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Modal Shift of Passenger Transport in a TIMES Model: Application to Ireland and California

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Informing Energy and Climate Policies Using Energy Systems Models

Part of the book series: Lecture Notes in Energy ((LNEN,volume 30))

Abstract

Climate change mitigation clearly requires a focus on transport that should include improved representation of travel behaviour change in addition to increased vehicle efficiency and low-carbon fuels. Energy system models focus however on technology and fuel switching and tend to poorly incorporate travel behaviour. Conversely, transport demand modelling generally fails to address energy and climate policy trade-offs. This chapter seeks to make energy systems analysis more holistic by introducing modal choice within passenger transport in a TIMES model, to allow trade-offs between behaviour and technology choices explicit. Travel demand in TIMES models is typically exogenous—no competition exists between alternative modes. A simple illustrative TIMES model is described, where competition between modes is enabled by imposing a constraint on overall travel time in the system. This constraint represents the empirically observed travel time budget of individuals, constraining the model choosing between faster and more expensive modes (e.g. cars) and slower but cheaper mode (e.g. buses or rail). Further, a new variable is introduced, called travel time investment, which acts as a proxy for infrastructure investments to reduce the time associated with travel, to enable investment in alternative modes of transport as a means of CO2 mitigation.

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References

  • Åkerman J, Höjer M (2006) How much transport can the climate stand?—Sweden on a sustainable path in 2050. Energy Policy 34(14):1944–1957. doi:10.1016/j.enpol.2005.02.009

  • Bristow AL, Tight M, Pridmore A, May AD (2008) Developing pathways to low carbon land-based passenger transport in Great Britain by 2050. Energy Policy 36(9):3427–3435. doi:10.1016/j.enpol.2008.04.029

  • California Department of Transportation (2013) 2010–2012 California Household Travel Survey Final Report

    Google Scholar 

  • Central Statistics Office (2011) National travel survey. Central Statistics Office, Information Section, Skehard Road, Cork, Ireland

    Google Scholar 

  • Chiodi A, Gargiulo M, Deane JP, Lavigne D, Rout UK, Gallachóir BPÓ (2013) Modelling the impacts of challenging 2020 non-ETS GHG emissions reduction targets on Ireland’s energy system. Energy Policy 62:1438–1452

    Article  Google Scholar 

  • CSO (2008) Transport omnibus. Central Statistics Office, Information Section, Skehard Road, Cork, Ireland

    Google Scholar 

  • Daly HE, Gallachóir BPÓ (2011) Modelling private car energy demand using a technological car stock model. Transp Res Part D Transp Environ 16(2):93–101

    Article  Google Scholar 

  • Daly HE, Ramea K, Chiodi A, Yeh S, Gargiulo M, Gallachóir BÓ (2014) Incorporating travel behaviour and travel time into TIMES energy system models. Applied Energy 135(0):429–439. doi:10.1016/j.apenergy.2014.08.051

  • de Dios Ortúzar J, Willumsen LG (2001) Modelling transport, 3rd edn. Wiley, New York

    Google Scholar 

  • Fulton L, Cazzola P, Cuenot Fß (2009) IEA Mobility Model (MoMo) and its use in the ETP 2008. Energy Policy 37(10):3758–3768

    Article  Google Scholar 

  • Girod B, van Vuuren DP, Deetman S (2012) Global travel within the 2C climate target. Energy Policy 45:152–166

    Article  Google Scholar 

  • Hickman R, Banister D (2007) Looking over the horizon: transport and reduced CO2 emissions in the UK by 2030. Transp Policy 14(5):377–387

    Article  Google Scholar 

  • Horne M, Jaccard M, Tiedemann K (2005) Improving behavioral realism in hybrid energy-economy models using discrete choice studies of personal transportation decisions. Energy Econ 27(1):59–77

    Article  Google Scholar 

  • IEA (2010) World energy outlook 2010. International Energy Agency, Paris

    Google Scholar 

  • IEA (2012) Energy technology perspectives. International Energy Agency, Paris

    Google Scholar 

  • Johansson B (2009) Will restrictions on CO2 emissions require reductions in transport demand? Energy Policy 37(8):3212–3220

