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Induced travel demand: Evidence from a pseudo panel data based structural equations model

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  • Weis, Claude
  • Axhausen, Kay W.

Abstract

Induced traffic, defined as additional demand generated by improvements in travel conditions, has been a topic of research for many years. While previous studies have focused on specific and localised changes, the research described in this paper deals with the aggregate effects of changed generalised costs of travel on traffic generation: the propensity of participating in out-of-home activities on a given day, the number of trips and journeys conducted, and the resulting total times out-of-home and distances travelled. The generalised cost and accessibility elasticities estimated with a structural equations model for a pseudo panel constructed with the Swiss National Travel surveys since 1974 are surprisingly substantial even after correcting for age, cohort and other socio-demographic effects.

Suggested Citation

  • Weis, Claude & Axhausen, Kay W., 2009. "Induced travel demand: Evidence from a pseudo panel data based structural equations model," Research in Transportation Economics, Elsevier, vol. 25(1), pages 8-18.
  • Handle: RePEc:eee:retrec:v:25:y:2009:i:1:p:8-18
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    4. Susilo, Yusak & Liu, Chengxi & Börjesson, Maria, 2018. "The changes of activity-travel participation across gender, life-cycle, and generations in Sweden over 30 years," Working papers in Transport Economics 2018:8, CTS - Centre for Transport Studies Stockholm (KTH and VTI).
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    15. Ong, Felita & Loa, Patrick & Nurul Habib, Khandker, 2024. "Is it the trip or the trip-maker? Modelling factors influencing the demand induced by the availability of ride-sourcing services in Metro Vancouver," Transport Policy, Elsevier, vol. 151(C), pages 110-119.
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    17. Chi-Hong (Patrick) Tsai & Corinne Mulley & Geoffrey Clifton, 2014. "A Review of Pseudo Panel Data Approach in Estimating Short-run and Long-run Public Transport Demand Elasticities," Transport Reviews, Taylor & Francis Journals, vol. 34(1), pages 102-121, January.
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