, ,
Book of short papers of the ASA Rome Conference – Measuring and Interpreting World Changes with Statistics, Data Science and AI, Supplement to Volume 37/2
Roma, 18-20 settembre 2024
Introduction
Today, vast amounts of data from mobile operators, floating car data (FCD), traffic loops, public transport ticketing, and GPS apps generate valuable insights for decision-makers in urban planning, tourism, and sustainable mobility. This presentation showcases applications where anonymized big data – telecommunications, FCD, and GPS – complement official statistics to analyze urban presence and mobility. These insights help quantify visitor patterns, transport preferences, traffic congestion, trip lengths, and more. In urban planning, mobility data reveal commuting patterns, peak traffic times, and public transport usage, aiding infrastructure optimization. In tourism, visitor flow analysis improves resource allocation and enhances experiences. In sustainable mobility, data-driven insights help reduce congestion and promote eco-friendly transport. Finally, advancements in large language models (LLMs), such as OpenAI’s GPT, Google’s Gemini, and Meta’s Llama, enable intuitive data analysis beyond SQL queries and dashboards. We will explore how these technologies make insights accessible to a broader audience, including nontechnical users. The presentation is organized as follows: Section 2 is dedicated to tourism, Section 3 to the analysis of civil aviation, Section 4 to the study of mobility, and Section 5 to our approach to using AI and Generative AI.