Modeling and forecasting traffic flows with mobile phone big data in flooding risk areas to support a data-driven decision making

DOI10.1007/s10479-023-05195-8MaRDI QIDQ6666710

Maurizio Carpita, Rodolfo Metulini

Publication date: 20 January 2025

Published in: Annals of Operations Research (Search for Journal in Brave)

zbMATH Keywords

forecastingmobilityexposure riskdynamic harmonic regressionVARX models

Mathematics Subject Classification ID

Statistics (62-XX) Inference from stochastic processes (62Mxx) Multivariate analysis (62Hxx)

Related Items (1)

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

Cites Work

• A note on the validity of cross-validation for evaluating autoregressive time series prediction
• Distribution of the Estimators for Autoregressive Time Series With a Unit Root
• On a measure of lack of fit in time series models
• An Introduction to Statistical Learning
• Geographically weighted generalized Farrington algorithm for rapid outbreak detection over short data accumulation periods
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Modeling and forecasting traffic flows with mobile phone big data in flooding risk areas to support a data-driven decision making