Microscopic Simulation-based Testing of Internal Boundary Control of Lane-free Automated Vehicle Traffic

Abstract

The decision of how many vehicles should a household have –if any– is likely to depend on life events that change the transport requirements of the household, such as the birth of a child, the change of employment status, a significant income variation, or a child moving out of the household to start living in another one. In this paper, we model changes in car ownership level as a function of socioeconomic individual and household attributes, as well as significant life events using a large sample of UK households sourced from the Understanding Society survey. We estimate a discrete choice model with specific parameters for increasing or decreasing car ownership levels and considering panel and dynamic effects. Results show that life events play a significant role in predicting car ownership levels, and that households are relatively stable over time in terms of car holdings.