Potential Changes in Value of Travel Time as a Result of Vehicle Automation: a Case Study in the Netherlands

It is widely believed that fully-automated vehicles (AVs) will be part of transportation systems in the foreseeable future. Technological developments are rapidly speeding up their adoption as an increasing number of car manufacturers and research centers join efforts to develop AVs. However, at present, there are numerous important knowledge gaps that need to be solved, in particular regarding the impacts of AVs on travel demand and, more broadly, on mobility. For instance, full automation will enable passengers to perform other, non-driving, related tasks while traveling to their destination. This may substantially change the way in which passengers experience traveling by car, and, in turn, may lead to considerable changes in the so-called Value-of-Travel Time (VOTT). Experts expect VOTT to decrease substantially due to AVs. However, the extent to which VOTT will get lower is currently far from clear. This study aims to develop new insights on the impacts of full AVs on the VOTT for commute trips. To do so, the authors estimate discrete choice models based on data obtained from a novel Stated Preference (SP) survey data, specifically designed and administered for this purpose. In total the authors collected data from 252 respondents. They find the VOTT for an AV with an office interior (6.26€/h) to be lower than the VOTT for the conventional car (8.37€/h). The VOTT for the conventional car is quite close to the official Dutch VOTT, providing support for the reliability of the authors' results.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ABC10 Standing Committee on Strategic Management.
• Authors:
  • de Looff, Erwin
  • Correia, Gonçalo Homem de Almeida
  • van Cranenburgh, Sander
  • Snelder, Maaike
  • van Arem, Bart
• Conference:
  • Transportation Research Board 97th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2018-1-7 to 2018-1-11
• Date: 2018

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 14p

Subject/Index Terms

• TRT Terms: Case studies; Choice models; Intelligent vehicles; Travel time; Value of time
• Geographic Terms: Netherlands
• Subject Areas: Highways; Operations and Traffic Management; Planning and Forecasting;

Filing Info

• Accession Number: 01660393
• Record Type: Publication
• Report/Paper Numbers: 18-03109
• Files: TRIS, TRB, ATRI
• Created Date: Feb 20 2018 9:28AM