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Measuring and Explaining the Increase of Travel Distance: A Multilevel Analysis Using Repeated Cross Sectional Travel Surveys

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  • Oliver Lipps
  • Uwe Kunert

Abstract

Structural and behavioural factors drive the growth and change of spatial mobility in the industrialised countries: on the macro level we have observed tremendous increases in travel demand as measured by person miles travelled. This paper studies this development of mobility of tripmaking adult persons on working days by analysing micro data as it is provided by the four National Travel Surveys (NTS) that were conducted in Germany since the mid seventies. In order to fully capture the context which determines individual behaviour, we account for the nested hierarchy of persons within households within spatial settings by using a multilevel modelling approach. In addition we investigate the prediction power of a few classic socio-demographic variables for the daily travel distance of individuals in the four data sets. We find that after controlling for the covariates considered, the total variance of daily travel distance decreases over time, this decrease stemming both from the INDIVIDUAL and the HOUSEHOLD level. We further find that traditional socio-demographic household and person characteristics diminish in importance to explain person mileage. Significance and amount of the variance components taken together indicate some AREA level effect and strong HOUSEHOLD level context effects on individual daily distance. Thus it is important to consider all conceptual levels which generate significant variation in the mobility indicator under study.

Suggested Citation

  • Oliver Lipps & Uwe Kunert, 2005. "Measuring and Explaining the Increase of Travel Distance: A Multilevel Analysis Using Repeated Cross Sectional Travel Surveys," Discussion Papers of DIW Berlin 492, DIW Berlin, German Institute for Economic Research.
  • Handle: RePEc:diw:diwwpp:dp492
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    Cited by:

    1. Jean-Pierre Nicolas & Damien Verry & Zahia Longuar, 2012. "Évolutions récentes des émissions de CO2 liées à la mobilité des Français : analyser les dynamiques à l'œuvre grâce aux enquêtes nationales Transports de 1994 et 2008," Post-Print halshs-01716169, HAL.
    2. Echeverría, Lucía & Giménez-Nadal, J. Ignacio & Alberto Molina, José, 2022. "Who uses green mobility? Exploring profiles in developed countries," Transportation Research Part A: Policy and Practice, Elsevier, vol. 163(C), pages 247-265.
    3. Kropp, Per & Schwengler, Barbara, 2017. "Stability of functional labour market regions," IAB-Discussion Paper 201721, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    4. Quaglione, Davide & Cassetta, Ernesto & Crociata, Alessandro & Marra, Alessandro & Sarra, Alessandro, 2019. "An assessment of the role of cultural capital on sustainable mobility behaviours: Conceptual framework and empirical evidence," Socio-Economic Planning Sciences, Elsevier, vol. 66(C), pages 24-34.
    5. Bueno, Paola Carolina & Gomez, Juan & Peters, Jonathan R. & Vassallo, Jose Manuel, 2017. "Understanding the effects of transit benefits on employees’ travel behavior: Evidence from the New York-New Jersey region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 99(C), pages 1-13.
    6. Jean-Pierre Nicolas & Damien Verry & Zahia Longuar, 2012. "Évolutions récentes des émissions de CO2 liées à la mobilité des Français : analyser les dynamiques à l’œuvre grâce aux enquêtes nationales Transports de 1994 et 2008," Économie et Statistique, Programme National Persée, vol. 457(1), pages 161-183.
    7. Buehler, Ralph, 2011. "Determinants of transport mode choice: a comparison of Germany and the USA," Journal of Transport Geography, Elsevier, vol. 19(4), pages 644-657.
    8. Wafic El-Assi & Catherine Morency & Eric J. Miller & Khandker Nurul Habib, 2020. "Investigating the capacity of continuous household travel surveys in capturing the temporal rhythms of travel demand," Transportation, Springer, vol. 47(4), pages 1787-1808, August.

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