Bicycle ownership use and exposure: Participation and activity patterns in Melbourne,Australia |
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| Affiliation: | 1. Department of Mathematics & Statistics, Riphah International University Islamabad, Pakistan;2. Department of Mathematics, Quaid-I-Azam University, Islamabad 44000, Pakistan;1. Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, Ghent B-9000, Belgium;2. Department of Movement and Sport Sciences, Faculty of Physical Education and Physical Therapy, Vrije Universiteit Brussel, Brussels B-1050, Belgium;3. Fund for Scientific Research Flanders (FWO), Brussels B-1000, Belgium;4. Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent B-9000, Belgium;5. Human Physiology Research Group, Faculty of Physical Education and Physical Therapy, Vrije Universiteit Brussel, Pleinlaan 2, Brussels B-1050, Belgium;6. Ohio State University, City and Regional Planning, Columbus, OH 43210, USA;1. Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, Corneel Heymanslaan 10, B-9000 Ghent, Belgium;2. Physical Activity, Nutrition and Health Research Unit, Faculty of Physical Education and Physical Therapy, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium;3. Research Foundation - Flanders (FWO), Egmontstraat 5, B-1000 Brussels, Belgium;4. Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, B-9000 Ghent, Belgium |
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| Abstract: | The users of bicycles are usually assumed to be children. The data collected in transportation studies is, therefore, of great value as it is sufficiently extensive to be used for a broader analysis of this question than would ever be possible in a special bicycle survey. Most bicycle surveys are aimed closely at schools, so that the concentrated traffic known to move to and from schools can be used to pinpoint other origins and destinations of these journeys. This paper reports a systematic analysis of bicycle access, usage and exposure for households of different compositions and people of different ages, based on transport survey home interview data for Melbourne (Australia) in 1978. Time profiles of involvement in cycling and other modes are presented for Melbourne, and comparisons are drawn with similar results from Adelaide. A key feature of this analysis is the decomposition of “trip rates” into participation rates and the corresponding activity rates (i.e. trips) of those who participate at all in the specified mode or activity. This technique is shown to have considerable potential. |
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