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Minimizing user and operator costs of single line bus service using operational strategies

    Chunyan Tang Affiliation
    ; Avishai (Avi) Ceder Affiliation
    ; Shengchuan Zhao Affiliation

Abstract

This work presents a methodology for minimizing costs involved in the operation of a single line bus service. The model developed is based on optimal implementation of operational strategies tailored to passenger demand for a bi-directional single bus line. As a result, the commonly used timetable for Full Route Operation (FRO) will have to change to accommodate three types of strategies: short turn, limited stop, and mixed strategy (a combination of short turn and limited stop). The use of operational strategies will better match supply and demand, and will thus improve operation efficiency. The optimization model determines which trips of the given FRO timetable will be implemented with given strategies considering the trade-offs between passenger and operator costs. Moreover, in applying the model, the availability of real time information for passengers is considered in the calculation of waiting times. The proposed model is interpreted in the context of a small example, which serves as an explanatory devise. Then, it is applied to a real life case study in Dalian, China. The results show an indication that a significant saving could be attained by the use of multiple strategies. These savings were especially observed in the reduction of operational costs involved with the saving of travel times and running empty seats.

Keyword : public transit, operational strategies, timetable, full route operation, optimization

How to Cite
Tang, C., Ceder, A. (Avi), & Zhao, S. (2018). Minimizing user and operator costs of single line bus service using operational strategies. Transport, 33(4), 993-1004. https://doi.org/10.3846/transport.2018.6595
Published in Issue
Dec 5, 2018
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Brooke, A.; Kendrick, D.; Meeraus, A.; Raman R. 2005. GAMS: a User’s Guide. GAMS Development Corporation.

Cats, O.; Loutos, G. 2016. Real-time bus arrival information system: an empirical evaluation, Journal of Intelligent Transportation Systems: Technology, Planning, and Operations 20(2): 138–151. https://doi.org/10.1080/15472450.2015.1011638

Ceder, A. 1989. Optimal design of transit short-turn trips, Transportation Research Record: Journal of the Transportation Research Board 1221: 8–22.

Ceder, A. 2015. Public Transit Planning and Operation: Modeling, Practice and Behavior. CRC Press. 742 p.

Ceder, A. 2007. Public Transit Planning and Operation: Theory, Modeling and Practice. Butterworth-Heinemann. 640 p.

Ceder, A.; Stern, H. I. 1981. Deficit function bus scheduling with deadheading trip insertions for fleet size reduction, Transportation Science 15(4): 338–363. https://doi.org/10.1287/trsc.15.4.338

Chen, J.; Liu, Z.; Zhu, S.; Wang, W. 2015. Design of limited-stop bus service with capacity constraint and stochastic travel time, Transportation Research Part E: Logistics and Transportation Review 83:1–15. https://doi.org/10.1016/j.tre.2015.08.007

Chien, S.; Byun, J.; Bladikas, A. 2010a. Optimal stop spacing and headway of congested transit system considering realistic wait times, Transportation Planning and Technology 33(6): 495–513. https://doi.org/10.1080/03081060.2010.505048

Chien, S. I.-J.; Ulusoy, Y. Y.; Wei, C.-H. 2010b. Integrated transit services for minimum cost operation considering heterogeneous demand, Transportation Planning and Technology 33(7): 605–624. https://doi.org/10.1080/03081060.2010.512222

Chiraphadhanakul, V.; Barnhart, C. 2013. Incremental bus service design: combining limited-stop and local bus services, Public Transport 5(1–2): 53–78. https://doi.org/10.1007/s12469-013-0067-7

Cortés, C. E.; Jara-Díaz, S.; Tirachini, A. 2011. Integrating short turning and deadheading in the optimization of transit services, Transportation Research Part A: Policy and Practice 45(5): 419–434. https://doi.org/10.1016/j.tra.2011.02.002

Delle Site, P.; Filippi, F. 1998. Service optimization for bus corridors with short-turn strategies and variable vehicle size, Transportation Research Part A: Policy and Practice 32(1): 19–38. https://doi.org/10.1016/S0965-8564(97)00016-5

Dziekan, K.; Kottenhoff, K. 2007. Dynamic at-stop real-time information displays for public transport: effects on customers, Transportation Research Part A: Policy and Practice 41(6): 489–501. https://doi.org/10.1016/j.tra.2006.11.006

Fu, L.; Liu, Q.; Calamai, P. 2003. Real-time optimization model for dynamic scheduling of transit Operations, Transportation Research Record: Journal of the Transportation Research Board 1857: 48–55. https://doi.org/10.3141/1857-06

Furth, P. G. 1987. Short turning on transit routes, Transportation Research Record: Journal of the Transportation Research Board 1108: 42–52.

