Statistical indicators based on mobile phone and street maps data for risk management in small urban areas

DOI10.1007/s10260-023-00719-9MaRDI QIDQ6668612

Rodolfo Metulini, Maurizio Carpita, Selene Perazzini

Publication date: 22 January 2025

Published in: Statistical Methods and Applications (Search for Journal in Brave)

zbMATH Keywords

crowding indicatorminimization of drive test dataT-mode principal component analysistraffic indicator

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• The discriminative functional mixture model for a comparative analysis of bike sharing systems
• Understanding resident mobility in Milan through independent component analysis of Telecom Italia mobile usage data
• Analysis of spatio-temporal mobile phone data: a case study in the metropolitan area of Milan
• A proposal for handling missing data
• Model-based clustering for multivariate functional data
• Bridge closure in the road network of Lombardy: a spatio-temporal analysis of the socio-economic impacts
• Functional data clustering: a survey
• Model-Based Clustering and Classification for Data Science
• Modeling and forecasting traffic flows with mobile phone big data in flooding risk areas to support a data-driven decision making

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