Skip to main content

Advertisement

SpringerLink
Log in

A bus network design procedure with elastic demand for large urban areas

  • Case Studies and Applications
  • Published:
Public Transport Aims and scope Submit manuscript

Abstract

The paper deals with a procedure for solving the bus network design problem with elastic demand in a large urban area and its application in a real context (city of Rome). The solution procedure consists of a set of heuristics, which includes a first routine for route generation based on the flow concentration process and a genetic algorithm for finding a sub-optimal set of routes with the associated frequencies. The design criteria are addressed to develop an intensive rather than extensive bus network in order to improve efficiency, integration among direct routes and effective transfer points that strongly affect service quality and ridership. The performances of the transportation system are estimated on a multimodal network taking into account the elasticity of the demand. The final goal of the research is to develop a design framework aiming at shifting the modal split towards the public transport.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

References

  • Baaj MH, Mahmassani HS (1991) An AI-based approach for transit route system planning and design. J Adv Transp 25(2):187–210

    Google Scholar 

  • Baaj MH, Mahmassani HS (1992) TRUST: a Lisp program for the analysis of transit route configurations. Transp Res Rec 1283:125–135

    Google Scholar 

  • Baaj MH, Mahmassani HS (1995) Hybrid route generation heuristic algorithm for the design of transit networks. Transp Res Part C 3:31–50

    Article  Google Scholar 

  • Beltran B, Carrese S, Cipriani E, Petrelli M (2009) Transit network design with allocation of green vehicles: A genetic algorithm approach. Transp Res Part C 17:475–483

    Article  Google Scholar 

  • Carrese S, Gori S (2002) An urban bus network design procedure. Appl Optim 64:177–196

    Article  Google Scholar 

  • Ceder A, Israeli Y (1993) Design and evaluation of transit routes in urban networks. In: Proceedings of the 3rd international conference on competition and ownership in surface passenger transport, Ontario, Canada

    Google Scholar 

  • Chakroborty P (2003) Genetic algorithms for optimal urban transit network design. Comput-Aided Civ Infrastruct Eng 18:184–200

    Article  Google Scholar 

  • Cipriani E, Fusco G, Petrelli M (2006) A multimodal transit network design procedure for urban areas. J Adv Transp Stud, Sect A 10:5–20

    Google Scholar 

  • D’Acierno L, Gallo M, Montella B (2005) Optimisation models for the urban parking pricing problem. Transp Policy 13:34–48

    Article  Google Scholar 

  • Estrada M, Roca-Riu M, Badia H, Robusté F, Daganzo CF (2011) Design and implementation of efficient transit networks: procedure, case study and validity test. Transp Res, Part A, Policy Pract 45:935–950

    Article  Google Scholar 

  • Fan W, Machemehl RB (2006) Optimal transit route network design problem with variable transit demand: genetic algorithm approach. J Transp Eng 132(1):40–51

    Article  Google Scholar 

  • Fusco G, Gori S, Petrelli M (2002) A heuristic transit network design algorithm for medium size towns. In: Proceedings of 9th Euro working group on transportation, Bari, Italy, pp 652–656

    Google Scholar 

  • Goldberg DE (1989) Genetic algorithms in search, optimization and machine learning. Addison-Wesley, Reading

    Google Scholar 

  • Guihaire V, Hao J (2008) Transit network design and scheduling: a global review. Transp Res, Part A, Policy Pract 42:1251–1273

    Article  Google Scholar 

  • Kepaptsoglou K, Karlaftis M (2009) Transit route network design problem: review. J Transp Eng 135(8):491–505

    Article  Google Scholar 

  • Krishna Rao KV, Muralidhar S, Dhingra SL (2000) Public transport routing and scheduling using genetic algorithms. In: Proceedings of the 8th international conference on computer-aided scheduling of public transport (CASPT-2000), Berlin, Germany

    Google Scholar 

  • Lee Y, Vuchic VR (2005) Transit network design with variable demand. J Transp Eng 131(1):1–10

    Article  Google Scholar 

  • Mandl CE (1979) Evaluation and optimization of urban public transportation network. Eur J Oper Res 5:396–404

    Article  Google Scholar 

  • Mauttone A, Urquhart ME (2009a) A route set construction algorithm for the transit network design problem. Comput Oper Res 36:2440–2449

    Article  Google Scholar 

  • Mauttone A, Urquhart ME (2009b) A multi-objective metaheuristic approach for the transit network design problem. Public Transp 1:253–273

    Article  Google Scholar 

  • Newell G (1979) Some issue relating to the optimal design of bus lines. Transp Sci 13(1):20–35

    Article  Google Scholar 

  • Ngamchai S, Lovell DJ (2003) Optimal time transfer in bus transit route network design using a genetic algorithm. J Transp Eng 129(5):510–521

    Article  Google Scholar 

  • Ortuzar JD, Willumsen L (1996) Modelling transport. Wiley, New York

    Google Scholar 

  • Pattnaik SB, Mohan S, Tom VM (1998) Urban bus transit network design using genetic algorithm. J Transp Eng 124(4):368–375

    Article  Google Scholar 

  • Schreyer C, Schneider C, Maibach M (INFRAS) and Rothengatter W, Doll C, Schmedding D (IWW) (2004) External costs of transport. Update study. Zurich/Karlsruhe

  • Xiong YE, Schneider JB (1993) Transportation network design using a cumulative genetic algorithm and neural network. Transp Res Rec 1364:37–44

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Civil Engineering Department, University of Roma Tre, 62, Via Vito Volterra, 00146, Rome, Italy

    Ernesto Cipriani, Stefano Gori & Marco Petrelli

Authors
  1. Ernesto Cipriani
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Stefano Gori
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Marco Petrelli
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ernesto Cipriani.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Cipriani, E., Gori, S. & Petrelli, M. A bus network design procedure with elastic demand for large urban areas. Public Transp 4, 57–76 (2012). https://doi.org/10.1007/s12469-012-0051-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12469-012-0051-7

Keywords

Search

Navigation