Cycling is all the rage, whether as a sport, a weekend pastime or a daily commuting choice.
As smartphone usage becomes the norm, with both quick news and long-form journalism the commuting choice for many – especially the young – a widespread openness to fiction may be fading.
To attract and retain them in a region, it is necessary to have a better understanding of their fundamental spatially-related behaviors including residence, workplace, and commute choices.
In this study, we depart from a perspective of knowledge typology (analytical-synthetic-symbolic knowledge base) to investigate the heterogeneity of knowledge workers' residence, workplace, and commute choices.
The results of the survey show that low-carbon knowledge and low-carbon habits have direct influence on commuting mode choice, and low-carbon knowledge and instrumental factor are two strongest predictors affecting the choice of commuting mode.
The objective of this paper was to investigate potential impacts of implementing variable congestion charging on driver's daily commute choice.
This paper uses state of the art stated choice designs to parameterise modal choice models for commuting and non-commuting travel futures in the presence of new public transport infrastructure (variations of new heavy rail, light rail and dedicated busway systems).
The aim is to explain the origin of these errors by including elements of travel behaviour (e.g., activities during the trip), which have been shown to significantly affect mode choices and commuting satisfaction.
In this study, we were interested in travel mode choices for commuting i.e., travel between one's place of residence and place of work (or study), which accounts for a large portion of all person trips.
With cycling becoming the top choice for commuting for many, the number of adults learning how to cycle has increased.
