The Impact of Public Transport Network Accessibility on Trip Generation Model
Abstract
The most commonly used model in transport planning is the four-step model of transport demand. Although a number of improvements have been made to this model over the past six decades of use, its main weakness remains that the characteristics of the transport network are not included in the sub-model of trip generation. In the research presented in this paper the authors investigated the possibility of improving this key model. Based on the results of correlation and regression analysis it has been proven that the public transport network accessibility significantly affects the total number of generated trips. This opens up new possibilities for improving this model as well as the process of transport planning.References
Manheim ML. Fundamentals of Transportation Systems Analysis. Vol 1. Cambridge: MIT Press; 1979.
Webster FV, Bly PB. The Demand for Public Transport. Crowthorne: Transport and Road Research Laboratory; 1980.
Oppenheim N. Urban Travel Demand Modeling. New York: John Wiley & Sons; 1995.
Handbook of Transport Modelling. Oxford: Elsevier Science; 2000.
Ortuzar J, Willumsen LG. Modelling Transport. 4th ed. Chichester: John Wiley & Sons; 2011.
Hansen WG. How Accessibility Shapes Land Use. Journal of the American Institute for Planners. 1959;35:73-6.
Shindler R, Ferreri MG. Auto ownership as affected by transportation system alternatives. Traffic Engineering (monograph), 1967.
Leake GR, Huzzayin AS. Importance of accessibility measures in trip production models. Transportation Planning and Technology. 1980;6(1):9-20.
Erwing R, DeAnna M, Li S. Land Use Impacts on Trip Generation Rates. Washington DC: Transportation Research Record 1518 – TRB; 1996.
Meyer MD, Miller EJ. Urban Transportation Planning: A Decision-Oriented Approach. 2nd ed. Boston: McGraw-Hill; 2001.
Daly A. Improved Methods for Trip Generation. Uxbridge: European Transport Conference; Uxbridge, 1997.
Thill J, Kim M. Trip making, induced travel demand, and accessibility. Journal of Geograph System. 2005;(7):229-48.
Kitamura R. The effect of added transportation capacity on travel: a review of theoretical and empirical results. Transportation. 2009;36:745-62.
Litman T. Evaluating Accessibility for Transportation Planning. Victoria: Victoria Transport Policy Institute; 2012.
Transportation Planning Handbook. Washington DC: Institute of Transportation Engineers; 2009.
Travel Demand Forecasting: Parameters and Techniques. Washington DC: Transportation Research Board; 2012.
Pas EI. An empirical comparison of zonal, household and personal models of home-based trip generation. Traffic Engineering & Control. 1978;(19):64-8.
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).