Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
Santiago de Chile has had to face a renewed wave of urban migration in the past few decades, placing mobility at the centre of many concerns. Whether social, economic or environmental, the impacts of mobility behaviour require further investigation, in order to contain or promote speci c aspects. This is the main motivation behind the present research, with a particular focus on the social consequences of mobility, while economic and environmental considerations are borne in mind throughout. To tackle this, the particular case of work-related High mobility that is long-duration commuting was studied on the grounds of the main travel survey in Chile, from 2012. The data collected in this campaign was critically analysed to develop a discrete choice model with both quantitative and qualitative variables. The resulting model proved well-dened, and further interpretations revealed the close interrelations between its constituent variables. This intrinsic nature observed reects the complexity of human decision-making, in particular with respect to mode choice, income and employment type when considering long-duration commuting. In the end, a possible use of the hybrid choice model developed would be to aid in evaluating transport and mobility policies with respect to their consequences on long-duration commuting practices and how these impact the goals set by the decisionmakers
, , , ,