Exploratory Spatial Analysis of Expressway Ramps and its Effect on Route Choice
Publication: Journal of Transportation Engineering
Volume 130, Issue 1
Abstract
This research is based on the analysis of an origin-destination survey of users of Central Florida’s expressway system. It presents an initial investigation of the drivers’ choice in accessing/exiting the ramps of the system. The implications for route choice and spatial behavior are also addressed. The results showed that the distance traveled to access or after exiting a ramp does not depend only on the spacing between ramps, but on several factors, such as the trip purpose, vehicle occupancy, driver’s income level, and E-Pass use [whether the vehicle is equipped with an electronic toll collection system (ETC)]. A significant result also was that there is considerable difference in the drivers’ choices between entering and exiting the expressway. There is an indication that drivers prefer to access the expressway at shorter distances from their origins, but they are willing to travel longer distances to their destinations once they exit the expressway. A simplistic route choice analysis also presents some insights into the route choice paradigm. Route choice was found to be a function of several factors including the travel time, toll cost, and simplicity of the route (represented by the number of different roadway segments). The existence of a guide sign directing the driver to his/her destination also had an important impact on route choice, particularly for nonfamiliar travelers. Another factor, specific to toll roads, is the toll payment facility and toll payment method. Drivers of vehicles equipped with the ETC system (E-Pass), in a certain scenario, preferred a different route from drivers with no E-Pass. Finally, a multinomial logit route choice model was developed and illustrated the significance of several factors including the direction of travel, frequency of making the trip, age, residency, and E-Pass use on the likelihood of choosing a certain route. This research confirmed findings from previous work and the literature that route choice is a function of multiple factors and not only travel time or distance.
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References
Abdel-Aty, M. (1998) “Modeling incident-related routing decisions by using a nested logit structure.” Transportation Research Record No. 1645, Transportation Research Board, Washington, D.C., 103–110.
Abdel-Aty, M., and Abdelwahab, H.(2001). “A toll road O-D travel survey: Internet and mail-back response analysis and the implications for future surveys.” J. Transp. Res. Board, 1768, 61–70.
Abdel-Aty, M., Abdelwahab, H., Aiouche, H., and Huang, Y. (2000). “Origin and destination survey results for the Orlando-Orange County Expressway Authority.” Rep., Dept. of Civil and Environmental Engineering, Univ. of Central Florida, Orlando, Fla.
Abdel-Aty, M., Kitamura, R., and Jovanis, P. (1995). “Exploring route choice behavior using GIS-based alternative routes and hypothetical travel time information input.” Transportation Research Record No. 1493, Transportation Research Board, Washington, D.C., 74–80.
Abdel-Aty, M., Kitamura, R., and Jovanis, P.(1997). “Using stated preference data for studying the effect of advanced traffic information on drivers’ route choice.” Transp. Res., Part C: Emerg. Technol., 5C(1), 39–50.
Abdel-Aty, M., Vaughn, K., Kitamura, R., Jovanis, P., and Mannering, F. (1994). “Models of commuters’ information use and route choice: Initial results based on a southern California commuter route choice survey.” Transportation Research Record No. 1453, Transportation Research Board, Washington, D.C.
Adler, J., Recker, W., and McNally, M. (1992). “A conflict model and interactive simulator (FASTCARS) for predicting enroute assessment and adjustment behavior in response to real-time traffic condition information.” Proc., 71st Annual Meeting of the Transportation Research Board, Washington D.C.
Agresti, A. (1996). An introduction to categorical data analysis, Wiley, New York.
Chen, A. (2001). “Considering risk-taking behavior in travel time reliability.” Proc., 80th Annual Meeting of the Transportation Research Board, Washington, D.C.
Hall, F., Aultman-Hall, L., and Baetz, B. (1997). “Analysis of bicycle commuter routes using geographic information systems: Implications for bicycle planning.” Transportation Research Record No. 1578, Transportation Research Board, Washington, D.C., 102–110.
Huang, L. (2001). “Ramp and route choice analysis for the expressway system using GIS.” MS thesis, Dept. of Civil Engineering, Univ. of Central Florida, Orlando, Fla.
Khattak, A., Kanafani, A., and Colletter, E. (1994). “Stated and reported route diversion behavior: Implications on the benefits of ATIS.” Proc., 73rd Annual Meeting of Transportation Research Board, Washington, D.C.
Khattak, A., Schofer, J., and Koppleman, F. (1992). “Factors influencing commuters’ enroute diversion behavior in response to delay.” Transportation Research Record No. 1318, Transportation Research Board, Washington, D.C.
Mahmassani, H., and Srinivasan, K. (2000). “Modeling inertia and compliance mechanisms in route choice behavior under real-time information.” Proc., 79th Annual Meeting of the Transportation Research Board, Washington, D.C.
Peeta, S., Poonuru, K., and Sinha, K.(2000). “Evaluation of mobility impacts of advanced information systems.” J. Transp. Eng., 126(3), 212–220.
Prashker, J., and Bekhor, S. (1999). “Stochastic user equilibrium formulations for extended logit assignment models.” Transportation Research Record No. 1676, Transportation Research Board, Washington, D.C.
Vovsha, P., and Bekhor, S. (1998). “The link-nested logit model of route choice: Overcoming the route overlapping problem.” Proc., 77th Annual Meeting of the Transportation Research Board, Washington, D.C.
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Information
Published In
Journal of Transportation Engineering
Volume 130 • Issue 1 • January 2004
Pages: 104 - 112
Copyright
Copyright © 2004 American Society of Civil Engineers.
History
Received: Mar 18, 2002
Accepted: Feb 21, 2003
Published online: Dec 15, 2003
Published in print: Jan 2004
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