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Exploring the relationship between land-use system and travel behaviour - some first findings

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  • Veronique Van Acker

  • Frank Witlox

Abstract

Theories on the reciprocal relationship between land-use and transport address changes in locational decisions and travel behavior of private actors (households and firms) due to alternations in the transport system, respectively land-use system. Although the impact of land-use system on travel behaviour (transport system) has been the subject of much research (for reviews, see, e.g. Handy, 2002; Stead and Marshall, 2001; Crane, 2000; Wegener and Fürst, 1999), there is still no consensus about the strength of this relationship. This may be caused by different types of variables whether or not included in the research. Initially only land-use variables were taken into account, but nowadays socio-economical variables are also incorporated. Still, within ‘homogeneous groups’, there may be attitudes, lifestyles, perceptions, and preferences which can have an impact on land-use and/or travel behaviour. Academic literature on the latter remains scarce and the main focus of the existing behavioural literature is the impact of residential location on travel choices, especially modal choice. However, little work has thus far been done on other dimensions of travel choices (e.g., distance, time) and other location types (e.g., commercial, industrial, recreational). Less is known about the reverse relationship, e.g. the impact of the transport system on location decisions of households and firms (land-use system). A difference in time-scale can be the reason for this. Transformations in land-use occur much slower (years) compared to transformations in travel behaviour (days, weeks, months). In this paper we explore several possibilities to fill in some of the gaps in our knowledge on the land-use/transport system. Understanding the two-way interaction between land-use and travel behaviour involves having (i) data on land-use patterns, socio-economic background of individuals and their attitudes, perceptions and preferences towards land-use and travel; and (ii) a methodology, dealing with potential multiple directions of causality. The first issue can be achieved by combining empirical, revealed and stated preference research. The second methodological question can be solved using structural equation modelling (SEM). This is a modelling technique which can handle a large number of endogenous and exogenous variables. Because of the multiple directions of causality that can be explored, SEM can help us to define the relationship between revealed preference data and stated preference data.

Suggested Citation

  • Veronique Van Acker & Frank Witlox, 2005. "Exploring the relationship between land-use system and travel behaviour - some first findings," ERSA conference papers ersa05p601, European Regional Science Association.
  • Handle: RePEc:wiw:wiwrsa:ersa05p601
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    References listed on IDEAS

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    1. Golob, Thomas F., 2003. "Structural equation modeling for travel behavior research," Transportation Research Part B: Methodological, Elsevier, vol. 37(1), pages 1-25, January.
    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. repec:cdl:uctcwp:qt5hh713d6 is not listed on IDEAS
    4. 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.
    5. Gordon, Peter & Kumar, Ajay & Richardson, Harry W., 1989. "The influence of metropolitan spatial structure on commuting time," Journal of Urban Economics, Elsevier, vol. 26(2), pages 138-151, September.
    6. Brian A. Mikelbank, 2004. "Spatial analysis of the relationship between housing values and investments in transportation infrastructure," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 38(4), pages 705-726, December.
    7. E I Pas, 1984. "The Effect of Selected Sociodemographic Characteristics on Daily Travel-Activity Behavior," Environment and Planning A, , vol. 16(5), pages 571-581, May.
    8. repec:cdl:uctcwp:qt7cx951n5 is not listed on IDEAS
    9. repec:cdl:uctcwp:qt95h07239 is not listed on IDEAS
    10. Bruinsma, Frank R., 1997. "The impact of accessibility on the valuation of cities as location for firms," Serie Research Memoranda 0006, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    11. Genevieve Giuliano & Kenneth A. Small, 1993. "Is the Journey to Work Explained by Urban Structure?," Urban Studies, Urban Studies Journal Limited, vol. 30(9), pages 1485-1500, November.
    12. repec:cdl:uctcwp:qt4nq9r1c9 is not listed on IDEAS
    13. Kieran Donaghy & Georg Rudinger & Stefan Poppelreuter, 2004. "Societal trends, mobility behaviour and sustainable transport in Europe and North America," Transport Reviews, Taylor & Francis Journals, vol. 24(6), pages 679-690, August.
    14. Tim Schwanen, 2002. "Urban form and commuting behaviour: a cross‐European perspective," Tijdschrift voor Economische en Sociale Geografie, Royal Dutch Geographical Society KNAG, vol. 93(3), pages 336-343, August.
    15. repec:cdl:uctcwp:qt2ss7x5b1 is not listed on IDEAS
    16. repec:cdl:itsdav:qt1z26n1r8 is not listed on IDEAS
    17. Michael Wegener & Franz Fuerst, 2004. "Land-Use Transport Interaction: State of the Art," Urban/Regional 0409005, University Library of Munich, Germany.
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    4. Urbi Banerjee & Julian Hine, 2016. "Interpreting the influence of urban form on household car travel using partial least squares structural equation modelling: some evidence from Northern Ireland," Transportation Planning and Technology, Taylor & Francis Journals, vol. 39(1), pages 24-44, February.

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