Shuttle Planning for Link Closures in Urban Public Transport Networks

被引:50
作者
van der Hurk, Evelien [1 ,2 ]
Koutsopoulos, Haris N. [3 ]
Wilson, Nigel [4 ]
Kroon, Leo G. [1 ,5 ]
Maroti, Gabor [6 ]
机构
[1] Erasmus Univ, Rotterdam Sch Management, NL-3000 DR Rotterdam, Netherlands
[2] Tech Univ Denmark, Dept Transport, DK-2800 Lyngby, Denmark
[3] Northeastern Univ, Civil & Environm Engn, Boston, MA 02115 USA
[4] MIT, Civil & Environm Engn, 77 Massachusetts Ave, Cambridge, MA 02139 USA
[5] Netherlands Railways, NL-3511 ER Utrecht, Netherlands
[6] Vrije Univ Amsterdam, NL-1081 HV Amsterdam, Netherlands
关键词
shuttle planning; disruption management; line planning; public transport; COLUMN-GENERATION; RECOVERY; ROBUSTNESS;
D O I
10.1287/trsc.2015.0647
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Urban public transport systems must periodically close certain links for maintenance, which can have significant effects on the service provided to passengers. In practice, the effects of closures are mitigated by replacing the closed links with a simple shuttle service. However, alternative shuttle services could reduce inconvenience at a lower operating cost. This paper proposes a model to select shuttle lines and frequencies under budget constraints. We propose a new formulation that allows a minimal frequency restriction on any line that is operated and minimizes passenger inconvenience cost, which includes transfers and frequency-dependent waiting time costs. This model is applied to a shuttle design problem based on a real-world case study of the Massachusetts Bay Transportation Authority network of Boston, Massachusetts. The results show that additional shuttle routes can reduce passenger delay compared to the standard industry practice, while also distributing delay more equally over passengers, at the same operating budget. The results are robust under different assumptions about passenger route choice behavior. Computational experiments show that the proposed formulation, coupled with a preprocessing step, can be solved faster than prior formulations.
引用
收藏
页码:947 / 965
页数:19
相关论文
共 27 条
[1]   A column-generation approach to line planning in public transport [J].
Borndoerfer, Ralf ;
Groetschel, Martin ;
Pfetsch, Marc E. .
TRANSPORTATION SCIENCE, 2007, 41 (01) :123-132
[2]   An overview of recovery models and algorithms for real-time railway rescheduling [J].
Cacchiani, Valentina ;
Huisman, Dennis ;
Kidd, Martin ;
Kroon, Leo ;
Toth, Paolo ;
Veelenturf, Lucas ;
Wagenaar, Joris .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2014, 63 :15-37
[3]   Railway Rolling Stock Planning: Robustness Against Large Disruptions [J].
Cacchiani, Valentina ;
Caprara, Alberto ;
Galli, Laura ;
Kroon, Leo ;
Maroti, Gabor ;
Toth, Paolo .
TRANSPORTATION SCIENCE, 2012, 46 (02) :217-232
[4]   Recovery of disruptions in rapid transit networks [J].
Cadarso, Luis ;
Marin, Angel ;
Maroti, Gabor .
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2013, 53 :15-33
[5]   BUS NETWORK DESIGN [J].
CEDER, A ;
WILSON, NHM .
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 1986, 20 (04) :331-344
[6]  
Cicerone S, 2009, LECT NOTES COMPUT SC, V5868, P28, DOI 10.1007/978-3-642-05465-5_2
[7]   Cost optimal allocation of rail passenger lines [J].
Claessens, MT ;
van Dijk, NM ;
Zwaneveld, PJ .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1998, 110 (03) :474-489
[8]  
Fischetti M, 2009, LECT NOTES COMPUT SC, V5868, P61, DOI 10.1007/978-3-642-05465-5_3
[9]  
Jespersen-Groth J, 2009, LECT NOTES COMPUT SC, V5868, P399, DOI 10.1007/978-3-642-05465-5_18
[10]  
Jin J., 2013, P TRANSP RES BOARD 9