    Article  Google Scholar 

  • Kockelman KM (1997) Travel behavior as function of accessibility, land use mixing, and land use balance: evidence from San Francisco Bay Area. Trans Res Rec J Trans Res Board 1607(1):116–125

    Article  Google Scholar 

  • Kyle P, Kim SH (2011) Long-term implications of alternative light-duty vehicle technologies for global greenhouse gas emissions and primary energy demands. Energy Policy 39(5):3012–3024. doi:10.1016/j.enpol.2011.03.016

  • McCollum D, Yang C, Yeh S, Ogden J (2012) Deep greenhouse gas reduction scenarios for California—strategic implications from the CA-TIMES energy-economic systems model. Energy Strat Rev 1(1):19–32. doi:10.1016/j.esr.2011.12.003

    Article  Google Scholar 

  • Metz D (2010) Saturation of demand for daily travel. Trans Rev 30(5):659–674

    Article  MathSciNet  Google Scholar 

  • Noland RB, Lem LL (2002) A review of the evidence for induced travel and changes in transportation and environmental policy in the US and the UK. Trans Res Part D Trans Environ 7(1):1–26

    Article  Google Scholar 

  • Pietzcker RC, Longden T, Chen W, Fu S, Kriegler E, Kyle P, Luderer G (2014) Long-term transport energy demand and climate policy: alternative visions on transport decarbonization in energy-economy models. Energy 64(0):95–108. doi:10.1016/j.energy.2013.08.059

  • Schafer A (2012) Introducing behavioral change in transportation into energy/economy/environment models. Draft Report for “Green Development” Knowledge Assessment of the World Bank

    Google Scholar 

  • Schafer A, Heywood JB (2009) Transportation in a climate constrained world. The MIT Press, Massachusetts

    Google Scholar 

  • Schafer A, Victor DG (2000) The future mobility of the world population. Trans Res Part A Policy Pract 34(3):171–205

    Article  Google Scholar 

  • Waisman H-D, Guivarch C, Lecocq F (2013) The transportation sector and low-carbon growth pathways: modelling urban, infrastructure, and spatial determinants of mobility. Clim Policy 13:106–129

    Article  Google Scholar 

  • Zahavi Y, Ryan JM (1980) Stability of travel components over time. Transportation Research Record (750). Trans Res Board. ISSN: 0361–1981  

    Google Scholar 

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Author information

Authors and Affiliations

  1. UCL Energy Institute, 14 Upper Woburn Place, London, WC1H 0NN, UK

    Hannah E. Daly

  2. Institute of Transport Studies, University of California, Davis, USA

    Kalai Ramea & Sonia Yeh

  3. Environmental Research Institute, University College Cork, Cork, Ireland

    Alessandro Chiodi & Brian Ó Gallachóir

  4. e4sma s.r.l., Turin, Italy

    Maurizio Gargiulo

Authors
  1. Hannah E. Daly
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  2. Kalai Ramea
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  3. Alessandro Chiodi
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  4. Sonia Yeh
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  5. Maurizio Gargiulo
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  6. Brian Ó Gallachóir
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Corresponding author

Correspondence to Hannah E. Daly .

Editor information

Editors and Affiliations

  1. Laboratory for Energy Systems Analysis, Center for Renewable Energy Sources, Pikermi, Attiki, Greece

    George Giannakidis

  2. Eneris Environment Energy Consultan, Madrid, Spain

    Maryse Labriet

  3. University College Cork, Cork, Ireland

    Brian Ó Gallachóir

  4. ETSAP Project Head, ASATREM, Rome, Italy

    GianCarlo Tosato

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Daly, H.E., Ramea, K., Chiodi, A., Yeh, S., Gargiulo, M., Ó Gallachóir, B. (2015). Modal Shift of Passenger Transport in a TIMES Model: Application to Ireland and California. In: Giannakidis, G., Labriet, M., Ó Gallachóir, B., Tosato, G. (eds) Informing Energy and Climate Policies Using Energy Systems Models. Lecture Notes in Energy, vol 30. Springer, Cham. https://doi.org/10.1007/978-3-319-16540-0_16

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  • DOI: https://doi.org/10.1007/978-3-319-16540-0_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16539-4

  • Online ISBN: 978-3-319-16540-0

  • eBook Packages: EnergyEnergy (R0)

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