Quantifying the Relation between Activity Pattern Complexity and Car Use Using a Partial Least Square Structural Equation Model

This paper studies the relationship between activity pattern complexity and car use using two multi-day surveys involving same participants but collected just before about one year after they relocated their workplace. Measurable characteristics related to latent variables, namely complexity, or trip chaining (e.g., number of activities done within outside home–work tour), usage rate, distance travelled by car) were selected. The study shows that methodology adopted, partial least square structural equation modelling, quantifies relation is robust towards changes in important contextual individuals, workplace location. findings indicate chained commuting travels strongly impact mode choice and, particular, use. also non-work-related has a stronger on results this suggest planning management solutions aimed at reducing use, focusing only while neglecting other daily activities, may be less effective than expected.