Carpooling, i.e., the act where two or more travelers share the same car for a common trip, is one of the possibilities brought forward to reduce traffic and its externalities, but experience shows that it is difficult to boost the adoption of carpooling to significant levels. In our study, we analyze the potential impact of carpooling as a collective phenomenon emerging from people’s mobility, by network analytics. Based on big mobility data from travelers in a given territory, we construct the network of potential carpooling, where nodes correspond to the users and links to possible shared trips, and analyze the structural and topological properties of this network, such as network communities and node ranking, to the purpose of highlighting the subpopulations with higher chances to create a carpooling community, and the propensity of users to be either drivers or passengers in a shared car. Our study is anchored to reality thanks to a large mobility dataset, consisting of the complete one-month-long GPS trajectories of approx. 10% circulating cars in Tuscany. We also analyze the aggregated outcome of carpooling by means of empirical simulations, showing how an assignment policy exploiting the network analytic concepts of communities and node rankings minimizes the number of single occupancy vehicles observed after carpooling.

Data and Resources
To access the resources you must log in
  • CarPoolingPDF

    The resource: 'CarPooling' is not accessible as guest user. You must login to access it!
  • CarPooling - source codeZIP

    The resource: 'CarPooling - source code' is not accessible as guest user. You must login to access it!
Additional Info
Field Value
Accessibility Both
AccessibilityMode Download
Availability On-Line
Basic rights Download
CreationDate 2015-12-01
Creator Trasarti, Roberto,
Field/Scope of use Non-commercial only
Owner trasarti, roberto,
Sublicense rights No
Territory of use World Wide
ThematicCluster Human Mobility Analytics
UsageMode Download
system:type Method
Management Info
Field Value
Author Trasarti Roberto
Maintainer Trasarti Roberto
Version 1
Last Updated 26 September 2019, 12:28 (CEST)
Created 26 September 2019, 12:28 (CEST)