Public Transport

, Volume 1, Issue 2, pp 155–168 | Cite as

Regularity analysis for optimizing urban transit network design

Open Access
Original Paper

Abstract

Transit network planners often propose network structures that either assume a certain level of regularity or are even especially focused on improving service reliability, such as networks in which parts of lines share a common route or the introduction of short-turn services. The key idea is that travelers on that route will have a more frequent transit service. The impact of such network designs on service regularity is rarely analyzed in a quantitative way. This paper presents a tool that can be used to assess the impact of network changes on the regularity on a transit route and on the level of transit demand. The tool can use actual data on the punctuality of the transit system. The application of such a tool is illustrated in two ways. A case study on introducing coordinated services shows that the use of such a tool leads to more realistic estimates than the traditional approach. Second, a set of graphs is developed which can be used for a quick scan when considering network changes. These graphs can be used to assess the effect of coordinating the schedules and of improving the punctuality.

Keywords

Public Transport Transit System Network Change Transit Network Transit Service 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Barnett A (1974) On controlling randomness in transit operations. Transp Sci 8(2):102–116 CrossRefGoogle Scholar
  2. Bates J, Polak J (2001) The valuation of reliability for personal travel. Transp Res E 37:191–229 CrossRefGoogle Scholar
  3. Bruinsma FR, Peeters P, Rietveld P, van Vuuren DJ (1999) Reliability of public transport chains. Tijdschr Vervoer 35:93–111 (in Dutch) Google Scholar
  4. Bureau Goudappel Coffeng (1987) Modal split study in the city of The Hague (in Dutch) Google Scholar
  5. Carey M (1998) Optimizing scheduled times, allowing for behavioural response. Transp Res B 32(5):329–342 CrossRefGoogle Scholar
  6. Centrum voor omgevings- en verkeerspsychologie (1998) Reliability of means of transport, Groningen (in Dutch) Google Scholar
  7. Chowdhury S, Chien S (2001) Dynamic vehicle dispatching at intermodal transfer station. In: Transportation Research Board 80th annual meeting, Washington, DC Google Scholar
  8. Fu L, Liu Q (2003) A real time optimization for dynamic scheduling of transit operations. In: Transportation Research Board 82th annual meeting, Washington, DC Google Scholar
  9. Hakkesteegt P, Muller ThHJ (1981) Research increasing regularity. Verkeerskundige werkdagen, pp 415–436 (in Dutch) Google Scholar
  10. Heap RC, Thomas TH (1976) The modelling of platooning tendencies in public transport. Traffic Eng Control 8(9):360–362 Google Scholar
  11. Israeli Y, Ceder A (1996) Public transportation assignment with passenger strategies for overlapping route choice. In: Lesort JB (ed) Transportation and traffic theory. Elsevier Science, Amsterdam Google Scholar
  12. Muller ThHJ, Furth PG (2000a) Integrating bus service planning with analysis, operational control and performance monitoring. In: ITS 10th conference proceedings, Washington, DC Google Scholar
  13. Muller ThHJ, Furth PG (2000b) Conditional bus priority at signalized intersections: better service with less traffic disruption. Transp Res Rec 1731:23–30. Transportation Research Board, Washington, DC CrossRefGoogle Scholar
  14. O’Flaherty CA, Mangan DO (1970) Bus passengers waiting time in central areas. Traffic Eng Control 11:419–421 Google Scholar
  15. Osuna EE, Newell GF (1972) Control strategies for an idealized public transport system. Transp Sci 6(1):52–72 CrossRefGoogle Scholar
  16. Seddon PA, Day MP (1974) Bus passengers waiting times in greater Manchester. Traffic Eng Control 15:422–445 Google Scholar
  17. TU Delft (1997–2002) TRIp time analysis in public transport (TRITAPT). Computer application, Delft Google Scholar
  18. Van der Waard J (1988) The relative importance of public transport trip time attributes in route choice. PTRC, London Google Scholar
  19. van Oort N (2003) Impact of the timetable and performance of public transport on network design. TU Delft/HTM The Hague (MSc-Thesis) (in Dutch) Google Scholar
  20. Wardman M (2001) Public transport values of time. Working paper 564, Institute of Transport Studies, University of Leeds, Leeds Google Scholar
  21. Welding PI (1957) The instability of a close interval service. Oper Res Q 8(3):133–148 CrossRefGoogle Scholar

Copyright information

© The Author(s) 2009

Authors and Affiliations

  1. 1.Department of Research and DevelopmentHTM Urban Transport CompanyThe HagueThe Netherlands
  2. 2.Faculty of Civil Engineering and Geosciences, Transport & PlanningDelft University of TechnologyDelftThe Netherlands

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