URBY.SENSE - Urban mobility analysis and prediction for non-routine scenarios using digital footprints

Authors

Abstract

The concept of sustainable mobility involves the consideration of transport dimensions that are not strictly limited to the field of energy in transport and its impacts on the environment: mobility must be understood as the mode and frequency with which people move to satisfy their several needs – which range from "mandatory" (work/school) to optional/non-routine (leisure, social, etc.). Usually, transport supply design criteria require satisfying the highest demand hours, typically occurring during the work commute. Providing quality public transportation services may be extremely expensive when demand is low, variable and unpredictable. Understanding personal travel patterns and modelling travel demand is essential to plan sustainable urban transportation systems to fulfil citizens’ mobility needs.
In this project we propose to study individual’s mobility for mining non-routine (leisure, social, etc.) mobility patterns from multiple data sources. The following mobility patterns are of great interest: locations of significance, modes of transport, trajectory patterns and location-based activities for destination choice modelling.

Keywords

Digital footprints, Points of interest, Demand modeling, Destination choice modeling.

Subject

Urban mobility

Related Project

URBY.SENSE - Urban mobility analysis and prediction for non-routine scenarios using digital footprints. PTDC/ECM-TRA/6803/2014

Conference

GET2017 - 14. Encontro Annual do Grupo de Estudos em Transportes, February 2017