Consumer benefit model for developing public transport networks

In urban areas, public transport services facilitate the desired mobility of the populace, delivering widespread benefits to users and the community. However, there is no standard methodology for measuring user benefit to design public transport networks. This paper proposes consumer surplus as an appropriate measurement of user benefit, and builds a computational model to test it and show a potential application. To develop the model, the paper investigates network objectives and demand models, and the model is demonstrated with a case study of evaluating a hypothetical metro network for Sydney using Journey to Work data. To estimate the redistribution of demand from introduction of the metro network, a separate multinomial logit model is used between every origin-destination zone pair, calibrated by measuring generalised costs of the existing and future network, and incorporating modal share patterns from the data. Consumer surplus is calculated using the logsum function, with a scale factor targeted such that metro demand elasticity matches a desired value. A variety of sensitivity tests of network and analytical parameters are performed. The consumer surplus measurement behaves predictably, with improved stability over past methods. However, model computations grow exponentially with the size of the study area, and the specialised use of the scale factor requires greater theoretical backing. The model outputs can be used in algorithms for the public transport network design problem and for economic appraisal of projects. Further research is required to refine the model and find equally rigorous measurements of supplier and community benefits from public transport.

Language

  • English

Media Info

  • Pagination: 9p
  • Monograph Title: 32nd Conference of Australian Institutes of Transport Research (CAITR), University of New South Wales, Sydney, 17-18th February 2014

Subject/Index Terms

Filing Info

  • Accession Number: 01525029
  • Record Type: Publication
  • Source Agency: ARRB
  • Files: ITRD, ATRI
  • Created Date: May 20 2014 12:50PM