Land use transport interaction: a way to reduce bias and improve forecasts?

Land Use Transport Interaction (LUTI) models forecast land use (i.e. spatial location of population and employment) as well as transport demand in conjunction with each other. Whilst these types of models have been around since the 1970s they have been rarely used in practical application in Australia. One particular benefit to modern transport planning approaches is that future land use data is forecast, rather than provided by land use planners. This not only means that transport accessibility has had a direct influence on future land uses, but that the potential for optimism bias by bullish planners is removed. Given that a significant influence on transport forecasts are the land use inputs themselves, this (if properly calibrated) has the potential to substantially improve forecasting mechanisms. This paper examines the “state of the art” in terms of the implementation and structure of LUTI models and calibration methodologies. Consideration is also given to how the use of such model might transform transport planning from “predict and provide” to “predict and prioritize”. Finally, the appropriateness of such a structure in the Perth planning scene is considered.

Language

  • English

Media Info

  • Pagination: 11p
  • Monograph Title: AITPM National Traffic and Transport Conference, Perth, Western Australia, 30 July to 2 August 2013

Subject/Index Terms

Filing Info

  • Accession Number: 01492947
  • Record Type: Publication
  • Source Agency: ARRB
  • Files: ITRD, ATRI
  • Created Date: Sep 16 2013 9:33AM