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The Influence of the Residential Environment on Green-Space Travel: Testing the Compensation Hypothesis

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  • Kees Maat
  • Paul de Vries

Abstract

We investigated whether the use of parks and other green recreational facilities is influenced by the amount of green space around a dwelling and in the immediate neighbourhood. We paid particular attention to testing the compensation hypothesis, which states that people with less green space in their own residential environment are more likely to visit parks or nature reserves. The frequency of visits to green amenities was analyzed in relation to detailed spatial data based on sociodemographic variables. The findings indicated that, although people tend to make more use of green space if it is available in the vicinity, a brown (more urban) residential environment does not result in compensation behaviour. An explanation for this may be self-selection in the residential-choice process. It is conceivable, however, that some of the people who do not live in a green neighbourhood but would prefer to do so will move to a more suburban or rural environment.

Suggested Citation

  • Kees Maat & Paul de Vries, 2006. "The Influence of the Residential Environment on Green-Space Travel: Testing the Compensation Hypothesis," Environment and Planning A, , vol. 38(11), pages 2111-2127, November.
    • Handle: RePEc:sae:envira:v:38:y:2006:i:11:p:2111-2127
    DOI: 10.1068/a37448
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    References listed on IDEAS

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    1. Kees Maat, 2001. "Effects of the Dutch compact city policy on travel behaviour," Chapters, in: Eran Feitelson & Erik Verhoef (ed.), Transport and Environment, chapter 10, Edward Elgar Publishing.
    2. Mokhtarian, Patricia L. & Salomon, Ilan, 2001. "How derived is the demand for travel? Some conceptual and measurement considerations," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(8), pages 695-719, September.
    3. Patricia L. Mokhtarian & Michael N. Bagley, 2002. "The impact of residential neighborhood type on travel behavior: A structural equations modeling approach," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 36(2), pages 279-297.
    4. Michael N. Bagley & Patricia L. Mokhtarian & Ryuichi Kitamura, 2002. "A Methodology for the Disaggregate, Multidimensional Measurement of Residential Neighbourhood Type," Urban Studies, Urban Studies Journal Limited, vol. 39(4), pages 689-704, April.
    5. Eran Feitelson & Erik Verhoef (ed.), 2001. "Transport and Environment," Books, Edward Elgar Publishing, number 1780.
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    Cited by:

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    2. Czepkiewicz, Michał & Ottelin, Juudit & Ala-Mantila, Sanna & Heinonen, Jukka & Hasanzadeh, Kamyar & Kyttä, Marketta, 2018. "Urban structural and socioeconomic effects on local, national and international travel patterns and greenhouse gas emissions of young adults," Journal of Transport Geography, Elsevier, vol. 68(C), pages 130-141.
    3. López-Mosquera, Natalia & Sánchez, Mercedes, 2011. "The influence of personal values in the economic-use valuation of peri-urban green spaces: An application of the means-end chain theory," Tourism Management, Elsevier, vol. 32(4), pages 875-889.
    4. Brenda B. Lin & Jacqui Meyers & R. Matthew Beaty & Guy B. Barnett, 2016. "Urban Green Infrastructure Impacts on Climate Regulation Services in Sydney, Australia," Sustainability, MDPI, vol. 8(8), pages 1-13, August.
    5. Elizelle Juaneé Cilliers, 2019. "Reflecting on Green Infrastructure and Spatial Planning in Africa: The Complexities, Perceptions, and Way Forward," Sustainability, MDPI, vol. 11(2), pages 1-17, January.

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