The economics of trip scheduling, travel time variability and traffic information

An efficient and reliable transport system is crucial for the functioning of modern economies, as it gives people as well as firms the possibility to engage in different activities at different locations. Passenger transport, for instance, enables people to choose residential locations that are different from their work locations. The large extent to which people make use of this possibility gives rise to the well-known phenomenon of traffic congestion. This dissertation tries to achieve a better understanding of scheduling choices individuals make in the face of congestion. From disaggregate data on departure time and travel routine choices, the travelers’ willingness to pay for reducing recurrent and non-recurrent congestion is estimated. Understanding travel behavior at the level of the individual, rather than at a more aggregate (e.g. network) level facilitates more precise predictions of travelers’ responses to transport policies, and thus more accurate policy appraisals. Throughout the dissertation the role of traffic information is emphasized. So, it affects the distinction between recurrent and non-recurrent congestion, the travelers’ valuation of travel time and trip timing aspects, as well as optimal road pricing schemes.

• Record URL:
  http://hdl.handle.net/1871/40171
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9789036103510
• Supplemental Notes:
  • Doctoral thesis
• Authors:
  • Peer, S
• Publication Date: 2013-4

Language

• English

Media Info

• Pagination: 166p
• Serial:
  • Issue Number: 558

Subject/Index Terms

• TRT Terms: Departure time; Route choice; Scheduling; Traffic congestion; Travel behavior; Traveler information and communication systems; Value of time
• ATRI Terms: Departure time; Route choice; Scheduling; Traffic congestion; Travel behaviour; Travel information; Value of time
• Subject Areas: Society;

Filing Info

• Accession Number: 01485969
• Record Type: Publication
• Source Agency: ARRB
• ISBN: 9789036103510
• Files: ATRI
• Created Date: Jul 9 2013 10:32AM