Deadhead Trip Minimization in City Bus Transportation: A Real Life Application

Efendi Nasibov, Uğur Eliiyi, Mefharet Özkilçik Ertaç, Ümit Kuvvetli

Abstract


The quality of public transportation services is one of the most important performance indicators of modern urban policies for both planning and implementation aspects. Therefore, along with the size of the city, the significance of appropriate cost evaluation and optimization of all related transportation activities increases as well. One of the most important cost factors for the public transport agencies is naturally the fuel consumption of the vehicles. In this study, the attention is focused on the metropolitan bus transport service. The specific aim is to minimize a significant portion of total fuel utilization that occurs due to the so called deadhead trip or dead mileage, which is defined as the idle distance covered by the vehicle between the garage and the route terminal stops without carrying any passengers. In this study, the results of four mathematical models for minimizing the total deadhead trip distance covered in city bus services of Izmir are presented. The models vary due to the inclusion of garage capacity restrictions or operator distinction for supporting both operational and strategical decisions. All models are applied to the recent bus schedule data, which consist of 293 routes, 1,424 buses and 10 garages, for obtaining the optimal route bus-garage allocations and garage capacities. The results of the Decentralized-Capacitated model, which is appropriate for quick implementation, promise a 7.8% reduction in total dead mileage. While on the other hand, if all garage capacities can be expanded and the bus service is maintained only by one operator as modelled in the Centralized-Uncapacitated case, even a 31.4% improvement is possible in the long term. The environmental gains as well as the financial benefits to be achieved when the solutions are actually implemented, justify the practical contribution of the study.

Keywords


urban transport planning; deadhead trip; bus-garage allocation; garage capacity planning

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References


Izmir City Booklet: http://www.izmir.bel.tr/booklet/online_brosur_ingilizce/Default.html [22 May 2012]

Sharma, V., Prakash, S.: Optimizing dead mileage in urban bus routes, Journal of Transportation Engineering, Vol. 112, No. 1, 1986, pp. 121-129

Agrawal, A.K., Dhingra, S.L.: An optimal programme for augmentation of capacities of depots and shipment of buses from depots to starting points of routes, Indian Journal of Pure and Applied Mathematics, Vol. 20, No. 2, 1989, pp. 111-120

Waters, N.M., Wirasinghe, S.C., Babalola, A., Marion, K.E.D.: Location of bus garages, Journal of Advanced Transportation, Vol. 20, No. 2, 1986, pp. 133-150

Uyeno, D.H., Willoughby, K.A.: Transit center location-allocation decisions, Transportation Research Part A: Policy and Practice, Vol. 29, No. 4, 1995, pp. 263-272

Van der Perre, P.P.G., Van Oudheusden, D.D.L.: Reducing depot-related costs of large bus operators a case study in Bangkok, European Journal of Operational Research, Vol. 96, No. 1, 1996, pp. 45-53

Prakash, S., Balaji, B.V., Tuteja, D.: Optimizing dead mileage in urban bus routes through a nondominated solution approach, European Journal of Operational Research, Vol. 114, No. 3, 1999, pp. 465-473

Willoughby, K.A., Uyeno, D.H.: Resolving splits in location/allocation modeling: a heuristic procedure for transit center decisions, Transportation Research Part E: Logistics and Transportation Review, Vol. 37, No. 1, 2001, pp. 71-83

Willoughby, K.A.: A mathematical programming analysis of public transit systems, Omega, Vol. 30, No. 3, 2002, pp. 137-142

Dahiya, K., Verma, V.: Capacitated transportation problem with bounds on RIM conditions, European Journal of Operational Research, Vol. 178, No. 3, 2007, pp. 718-737

Kliewer, N., Gintner, V., Suhl, L.: Line change considerations within a time-space network based multi-depot bus scheduling model, Lecture Notes in Economics and Mathematical Systems, Vol. 600, No. 1, 2008, pp. 57-70

Pepin, A.S., Desaulniers, G., Hertz, A., Huisman, D.: A comparison of five heuristics for the multiple depot vehicle scheduling problem, Journal of Scheduling, Vol. 12, No. 1, 2009, pp. 17-30

Xing, L., Rohlfshagen, P., Chen, Y., Yao, X.: An evolutionary approach to the multidepot capacitated arc routing problem, IEEE Transactions on Evolutionary Computation, Vol. 14, No. 3, 2010, pp. 356-374

Wei, M., Jin, W., Fu, W., Xiao-ni, H.: Improved ant colony algorithm for multi-depot bus scheduling problem with route time constraints, Proceedings of the 8th World Congress on Intelligent Control and Automation, 2010, pp. 4050-4053

Mathirajan, M., Hariharakrishnan, C.V., Ramachandran, V.: An experimental evaluation of heuristic algo

rithms for bus-depot matching problem of urban road transport systems, OPSEARCH, Vol. 47, No. 2, 2010, pp. 143-157

Kepaptsoglou, K., Karlaftis, M.G., Bitsikas, T.: Bus to depot allocation: models and decision support system, Journal of Transportation Engineering, Vol. 136, No. 7, 2010, pp. 600-605

Cortes, C.E., Diaz, S.J., Tirachini, A.: Integrating short turning and deadheading in the optimization of transit services, Transportation Research Part A: Policy and Practice, Vol. 45, No.5, 2011, pp. 419-434

Bunte, S., Kliewer, N.: An overview on vehicle scheduling models, Public Transport, Vol. 1, No. 4, 2009, pp. 299-317

American Public Transportation Association: Public Transportation Fact Book 2012 Appendix A: Historical Tables, 63rd ed., APTA, Washington, DC, 2012

Indicative Exchange Rates - Central Bank of the Republic of Turkey: http://www.tcmb.gov.tr [10 Feb 2012]

UK Department for Transport: Statistical data set ENV0302 - Average emissions from road vehicles in urban conditions, https://www.gov.uk/government/statistical-data-sets/env03-pollutants-emissions-and-noise [11 Jan 2013]

United Nations Environment Programme (UNEP): UNEP Launches Campaign to Plant a Billion Trees, Press Release, Nairobi, 8 November 2006. http://www.unep.org/Documents.Multilingual/Default.asp?DocumentID=485&ArticleID=5417&l=en [11 Jan 2013]

Li, J.Q., Head, K.L.: Sustainability provisions in the bus-scheduling problem, Transportation Research Part D: Transport and Environment, Vol. 14, No. 1, 2009, pp. 50-60




DOI: http://dx.doi.org/10.7307/ptt.v25i2.1289

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