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Virtual reality simulation game approach to investigate transport adaptive capacity for peak oil planning

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  • Watcharasukarn, Montira
  • Page, Shannon
  • Krumdieck, Susan

Abstract

The peak and decline of world oil production is an emerging issue for transportation and urban planners. Peak oil from an energy perspective means that there will be progressively less fuel. Our work treats changes in oil supply as a risk to transport activity systems. A virtual reality survey method, based on the sim game concept, has been developed to audit the participant’s normal weekly travel activity, and to explore participant’s travel adaptive capacity. The travel adaptive capacity assessment (TACA) Sim survey uses avatars, Google Map™, 2D scenes, interactive screens and feedback scores. Travel adaptive capacity is proposed as a measure of long-range resilience of activity systems to fuel supply decline. Mode adaptive potential is proposed as an indicator of the future demand growth for less energy intensive travel. Both adaptation indicators can be used for peak oil vulnerability assessment. A case study was conducted involving 90 participants in Christchurch New Zealand. All of the participants were students, general staff or academics at the University of Canterbury. The adaptive capacity was assessed by both simulated extreme fuel price shock and by asking, “do you have an alternative mode?” without price pressure. The travel adaptive capacity in number of kilometers was 75% under a 5-fold fuel price increase. The mode adaptive potential was 33% cycling, 21% walking and 22% bus. Academics had adaptive capacity of only 1–5% of trips by canceling or carrying out their activity from home compared to 10–18% for students.

Suggested Citation

  • Watcharasukarn, Montira & Page, Shannon & Krumdieck, Susan, 2012. "Virtual reality simulation game approach to investigate transport adaptive capacity for peak oil planning," Transportation Research Part A: Policy and Practice, Elsevier, vol. 46(2), pages 348-367.
    • Handle: RePEc:eee:transa:v:46:y:2012:i:2:p:348-367
    DOI: 10.1016/j.tra.2011.10.003
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    Cited by:

    1. Isabel Andrade & Johann Land & Patricio Gallardo & Susan Krumdieck, 2022. "Application of the InTIME Methodology for the Transition of Office Buildings to Low Carbon—A Case Study," Sustainability, MDPI, vol. 14(19), pages 1-17, September.
    2. Solaymani, Saeed & Kari, Fatimah, 2013. "Environmental and economic effects of high petroleum prices on transport sector," Energy, Elsevier, vol. 60(C), pages 435-441.
    3. Patricio Gallardo & Rua Murray & Susan Krumdieck, 2021. "A Sequential Optimization-Simulation Approach for Planning the Transition to the Low Carbon Freight System with Case Study in the North Island of New Zealand," Energies, MDPI, vol. 14(11), pages 1-24, June.
    4. Klepikov, Vladimir Pavlovich & Klepikov, Vladimir Vladimirovich, 2020. "Quantitative approach to estimating crude oil supply in Southern Europe," Resources Policy, Elsevier, vol. 69(C).

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