Acceptance of car-reducing measures: observed factors and latent attitudes

Abstract

After COVID some employees can continue to work from home or at their work location. This hybrid way of working can impact transport demand and traffic conditions. Current models can not fully capture mobility patterns caused by hybrid working. We developed a dedicated latent class hybrid working model to predict which individuals will choose to WFH and how frequently they will WFH and integrated it into an activity-based model. We illustrate the potential of the model by simulating travel demand in a metropolitan region in the Netherlands. The results show that under some scenarios hybrid working can reduce mobility demand but under other scenarios these gains in work-home travel is lost by additional activities.