Work

Predicting socio-economic well-being using mobile apps data: a case study of France

Year: 2025

Type: article

Source: Journal of Computational Social Science

DOI: 10.1007/s42001-025-00404-9

Authors: Rahul Goel, Angelo Furno, Rajesh Sharma

Institutions: University of Tartu, Laboratoire d'Ingénierie Circulation Transports, École Nationale des Travaux Publics de l'État, Emob-Lab, Plaksha University

Language: English

Topic: Human Mobility and Location-Based Analysis

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

SDG: Reduced inequalities

Open Access status: green

Funders: Agence Nationale de la Recherche, Horizon 2020 Framework Programme, H2020 European Research Council

Awards: Platform for Resilient Multi-modal Mobility via Multi-layer Networks & Real-time Big-Data Processing, G3010527862, G4656594441, G495187929, G5880405665, Identification of critical situations based on multi-source data for real time real time warning, G899169222

OpenAlex ID: W4413846240

FWCI: 1.513

Cites: 33

Cited by: 2

Related to: 10