An activity-based latent class modelling approach to assess the impact of hybrid working on travel demand in the Netherlands after COVID-19
conference paper
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 are lost by additional activities.
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 are lost by additional activities.
TNO Identifier
993159
Source title
Conference paper Heart 2023
Pages
1-11