Shedding light on the psychological and behavioral determinants of travel mode choice: A meta-analysis

Mobility represents a relevant topic from the standpoint of environmental degradation, health-related consequences and social inclusion. Since private mobility is responsible for the greatest share of polluting emissions, it is necessary to gain deeper understanding of the mechanisms underpinning the choice of individuals to use either cars or alternative, environment-friendly transport modes. A meta-analysis on 58 primary studies is conducted to synthesize evidence on the determinants of travel mode choice, as regards both behavioral intentions and actual behaviors. Results suggest that, besides intentions, habits and past use represent the most relevant predictor, followed by constructs referring to the Theory of Planned Behavior framework. Environmental variables, on the other hand, play a relevant role in shaping behavioral intentions while their effect on actual behaviors is negligible, so that a deep intention behavior gap emerges. A moderator analysis is performed to explain the high heterogeneity in the results. Behaviors’ operationalization and measurement emerges as the moderator affecting heterogeneity of outcomes the most; trip purpose, sample type and year of the study also show a moderate effect on heterogeneity, while location does not appear to be a relevant moderator

Analysing mobility biographies with the life course calendar: A retrospective survey methodology for longitudinal data collection

Transportation research is in need of longitudinal data to better understand travel behaviour. This paper describes a new survey method to collect longitudinal data, called the life course calendar. We discuss the need for and the uses of this instrument with reference to specific case study material and explore to what extent the life course calendar is suitable for the study of individual life courses and travel behaviour. In the first part of this article we give an overview of current research on the causal relationships between certain life events and travel behaviour. Based on the outcomes of the literature review we analyse life course calendars of 646 respondents. Considering the explorative character of our case study material the results are quite promising. Most notably information on car purchases, on relocations, and changes of the work place has been well recorded which indicates that the life course calendar is suited for the study of changes of spatial contexts and accessibility. The data analysis has provided initial results on the distribution of key events over the life course and on the relation of such events to changes in travel behaviour. Significant effects were found for key events such as relocation, change of job, birth of first child, separation/divorce, moving in with partner and retirement. The life course calendar can be advantageous, especially if it is employed to supplement extensive panel studies

TimeUse+: A multi-layered travel and time-use diary format

The latest travel behavior modelling frameworks consider travel decisions as part of a general time- and expenditure allocation problem. Their estimation consequently not only relies on large amounts of travel data, but also on information about time-use and expenditure allocation patterns. We present the TimeUse+ Platform, a novel data collection method based on state-of-the-art GPS-tracking technology. Our approach combines a travel and a time-use diary format into one comprehensive survey design. This multi-layered diary format allows to collect more accurate and complete data when compared to previous work which is solely based on traditional paper-based survey methods. This paper gives a detailed overview about the main components of the TimeUse+ Platform. We derive requirements from the current state in smartphone-based survey methods and travel behavior modelling, and show how the different design aspects of our solution fulfill those