Swansea University, United Kingdom;6. University of Canberra Research Institute for Sport and Health, University of Canberra, Australia;1. Applied Sports Technology, Exercise Medicine Research Centre (A-STEM), Swansea University, United Kingdom;2. School of Social and Health Sciences, Leeds Trinity University, United Kingdom;3. Swansea City Training Ground Fairwood, United Kingdom;4. Faculty of Life Sciences and Education, University of South Wales, United Kingdom;5. Welsh Institute of Performance Science, College of Engineering, Swansea University, United Kingdom;1. Institute of Sport – National Research Institute, Poland;2. Hamlyn Centre, Imperial College, UK;3. High Performance Specialist, UK;4. A-STEM, School of Engineering, Swansea University, UK;5. Welsh Institute of Performance Science (WIPS), Swansea University, UK;6. Millfield School, UK;7. University of New England, Australia;8. Research Institute for Sport and Exercise, University of Canberra, Australia |
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| Abstract: | This paper presents a review of statistical problems which in varying degrees of severity are common to the majority of models used in conventional analyses of travel demand, whether these are based on data defined for individual travellers or for groups of individuals. Illustration is given of the theoretical and practical problems of testing model goodness-of-fit and of model selection. Consideration is given to the special problem of spatial interaction models which incorporate a large number of parameters. The implications of poor model specification are discussed. Finally, recommendations are given for methods of validating models against data sets other than those used for estimation. |
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