Decisions in transport planning are often related to substantial financial consequences that reach far into the future. Reliable methods for the ex-ante assessment and the ex-post monitoring of the planned measures’ expected impacts are a prerequisite for using available resources efficiently. We apply and advance existing assessment methods with the goal to find for each application the balance between the needed level of detail and the costs for the assessment. We work on advancing individual indicators such as the health impacts of cycling and walking as well as on developing methods for synthesizing the indicators for final assessment further.
Travel time savings are a key criterion for the evaluation of infrastructure investments. The current methods for the evaluation of travel times neglect the fact that (i) a part of the saved travel time is ploughed back into travelling, (ii) the travel time savings are often below the threshold of perception, and (iii) there are inconsistencies between different methods of assessment. In this project, a new method for surveying, modeling of valuation of travel time is to be developed, which takes into account the times assigned to travel and non-travel activities. The revealed preferences are measured using a novel mobility-activities-diary. The measurement of stated responses to changes in travel times takes a wide range of reactions into account in order to understand and model the changes in the activity patterns from a holistic point of view. The main results of the project are (i) new methods for mobility-activity surveys, (ii) the first-time modeling and evaluation of travel times on the basis of explicitly collected data for this purpose, and (iii) measure-sensitive models for describing activity patterns.