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Walking, Cycling and Driving to Work in the English and Welsh 2011 Census: Trends, Socio-Economic Patterning and Relevance to Travel Behaviour in General

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  • Anna Goodman

Abstract

Objectives: Increasing walking and cycling, and reducing motorised transport, are health and environmental priorities. This paper examines levels and trends in the use of different commute modes in England and Wales, both overall and with respect to small-area deprivation. It also investigates whether commute modal share can serve as a proxy for travel behaviour more generally. Methods: 23.7 million adult commuters reported their usual main mode of travelling to work in the 2011 census in England and Wales; similar data were available for 1971–2001. Indices of Multiple Deprivation were used to characterise socio-economic patterning. The National Travel Survey (2002–2010) was used to examine correlations between commute modal share and modal share of total travel time. These correlations were calculated across 150 non-overlapping populations defined by region, year band and income. Results: Among commuters in 2011, 67.1% used private motorised transport as their usual main commute mode (−1.8 percentage-point change since 2001); 17.8% used public transport (+1.8% change); 10.9% walked (−0.1% change); and 3.1% cycled (+0.1% change). Walking and, to a marginal extent, cycling were more common among those from deprived areas, but these gradients had flattened over the previous decade to the point of having essentially disappeared for cycling. In the National Travel Survey, commute modal share and total modal share were reasonably highly correlated for private motorised transport (r = 0.94), public transport (r = 0.96), walking (r = 0.88 excluding London) and cycling (r = 0.77). Conclusions: England and Wales remain car-dependent, but the trends are slightly more encouraging. Unlike many health behaviours, it is more common for socio-economically disadvantaged groups to commute using physically active modes. This association is, however, weakening and may soon reverse for cycling. At a population level, commute modal share provides a reasonable proxy for broader travel patterns, enhancing the value of the census in characterising background trends and evaluating interventions.

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  • Anna Goodman, 2013. "Walking, Cycling and Driving to Work in the English and Welsh 2011 Census: Trends, Socio-Economic Patterning and Relevance to Travel Behaviour in General," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-11, August.
  • Handle: RePEc:plo:pone00:0071790
    DOI: 10.1371/journal.pone.0071790
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    References listed on IDEAS

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    1. Adam Millard‐Ball & Lee Schipper, 2011. "Are We Reaching Peak Travel? Trends in Passenger Transport in Eight Industrialized Countries," Transport Reviews, Taylor & Francis Journals, vol. 31(3), pages 357-378.
    2. Brand, Christian & Goodman, Anna & Rutter, Harry & Song, Yena & Ogilvie, David, 2013. "Associations of individual, household and environmental characteristics with carbon dioxide emissions from motorised passenger travel," Applied Energy, Elsevier, vol. 104(C), pages 158-169.
    3. Brand, Christian & Boardman, Brenda, 2008. "Taming of the few--The unequal distribution of greenhouse gas emissions from personal travel in the UK," Energy Policy, Elsevier, vol. 36(1), pages 224-238, January.
    4. John Parkin & Mark Wardman & Matthew Page, 2008. "Estimation of the determinants of bicycle mode share for the journey to work using census data," Transportation, Springer, vol. 35(1), pages 93-109, January.
    5. Goodman, Anna & Guell, Cornelia & Panter, Jenna & Jones, Natalia R. & Ogilvie, David, 2012. "Healthy travel and the socio-economic structure of car commuting in Cambridge, UK: A mixed-methods analysis," Social Science & Medicine, Elsevier, vol. 74(12), pages 1929-1938.
    6. Ribeiro, Suzana K & Kobayashi, Shigeki & Beuthe, Michel & Gasca, Jorge & Greene, David & Lee, David S. & Muromachi, Yasunori & Newton, Peter J. & Plotkin, Steven & Sperling, Daniel & Wit, Ron & Zhou, , 2007. "Transportation and its Infrastructure," Institute of Transportation Studies, Working Paper Series qt98m5t1rv, Institute of Transportation Studies, UC Davis.
    7. Metz, David, 2012. "Demographic determinants of daily travel demand," Transport Policy, Elsevier, vol. 21(C), pages 20-25.
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