The relationship between urban form and travel behaviour: A comparison between results from a macro and micro analysis in the Tyne and Wear metropolitan conurbation

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  2. Dr Paulus Aditjandra
  3. Dr Steven Wright
  4. Professor John Nelson
Author(s)Aditjandra PT, Wright SD, Nelson JD
Editor(s)
Publication type Conference Proceedings (inc. Abstract)
Conference NameUTSG 42nd Annual Conference
Conference LocationPlymouth, UK
Year of Conference2010
Date5-7 January 2010
Volume
Pages
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Recent literature documents that there is a changing nature of the role of land-use and transport integrated models when used to inform local authorities in making decisions. One of the arguments is that the integrated model is inadequately equipped to address the widening range of transportation goals including promoting environmental preservation, reducing social inequities and improving quality of life. Furthermore, such models are often said to put too much emphasis on targeting the requirements of policies for regional economic growth. The paper offered here looks in detail at output from two different studies with the same research question and using the same case study area in Tyne and Wear, North East England. The research question was to what extent urban form can be shaped to meet targets for a future sustainable urban environment. The regional (macro) integrated transport and land-use data are derived from the recently completed EPSRC SOLUTIONS project for the Tyne and Wear City and Region. This is compared with local travel behaviour data derived from a recently completed PhD study looking at the micro neighbourhood scale. The comparison shows that both studies revealed that spatial strategy and urban form characteristics play a limited role in changing travel behaviour. However, whilst the macro study was found to be limited in understanding the impact of urban form on travel behaviour, the micro study demonstrated that attitudes play a bigger role than urban form characteristics in influencing the patterns of car travel but this is not captured in macro level model. Furthermore, the lack detail in representing slow modes in the macro model also limits the ability of such models to capture sustainable travel behaviour. This points to a need for more research looking into how to better model travel behaviour in a regional context.
PublisherUniversities Transport Studies Group
URLhttp://www.utsg.net/publication.php?Year=2010&abstract=aditjandra2010#aditjandra2010