Optimization of Bus Depot Location with Consideration of Maintenance Center Availability
Publication: Journal of Transportation Engineering, Part A: Systems
Volume 144, Issue 2
Abstract
Congested cities rely on public bus transportation services for a high share of its urban mobility. Unplanned disruptions to these services, their availability, and response time have significant impacts on passengers’ satisfaction. Optimally allocating buses to depots can undermine the impact of these disruptions as well as significantly reduce operational costs. Bus depots should be equipped with the necessary tools to serve and maintain the allocated buses. This study optimizes the assignment of buses to depots while taking into consideration the availability of maintenance resources. A mixed-integer linear program (MILP) formulation was developed to reduce the overall operational cost, optimize the assignment of buses to depots, and determine the optimum allocation of the maintenance centers. The model was validated by comparing computed results with those published in the literature for Vancouver Regional Transit System. Then, the model was further used to analyze another public transportation system. Results reveal that 17% savings in deadhead kilometers cost per bus can be achieved if limitations in the maintenance resources are considered at the planning stage.
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References
Alam, A., and Hatzopoulou, M. (2014). “Investigating the isolated and combined effects of congestion, roadway grade, passenger load, and alternative fuels on transit bus emissions.” Transp. Res. Part D, 29(Jun), 12–21.
Djiba, C. B., Balde, M., Ndiaye, B. M., Faye, R. M., and Seck, D. (2012). “Optimizing dead mileage in urban bus routes: Dakar Dem Dikk case study.” Transp. Technol., 2(3), 241–247.
Eliiyi, U., Nasibov, E., Özkılçık, M., and Kuvvetli, Ü. (2012). “Minimization of fuel consumption in city bus transportation: A case study for Izmir.” Procedia Soc. Behav. Sci., 54(Oct), 231–239.
Lingo version 16.0.35 [Computer software]. LINDO Systems, Inc, Chicago.
Kepaptsoglou, K., Karlaftis, M. G., and Bitsikas, T. (2010). “Bus-to-depot allocation: Models and decision support system.” J. Transp. Eng., 600–605.
Khalil, M. I. (2011). “Reducing the vehicles fuel consumption by using the optimization technique.” Int. J. Energy Environ., 2(3), 543–550.
Mathirajan, M., Hariharakrishnan, C. V., and Ramachandran, V. (2010). “An experimental evaluation of heuristic algorithms for bus-depot matching problem of urban road transport systems.” OPSEARCH, 47(2), 143–157.
Musso, E., and Sciomachen, A. (1997). “Optimal location of bus depots in an urban area.” Urban transport and the environment for the 21st century, Vol. 33, WIT Press, Southampton, U.K.
Nasibov, E., Eliiyi, U., Ertaç, M. Ö., and Kuvvetli, Ü. (2013). “Deadhead trip minimization in city bus transportation: A real life application.” Promet Traffic Transp., 25(2), 137–145.
Sanchez-Martinez, G., Koutsopoulos, H., and Wilson, N. (2016). “Optimal allocation of vehicles to bus routes using automatically collected data and simulation modelling.” Res. Transp. Econ., 59(Nov), 268–276.
Tirachini, A., and Hensher, D. A. (2011). “Bus congestion, optimal infrastructure investment and the choice of a fare collection system in dedicated bus corridors.” Transp. Res. Part B, 45(5), 828–844.
Verbas, I. O., and Mahmassani, H. S. (2015). “Exploring trade-offs in frequency allocation in a transit network using bus route patterns: Methodology and application to large-scale urban systems.” Transp. Res. Part B, 81(2), 577–595.
Willoughby, K. A. (1993). “BUBLS: A mixed integer program for transit centre location in the lower mainland.” M.Sc. thesis, Univ. of British Columbia, Vancouver, BC, Canada.
Willoughby, K. A. (2002). “A mathematical programming analysis of public transit systems.” Omega, 30(3), 137–142.
Willoughby, K. A., and Uyeno, D. H. (1995). “Transit centre location-allocation decisions.” Transp. Res. Part A, 29(4), 263–272.
Willoughby, K. A., and Uyeno, D. H. (2001). “Resolving splits in location/allocation modeling: A heuristic procedure for transit center decisions.” Transp. Res. Part E, 37(1), 71–83.
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©2017 American Society of Civil Engineers.
History
Received: Jan 31, 2017
Accepted: Aug 7, 2017
Published online: Dec 8, 2017
Published in print: Feb 1, 2018
Discussion open until: May 8, 2018
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