Modeling Bicycle Passing Maneuvers on Multilane Separated Bicycle Paths
Publication: Journal of Transportation Engineering
Volume 139, Issue 1
Abstract
Bicycle passing maneuvers represent interferences between bicycle travelers and are important operational attributes of bicycle traffic. The number of bicycle passing maneuvers has been used to evaluate the level of service (LOS) of off-street bicycle facilities. The primary objectives of this paper are to propose a method to model bicycle passing maneuvers on multilane bicycle paths with heavy bicycle traffic and explore the characteristics of those passes. The authors classified bicycle passing maneuvers into free, adjacent, and delayed passes according to the lateral distance between bicyclists during the passing. Models were developed to estimate the number of each type of passing maneuver on unidirectional two-, three- and four-lane bicycle paths. The authors used field observations of bicycle traffic on bicycle paths in Nanjing, China to calibrate and validate these models. The model predictions on bicycle passing maneuvers were consistent with the observations. The model sensitivity analyses showed that all passing maneuvers increase as bicycle flow rate increases. The faster a bicycle runs, the more passes the rider encounters. All types of passing maneuvers linearly increase as the standard deviation of bicycle speeds increases. On wider bicycle paths, the probability of free passes remarkably increases, whereas the probabilities of adjacent and delayed passes significantly decrease.
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Acknowledgments
This research was supported by the National Key Basic Research Program (NKBRP) of China (No. 2012CB725400), the National High-Tech Research and Development Program of China (863 Program) (No. 2012AA112304), and the Scientific Research Foundation of the Graduate School of Southeast University (No. YBJJ1150). The authors thank the senior students from the Transportation School of Southeast University for their assistance in field data collection and data reduction.
References
Botma, H. (1995). “Method to determine levels of service for bicycle paths and pedestrian-bicycle paths.”, Transportation Research Board, Washington, DC, 38–44.
Cherry, C., and He, M. (2010). “Alternative methods of measuring operating speed of electric and traditional bikes in China—Implications for travel demand models.” J. East. Asia Soc. Transport. Stud., 8(1), 1424–1436.
Gould, G., and Karner, A. (2009). “Modeling bicycle facility operation: A cellular automaton approach.”, Transportation Research Board, Washington, DC, 157–164.
Hummer, J. E. et al. (2006). “Evaluation of safety, design, and operation of shared-use paths.”, U.S. Dept. of Transportation, Washington, DC.
Li, Y. (2008). “Simulation and analysis of bicycle models based on multi-value cellular automata.” M.S. thesis, Beijing Jiaotong Univ., Beijing, China.
Lin, S., He, M., Tan, Y., and He, M. (2008). “Comparison study on operating speeds of electric bicycles and bicycles: Experience from field investigation in Kunming, China.”, Transportation Research Board, Washington, DC, 52–59.
Transportation Research Board (TRB). (2000). Highway capacity manual, National Research Council, Washington, DC.
Transportation Research Board (TRB). (2010). Highway capacity manual, 5th Ed., National Research Council, Washington, DC.
Wardman, M., Tight, M., and Page, M. (2007). “Factors influencing the propensity to cycle to work.” Transp. Res. Part A, 41(4), 339–350.
Winters, M., and Teschke, K. (2010). “Route preferences among adults in the near market for bicycling: Findings of the cycling in cities study.” Am. J. Health Promot., 25(1), 40–47.
Yang, J. M. (1985). “Bicycle traffic in China.” Transport. Quart., 39(1), 93–107.
Yang, X. (2003). Urban roadway design manual in China, China Communications, Beijing, China.
Zhang, J., Wang, H., and Li, P. (2006). “Bicycle flow modeling and simulation based on cellular automaton.” J. Highway Transport. Res. Dev., 23(1), 125–129.
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© 2013 American Society of Civil Engineers.
History
Received: Oct 26, 2011
Accepted: Jun 25, 2012
Published online: Aug 22, 2012
Published in print: Jan 1, 2013
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