Travel time and volume relationships in scheduled,fixed-route public transportation |
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| Affiliation: | 1. Department of Electrical & Information Engineering, Landmark University, Omu-Aran, Nigeria;2. Department of Electrical & Information Engineering, Covenant University, Ota, Nigeria;1. Department of Electrical & Computer Engineering, Southern Illinois University Carbondale, United States;2. Department of Mechanical Engineering and Energy Processes, Southern Illinois University Carbondale, United States;1. Biometris, Wageningen University and Research (WUR), P.O. Box 16, 6700 AA Wageningen, The Netherlands;2. Institute of Soil Research, University of Natural Resources and Life Sciences (BOKU), Peter-Jordan-Straße 82, 1190 Vienna, Austria;3. Institute of Life and Environmental Sciences, and Institute of Earth Sciences, University of Iceland, Sturlugata 7, IS-101 Reykjavík, Iceland;4. Department for Soil Health and Plant Nutrition, Institute for Sustainable Plant Production, Austrian Agency for Health and Food Safety (AGES), Spargelfeldstrasse 191, 1220 Vienna, Austria;5. Wageningen Environmental Research, Wageningen University and Research (WUR), P.O. Box 47, 6700 AA Wageningen, The Netherlands;6. Institute for Biodiversity and Ecosystem Dynamics (IBED), Faculty of Science, University of Amsterdam, P.O. Box 94248, 1090 GE Amsterdam, The Netherlands;1. University of Ankara, Institute of Social Sciences, Necatibey Caddesi No:110-A 06100 Yucetepe, Ankara, Turkey;2. University of Ankara, Faculty of Political Sciences, Ankara Universitesi Siyasal Bilgiler Fakultesi Maliye Bolumu, Cebeci, Ankara, Turkey;3. Ministry of Development of Republic of Turkey, Necatibey Caddesi No:110-A 06100 Yucetepe, Ankara, Turkey |
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| Abstract: | Managerial decisions and inter-patron congestion delays result in user costs for travel on fixed-route public transportation which vary with patronage volume. This paper analyses the types of variations which can be observed in riding and waiting times for a given public transportation fare, frequency and service structure, and develops the resulting performance functions. Typical managerial decisions with respect to fare and frequency of service are then considered, and the variation in user cost resulting from such supply changes is discussed. Various managerial strategies are explored such as maintaining service standards or constant load factors and maximizing service, profit, or net social benefits. An example of a peak-hour, radial transit route is used extensively to illustrate the impact of such decisions. |
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