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Enabling technologies for demand management: Transport

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  • Smith, Roderick A.

Abstract

Rising transport demand is likely to be the biggest hurdle to reducing our greenhouse gas emissions. Globally and nationally, transport is consuming an ever increasing share of our total energy use. Furthermore, the bulk of energy used in transport comes from the burning of petroleum products. This brief paper summarises options arising from the two routes to reduce energy demand in transport: improved and more efficient use of existing and possible new transport modes, and the reduction of transport demand. In both areas, the prospects in the immediate and longer-term future are hedged with difficulties. Automobiles and aircraft have improved considerably in recent decades, but future improvements are likely to be incremental. The introduction of hydrogen as a fuel is appealing, but there are technical problems to be solved. Active reduction of demand for transport will require a decoupling of the link between demand and growth in gross domestic product. Globally, this will be very difficult to achieve. Various modes of public transport exist that are efficient in terms of their energy use per passenger kilometre. But they need large investments to make them more attractive than the automobile. However, population concentration in mega-cities, allied with congestion, will make such innovation essential. Policy measures can be assisted in their implementation by new technology, but will remain politically problematic.

Suggested Citation

  • Smith, Roderick A., 2008. "Enabling technologies for demand management: Transport," Energy Policy, Elsevier, vol. 36(12), pages 4444-4448, December.
  • Handle: RePEc:eee:enepol:v:36:y:2008:i:12:p:4444-4448
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    Cited by:

    1. Schwanen, Tim & Banister, David & Anable, Jillian, 2011. "Scientific research about climate change mitigation in transport: A critical review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 45(10), pages 993-1006.
    2. Ingrid Moons & Patrick De Pelsmacker, 2015. "An Extended Decomposed Theory of Planned Behaviour to Predict the Usage Intention of the Electric Car: A Multi-Group Comparison," Sustainability, MDPI, vol. 7(5), pages 1-34, May.
    3. Roelich, Katy & Knoeri, Christof & Steinberger, Julia K. & Varga, Liz & Blythe, Phil T. & Butler, David & Gupta, Rajat & Harrison, Gareth P. & Martin, Chris & Purnell, Phil, 2015. "Towards resource-efficient and service-oriented integrated infrastructure operation," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 40-52.

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