A new approach for trip generation estimation for use in traffic impact assessments

Mousavi, Amir, Bunker, Jonathan Michael, & Lee, Brian (2012) A new approach for trip generation estimation for use in traffic impact assessments. In Chong, Lydia (Ed.) 25th ARRB Conference Proceedings, ARRB Group Ltd, Pan Pacific Hotel, Perth, WA.

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Findings from an online survey conducted by Queensland University of Technology (QUT) shows that Australia is suffering from a lack of data reflecting trip generation for use in Traffic Impact Assessments (TIAs). Current independent variables for trip generation estimation are not able to create robust outcomes as well. It is also challenging to account for the impact of the new development on public and active transport as well as the effect of trip chaining behaviour in Australian TIA studies. With this background in mind, research is being implemented by QUT to find a new approach developing a combined model of trip generation and mode choice with consideration of trip chaining effects. It is expected that the model will provide transferable outcomes as it is developed based on socio-demographic parameters. Child Care Centres within the Brisbane area have been nominated for model development. At the time, the project is in the data collection phase. Findings from the pilot survey associated with capturing trip chaining and mode choice information reveal that applying questionnaire is able to capture required information in an acceptable level. The result also reveals that several centres within an area should be surveyed in order to provide sufficient data for trip chaining and modal split analysis.

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ID Code: 53697
Item Type: Conference Paper
Refereed: Yes
Keywords: trip generation, transport impact assessment, traffic impact assessment, transport modelling, transport surveys
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)
Divisions: Current > QUT Faculties and Divisions > Science & Engineering Faculty
Current > Research Centres > Smart Transport Research Centre
Copyright Owner: Copyright 2012 ARRB Group Ltd and Authors
Copyright Statement: © ARRB Group Ltd and Authors 2012
Deposited On: 19 Sep 2012 03:05
Last Modified: 26 Jun 2017 15:08

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