Furth, P. G.; Day, F. B. 1985. Transit routing and scheduling strategies for heavy-demand corridors, Transportation Research Record: Journal of the Transportation Research Board 1101: 23–26.

Grossmann, I. E.; Viswanathan, J.; Vecchietti, A.; Raman, R. 2018. DICOPT. GAMS Development Corporation. Available from Internet: https://www.gams.com/latest/docs/S_DICOPT.html

Hassold, S.; Ceder, A. 2012. Multiobjective approach to creating bus timetables with multiple vehicle types, Transportation Research Record: Journal of the Transportation Research Board 2276: 56–62. https://doi.org/10.3141/2276-07

Hassold, S.; Ceder, A. 2014. Public transport vehicle scheduling featuring multiple vehicle types, Transportation Research Part B: Methodological 67: 129–143. https://doi.org/10.1016/j.trb.2014.04.009

Larrain, H.; Giesen, R., Muñoz, J. C. 2010. Choosing the right express services for bus corridor with capacity restrictions, Transportation Research Record: Journal of the Transportation Research Board 2197: 63–70. https://doi.org/10.3141/2197-08

Larrain, H.; Muñoz, J. C.; Giesen, R. 2015. Generation and design heuristics for zonal express services, Transportation Research Part E: Logistics and Transportation Review 79: 201–212. https://doi.org/10.1016/j.tre.2015.04.008

Leiva, C.; Muñoz, J. C.; Giesen, R.; Larrain, H. 2010. Design of limited-stop services for an urban bus corridor with capacity constraints, Transportation Research Part B: Methodological 44(10): 1186–1201. https://doi.org/10.1016/j.trb.2010.01.003

Liu, Z.; Yan, Y.; Qu, X.; Zhang, Y. 2013. Bus stop-skipping scheme with random travel time, Transportation Research Part C: Emerging Technologies 35: 46–56. https://doi.org/10.1016/j.trc.2013.06.004

Qu, H.-Z.; Chien, S. I.-J.; Liu, X.-B.; Zhang, P.-T.; Bladikas, A. 2016. Optimizing bus services with variable directional and temporal demand using genetic algorithm, Journal of Central South University 23(7): 1786–1798. https://doi.org/10.1007/s11771-016-3232-8

Tang, C.; Ceder, A.; Zhao, S.; Ge, Y.-E. 2016. Determining optimal strategies for single-line bus operation by means of smartphone demand data, Transportation Research Record: Journal of the Transportation Research Board 2539: 130–139. https://doi.org/10.3141/2539-15

Ulusoy, Y. Y.; Chien, S. I.-J. 2015. Optimal bus service patterns and frequencies considering transfer demand elasticity with genetic algorithm, Transportation Planning and Technology 38(4): 409–424. https://doi.org/10.1080/03081060.2015.1026101

Ulusoy, Y. Y.; Chien, S. I.-J.; Wei, C.-H. 2010. Optimal all-stop, short-turn, and express transit services under heterogeneous demand, Transportation Research Record: Journal of the Transportation Research Board 2197: 8–18. https://doi.org/10.3141/2197-02

Viswanathan, J.; Grossmann, I. E. 1990. A combined penalty function and outer-approximation method for MINLP optimization, Computers & Chemical Engineering 14(7):769–782. https://doi.org/10.1016/0098-1354(90)87085-4

Watkins, K. E.; Ferris, B.; Borning, A.; Rutherford, G. S.; Layton, D. 2011. Where is my bus? Impact of mobile real-time information on the perceived and actual wait time of transit riders, Transportation Research Part A: Policy and Practice 45(8): 839–848. https://doi.org/10.1016/j.tra.2011.06.010

Zhao, L.; Chien, S. I. 2015. Investigating the impact of stochastic vehicle arrivals to optimal stop spacing and headway for a feeder bus route, Journal of Advanced Transportation 49(3): 341–357. https://doi.org/10.1002/atr.1270