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Value of travel time savings for passenger traffic: Perception and Distance dependency (SVI2005/007)

Project

Value of travel time savings for passenger traffic: Perception and Distance dependency (SVI2005/007)


Funding origin:
Switzerland
Switzerland
STRIA Roadmaps:
Network and traffic management systems (NTM)
Network and traffic management systems
Smart mobility and services (SMO)
Smart mobility and services
Transport mode:
Road
Road
Transport sectors:
Passenger transport
Passenger transport
Freight transport
Freight transport
Project website:
Duration:
Start date: 01/08/2006,
End date: 01/03/2011

Status: Finished
Funding details:

Overview

Background & policy context:

Recently, a number of studies has been conducted in Switzerland with the aim to evaluate the impacts of changes in travelling times. Despite similar methodical approaches, the resulting values of time differ significantly. Regarding this fact, questions arise concerning the interdependencies between values of time and other influence factors. Especially because the differences lead to inconsistencies in practical applications.

Objectives:

The project aims to derive a universal value of time based upon the existing data sets. The data sets originate from the following studies: Verification of forecasting methods of passenger transport (ICN-study), Time cost estimates for passenger services, Creation of a public transport traffic model for the Canton of Zurich, Inclusion of travel costs in the modeling of mobility behavior (research program Mobility Pricing).

By the means of a significant larger sample and a more detailed examination of the impacts of trip distances the reliability of the values of time are increased. In addition to the calculation of average values of time, it is aimed to estimate values of time for specific trip distance classes as well as a factor that describes the interdependency between value of time and the trip distance.

Methodology:

In the first step, a detailed analysis of the reviewed studies is carried out. The importance and credibility of individual data records should be checked for convergence and consistency.

At this point, the project should focus on two basic points:

  • What are the average values of all the databases available?
  • How can differences and dependence between the fair value and the travel distance be determined?

In the next step, all attempts are controlled and enhanced data sets are assembled and analyzed in accordance with the individual segments for the estimation of the model.

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