Evaluating changes in the operational planning of public transportation

被引:0
作者
Mendes-Moreira, João [1 ,3 ]
De Freire Sousa, Jorge [2 ,4 ]
机构
[1] Department of Informatics Engineering, University of Porto, Porto
[2] Department of Industrial Engineering and Management, University of Porto, Porto
[3] LIAAD-INESC TEC LA, Porto
[4] UGEI-INESC TEC LA, Porto
来源
Advances in Intelligent Systems and Computing | 2014年 / 262卷
关键词
Operational planning; Performance evaluation; Public transport;
D O I
10.1007/978-3-319-04630-3_5
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
Operational planning at public transport companies is a complex process that usually comprises several phases. In the planning phase, schedules are constructed considering that buses arrive and depart as scheduled. Obviously, several disruptions frequently occur, but their impact on the operating conditions is not easy to estimate. This difficulty arises mostly due to the impossibility of testing different solutions under the same conditions. Indeed, typically, the available data are a result of the current plan, while new proposed solutions have not produced real data yet. Along this chapter we discuss the assessment of the impact of changes in the operational planning on the real operating conditions, before their occurrence. We present a framework for such assessment, which includes two components: the impact on costs, and the impact on revenues. We believe that this framework will be useful in future works on operational planning of public transport companies. © Springer International Publishing Switzerland 2014.
引用
收藏
页码:57 / 70
页数:13
相关论文
共 34 条
  • [1] Achterstraat P., Improving the performance of metropolitan bus services nsw transport and infrastructure, Nsw Auditor-General’s Report Performance Audit, NSW Transport and Infrastructure, (2010)
  • [2] Amberg B., Amberg B., Kliewer N., Increasing delay-tolerance of vehicle and crew schedules in public transport by sequential, partial-integrated and integrated approaches, Procedia Soc. Behav. Sci, 20, pp. 292-301, (2011)
  • [3] Barnum D.T., Tandon S., McNeil S., Comparing the performance of bus routes after adjusting for the environment, using data envelopment analysis, J. Transp. Eng, 134, 2, pp. 77-85, (2008)
  • [4] Borndorfer R., Lobel A., Weider S., A bundle method for integrated multi-depot vehicle and duty scheduling in public transit, Computer-Aided Systems in Public Transport. Lecture Notes in Economics and Mathematical Systems, 600, pp. 3-24, (2008)
  • [5] Bullock P., Jiang Q., Stopher P.R., Using gps technology to measure on-time running of scheduled bus services, J. Public Transp, 8, 1, pp. 21-40, (2005)
  • [6] Ceder A., Golany B., Tal O., Creating bus timetables with maximal synchronization, Transp. Res. Part a Policy Pract, 35, 10, pp. 913-928, (2001)
  • [7] Minutes matter-a review of performance metrics at the MTA, Research Report, Mta-Metropolitan Transportation Authority, (2011)
  • [8] Currie G., Douglas N., Kearns I., An assessment of alternative bus reliability indicators, Shaping the Future: Linking Research, Policy and Outcomes, 35Th Australasian Transport Research Forum (STRF), (2012)
  • [9] De Borger B., Kerstens K., Costa, l.: Public transit performance: What does one learn from frontier studies?, Transp. Rev, 22, 1, pp. 1-38, (2002)
  • [10] Dias T.G., A New Approach to the Bus Driver Scheduling Problem Using Multi-Objective Genetic Algorithms, (2005)