High quality, reliable data and robust models are central to the development and appraisal
of transportation planning and policy. Although conventional data may offer good 'content', it …

We use state-of-the art estimation approaches to obtain mode-specific values of travel time
savings (VTTS) based on pooled RP/SP travel choice data of Zurich workers. Unlike the …

Being of great importance for transportation policy appraisals, we investigate mode and user-
type effects in the value of travel time savings (VTTS) using a pooled RP/SP Mixed Logit …

Based on a time-use model with a sound theoretical basis and carefully collected data for
Austria, the value of leisure (VoL) for different population segments has been estimated …

Time-use surveys provide useful data for travel analyses. However, the survey on time use
and leisure activities (TULA) Questionnaire A, a representative time-use survey in Japan …

We propose a methodology for using the records from Wi-Fi packet sensors to model route
choice and time spent at different locations within a tourist area. In contrast to other route …

Abstract High pre-World-War-2 modal shares of cycling in European countries sharply
decreased during the post-war decades. In the 1990s, European governments introduced …

Abstract Google Popular Times (GPT) data are a novel data source that is open to the public,
accessible in real time and available in many cities around the world. We aim to explain and …

This paper presents the joint time-use, expenditure and mode choice model, based on the
theoretical framework of Jara-Díaz and Guevara (2003), for the first time estimated in panel …

In mobility panels, respondents may use a strategy of soft-refusal to lower their response
burden, eg by claiming they did not leave their house even though they actually did. Soft …