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Traffic Control and CO2 Reduction: Utilisation of Virtual Modelling within University Estates Master Planning

Author

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  • Richard Laing

    (Scott Sutherland School, Robert Gordon University, Aberdeen, UK)

  • Amar Bennadji

    (Scott Sutherland School, Robert Gordon University, Aberdeen, UK)

  • David Gray

    (Institute for Management Governance & Society, Robert Gordon University, Aberdeen, UK)

Abstract

The aim of the research described in this article was to explore the use of intelligent virtual transport modelling, within the context of a case study involving the development of a University estate. Through the application of visualisation techniques, the study was able to explore how such techniques can lead to enlightenment of potential solutions, whilst simultaneously demonstrating the effects of design solutions on CO2 emissions. The research used UC-win/Road software to support the visualisation component. The software supports the integration of road planning within urban settings and enables the creation of walkthrough visualisations, useful in communication with non-specialist end users. Outcomes of the research included an animation to assist planners in the consideration of travel time, distance and staff experience. Vitally, though, this is intrinsically connected with a study of how one can ensure that visual elements of a design process are undertaken to support complex technical, social and environmental decision making. The work is placed within a consideration of participation in the planning and design of sustainable transport approaches in urban areas, and the approach described should be viewed within this context.

Suggested Citation

  • Richard Laing & Amar Bennadji & David Gray, 2013. "Traffic Control and CO2 Reduction: Utilisation of Virtual Modelling within University Estates Master Planning," International Journal of E-Planning Research (IJEPR), IGI Global, vol. 2(1), pages 43-57, January.
    • Handle: RePEc:igg:jepr00:v:2:y:2013:i:1:p:43-57
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