Examining the spatial and social implications of ridesharing networks

Project description: 

Societies today are interminably underpinned by various types of mobility. Ridesharing and carpooling is one substantial mode that not only provide cost benefits and increased travel options, it can reduce congestion, decrease gas emission and increase social equity.  In recent years, ridesharing has experienced revived popularity due to the technological advancement and Web enabled services (Blablacar, UberPool, Lyft, Flinc, Wündercar). In this project, you need to investigate the effect of these dynamic rideshare networks on experiences of space and place, and how do these experiences relate to issues of social inclusion and exclusion. We would be interested in cross-cultural comparison, and hence your approach could be: to identify the popular ridesharing services in your region, observe/extract the attributes available on Web platforms (for a day or two), analyze the patterns and discuss a conceptual model.

Required skills: Background in Social sciences/Web mining/geosciences/sharing economy. Programming skills for Web extraction, visualization, and analysis would be helpful for computational approach – but not mandatory for participation.