Promoting commute active modes during the covid-19 pandemic. What is the role of multimodal travel mode choices?

This study aims at studying the effects of the Covid-19 pandemic on university commute mode choices and identifying the drivers to change usual transport means to reach college destinations. The data were collected by the Italian Network of Universities for Sustainable Development in 2020. Respondents were asked about their own propensity to switch to active commuting avoiding any other multimodal motorized modes and considering two alternative scenarios (optimistic or pessimistic) concerning the potential risk of contagion. After having identified four latent factors (related to, monetary incentives to bike commuting and psychological aspects of pro-ecological attitudes are detected), the result of a logit model suggested rather straightforward policy drivers, i.e., investing into the quality and safety of routes for walking/cycling, incentives for cycling, and the creation of an eco-friendly environment, where university users feel part of a greener community

University commuting during the COVID-19 pandemic: Changes in travel behaviour and mode preferences

One prominent change induced by the COVID-19 pandemic concerns the worldwide use of public transportation for commuting purposes. This study focused on university commuting in Italy by examining the propensity to change transport modes under different infection risk scenarios. Data were collected in 2020 through an online survey of college mobility conducted by the Italian University Network for Sustainable Development. Asking the respondents to consider both a pessimistic and an optimistic scenario, with respect to the risk odds of being infected, we followed a two-step approach to study the prospective travel habits of college users. First, we tested a logit model to estimate the propensity to abandon one's pre-COVID-19 commuting mode. Then, we investigated the factors influencing the choice of switching from public transportation to either cars or active modes by estimating a multinomial logit model. By exploiting the novelty of considering two risk scenarios, this study highlighted that, especially in the pessimistic case, the change to active modes was constrained by spatial aspects in favour of motorized vehicles. From a policy perspective, this COVID-19-based natural experiment advocates transportation authorities taking effective actions to ensure that, in case of emergencies, a modal shift would not benefit more-polluting transport means