AbstractWithin a random utility maximisation modelling framework, the paper develops a residential location choice model as part of an integrated transport and land use modelling system, called MetroScan – a quick scanning tool to evaluate transport and land use initiatives, including benefit-cost analysis and economic impact analysis. We describe how the developed model is integrated, as an empirically calibrated module, into the behaviourally richer transport and land use modelling system of MetroScan for practical application. A full application of MetroScan modelling system to Sydney West Metro link recently proposed by the New South Wales government is presented as a case study. The results demonstrate how the residential location choice model works with other inter-connected models, such as work and non-work location choices, dwelling tenure and dwelling type, and vehicle fleet size choice embedded in the modelling system, in simulating the impact of transport and housing development on household choices of residential location.
HighlightsIntroduce a unique planning tool that integrates transport with land use, passenger with freight, demand forecast with BCA.Develop and integrate residential location model into the overall modelling framework.Results demonstrate how residential location interacts with other location and travel choices.Undertake a full application to evaluate the impact of Sydney Metro West proposed by the New South Wales government.
Endogenous treatment of residential location choices in transport and land use models: Introducing the MetroScan framework
Journal of Transport Geography ; 64 ; 120-131
2017-08-31
12 pages
Article (Journal)
Electronic Resource
English
Microsimulation of Residential Land Development and Household Location Choices
Transportation Research Record | 2008
|Accessibility Indices: Connection to Residential Land Prices and Location Choices
Transportation Research Record | 2002
|Accessibility Indices: Connection to Residential Land Prices and Location Choices
Online Contents | 2002
|Models of count with endogenous choices
Elsevier | 2018
|