Ride-sharing is often analysed by travel motivation, pricing, etc. However, the correspondences
between the number of trips and main variables (e.g. population, road type) have not
been revealed yet. Our purpose is to develop a model, based on Newton’s model of gravity
to describe these correspondences. With this model, it is possible to identify the
characteristic distance types and the relationship between location types. Our model
is trip and vehicle oriented. We identified the variables (such as socio-demographical
issues, alternate mobility solutions, etc.) influencing usage of ride-sharing services.
Based on the results, we have the opportunity to answer positioning problems of ride-sharing
as well as support vehicle and infrastructural investments.