Longitudinal Analysis of Car Ownership and Car Travel Demand in Paris Metropolitan Area Using a Pseudo-panel Data Approach

Longitudinal data offer the advantage to distinguish life-cycle and generation effects which is not possible with cross sectional data (one period). These data are also useful for long run income or price elasticities. For a longitudinal analysis, two sorts of data are commonly used: true panel data which follow the same individuals over time and time-series aggregate data constituted of relatively large groups of individuals aggregated generally at national or regional level. However these data have some constraints. Panel data are often not available over a long period of time while time-series aggregate data covers long periods of time but lack of individual information. An alternative is to create pseudo panel data constructed from repeated independent cross-sectional data which enable to follow groups of individuals changing over time but sharing time-invariant characteristics. The authors propose a longitudinal analysis of car ownership and car travel demand in order to identify their determinants. The authors also question the influence of economic and geographical factors as well as the influence of life-cycle and of generations. More precisely, the research is seen from an inequality point of view. The authors determine income and price elasticities of demand distinguishing different residential locations and income groups. Thus, the objective is to exhibit contrasted reactions of different categories of households over time. This approach enables also to interrogate the hypothesis of the saturation of demand and in particular the potential decorrelation of car ownership and use from economic variables (income, fuel price). A pseudo panel data is created in Paris metropolitan area using the ‘Enquête Globale Transport’ surveys from 1976 to 2010 to estimate car ownership and car travel demand with a semi-log model. In the next section, the authors introduce the construction process of pseudo panel data and the applications in transport field. In section 3, the Parisian context of car ownership and travel is presented. Then, the authors set out the data and the modelling used in section 4. The estimation results are discussed in section 5.

• Record URL:
  https://doi.org/10.1016/j.trpro.2016.05.007
• Record URL:
  https://aetransport.org/past-etc-papers/conference-papers-2015
• Supplemental Notes:
  • Abstract used by permission of Association for European Transport. This paper was also published in Transportation Research Procedia, volume 13 (2016) as "Longitudinal Analysis of Car Ownership and Car Travel Demand in the Paris Region using a Pseudo-panel Data Approach."
• Corporate Authors:

  Association for European Transport (AET)

  1 Vernon Mews, Vernon Street, West Kensington
  London W14 0RL,    
• Authors:
  • Cornut, Benoît
• Conference:
  • European Transport Conference 2015
  • Location: Frankfurt , Germany
  • Date: 2015-9-28 to 2015-9-30
• Publication Date: 2015

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 13p
• Monograph Title: European Transport Conference 2015: Strands

Subject/Index Terms

• TRT Terms: Alternatives analysis; Automobile ownership; Automobile travel; Elasticity (Economics); Households; Income; Life cycle costing; Residential location; Travel demand
• Geographic Terms: Paris (France)
• Subject Areas: Data and Information Technology; Economics; Highways; Planning and Forecasting; I72: Traffic and Transport Planning;

Filing Info

• Accession Number: 01578853
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 23 2015 9:28AM