Modeling Level of Urban Taxi Services Using Neural Network
Publication: Journal of Transportation Engineering
Volume 125, Issue 3
Abstract
This paper is concerned with the modeling of the complex demand-supply relationship in urban taxi services. A neural network model is developed, based on a taxi service situation observed in the urban area of Hong Kong. The input consists of several exogenous variables including number of licensed taxis, incremental charge of taxi fare, average occupied taxi journey time, average disposable income, and population and customer price index; the output consists of a set of endogenous variables including daily taxi passenger demand, passenger waiting time, vacant taxi headway, average percentage of occupied taxis, taxi utilization, and average taxi waiting time. Comparisons of the estimation accuracy are made between the neural network model and the simultaneous equations model. The results show that the neutral network-based macro taxi model can obtain much more accurate information of the taxi services than the simultaneous equations model does. Although the data set used for training the neural network is small, the results obtained thus far are very encouraging. The neural network model can be used as a policy tool by regulator to assist with the decisions concerning the restriction over the number of taxi licenses and the fixing of the taxi fare structure as well as a range of service quality control.
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References
1.
Arnott, R. ( 1996). “Taxi travel should be subsidized.” J. Urban Economics, 40, 316–333.
2.
Cairns, R. D., and Liston-Heyes, C. ( 1996). “Competition and regulation in the taxi industry.” J. Public Economics, 59, 1–15.
3.
Dougherty, M. ( 1995). “A review of neural networks applied to transport.” Transp. Res., 3C, 247–260.
4.
Dougherty, M. ( 1997). “Applications of neural networks in transportation.” Transp. Res., 5C, 255–257.
5.
Hong Kong Government. ( 1996). Hong Kong annual digest of statistics. Hong Kong Government, Hong Kong.
6.
Hong Kong Transport Advisory Committee. ( 1992). “Consultative paper on taxi policy review.” Hong Kong Transport Advisory Committee, Hong Kong.
7.
Lowry, I. S. ( 1964). A model of metropolis. Rand Corp.
8.
Manski, C. F., and Wright, J. D. ( 1976). “Nature of equilibrium in the market for taxi services.” Transp. Res. Rec., 619, 296–306.
9.
Mehra, P., and Wah, B. W. ( 1994). Artificial neural networks: Concepts and theory. IEEE Computer Society Press, Los Alamitos, Calif.
10.
Rumelhart, D. E., and McClelland, J. L. ( 1986). Parallel distributed processing, MIT Press, Cambridge, Mass.
11.
Transport Department. ( 1982). Travel characteristics survey. TTPD, Hong Kong Government, Hong Kong.
12.
Transport Department. ( 1989). Final Rep. of 2nd Comprehensive Transport Study. Hong Kong Government, Hong Kong.
13.
Transport Department. ( 1993a). Travel characteristics survey. TTPD, Hong Kong Government, Hong Kong.
14.
Transport Department. ( 1993b). Updating of 2nd Comprehensive Transport Studies Final Rep. Hong Kong Government, Hong Kong.
15.
Transport Department. ( 1996a). The level of taxi services. TTSD Publication Series, Hong Kong Government, Hong Kong.
16.
Transport Department. ( 1996b). Traffic and Transport Digest. TTSD Publication Series, Hong Kong Government, Hong Kong.
17.
Transport Department. ( 1996c). The annual traffic census. TTSD Publication Series, Hong Kong Government, Hong Kong.
18.
Wasserman, P. D. ( 1989). Neural computing, theory and practice. Van Nostrand Reinhold, New York.
19.
Wasserman, P. D. ( 1993). Advanced methods in neural computing. Van Nostrand Reinhold, New York.
20.
Yang, H., and Lau, Y. W., Wong, S. C., and Lo, H. K. ( 1998). “A macroscopic taxi model for passenger demand, taxi utilization and level of services.” Transportation, to appear.
21.
Yang, H., and Wong, S. C. ( 1998). “A network model for urban taxi services.” Transp. Res., 32B, 235–246.
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Received: Feb 18, 1998
Published online: May 1, 1999
Published in print: May 1999
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