Short‐Term Demand for Specialized Transportation: Time‐Series Model
Publication: Journal of Transportation Engineering
Volume 116, Issue 1
Abstract
This paper focuses on regression and intervention modeling of Lexington/Fayette County specialized transportation, WHEELS, monthly riderships. The 1979–1985 time‐series ridership data are comprised of total monthly trips and their breakdown by passenger type, the passenger's ability to walk, and trip purpose. Intervention models from time‐series analysis properly replicated these monthly riderships. The superiority of intervention modeling when compared with regression analysis was found to be in capturing ridership seasonality, proper incorporation of the time‐lag structure, and the intervening events of fare and service changes. Post‐modeling analysis determined months of ridership peaks. The para‐transit planning and management utility of these modeling techniques in time‐series analysis is clearly evident. Although the selected models are dependent on the 1975–1985 data, the same methodology can be applied to any time‐series ridership data for short‐term demand modeling.
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References
1.
Billheimer, J. W., Lucas, G. R., and Wilmuth, R. W. (1979). “Review and assessment of paratransit models.” Transportation Research Record 724, Transportation Research Board (TRB), 29–35.
2.
Box, G. E. P., and Jenkins, G. M. (1976). Time‐series analysis: Forecasting and control. Holden‐Day, San Francisco, Calif.
3.
Box, G. E. P., and Tiao, G. C. (1975). “Intervention analysis with application to economic and environmental problems.” J. Amer. Statistical Assoc., 70, 70–79.
4.
Dixon, W. J. (1983). “BMDP statistical software, 1983 printing with additions.” University of California Press, Berkeley, Calif.
5.
Doi, M., and Allen, W. B. (1986). “A time‐series analysis of monthly ridership for urban rail rapid transit line.” Transp., 13(3), 257–271.
6.
Dorman, D., and Middendorf, D. (1985). “Planning services for transportation handicapped people, Data collection manual.” DOT‐I‐83‐40R, Technology Sharing Program, U.S. Department of Transportation, Washington, D.C.
7.
Gaurdy, M. (1975). “An aggregate time‐series analysis of urban transit demand: The Montreal Case.” Transp. Res., 9, 249–258.
8.
Gaurdy, M. (1978). “Seemingly unrelated static and dynamic urban travel demand models.” Transp. Res., 12, 195–212.
9.
Golob, T. F., and Meurs, H. (1986). “Biases in response over time in a seven‐day travel diary.” Transp., 13(2), 163–183.
10.
Hamer, N. (1985). “Implementation of computer systems for specialized transit: Three case studies,” presented at 10th Nat. Conf. on Specialized Transportation, Sarasota, Fla.
11.
Kikuchi, S. (1985). “Disparting of specialized transportation vehicles: Problems and methods,” presented at 10th Nat. Conf. on Specialized Transportation, Sarasota, Fla.
12.
Kyte, M., Stoner, J., and Cryer, J. (1985). “Development and application of time‐series transit ridership models for Portland, Oregon.” Transportation Research Record 1036, Transportation Research Board (TRB), 9–18.
13.
Rose, G. (1986). “Transit passenger response: Short and long term elasticities using time‐series analysis.” Transp., 13(2), 131–145.
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Copyright © 1990 ASCE.
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Published online: Jan 1, 1990
Published in print: Jan 1990
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