Carpooling Network Analysis

Our method analyzes 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, the Never Drive Alone method is able to 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.

Data and Resources
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Additional Info
Field Value
Accessibility Both
AccessibilityMode OnLine Access
Attribution requirements
Availability On-Line
Basic rights Temporary download of a single copy only
CreationDate 2016-05-15
Creator Guidotti, Riccardo,
Dependencies on Other SW
Distribution requirements
External Identifier
Field/Scope of use Research only
Hosting Environment
License term
Owner Guidotti, Riccardo,
Paper Url
ProgrammingLanguage Python 2.7
RelatedPaper Never Drive Alone: Boosting Carpooling with Network Analysis
Requirement of non-disclosure (confidentiality mark)
Restrictions on use
Semantic Coverage
SoBigData Url
Sublicense rights No
Territory of use World Wide
ThematicCluster Human Mobility Analytics
UsageMode Download
input A table containing GPS trajectories in a postgres database.
output A table containing the carpooling network n a postgres database.
system:type Method
Management Info
Field Value
Author Guidotti Riccardo
Maintainer Guidotti Riccardo
Version 1
Last Updated 5 January 2021, 19:48 (CET)
Created 26 September 2019, 12:28 (CEST)