The HOG-FDA Approach with Mobile Phone Data to Modeling the Dynamic of People's Presences in the City

TL;DR

This paper introduces a novel approach combining HOG and FDA techniques to analyze mobile phone data for understanding daily human presence patterns and anomalies in a city.

Contribution

It presents a new method integrating spatial and temporal analysis for modeling urban population dynamics using high-dimensional mobile data.

Findings

Identified seasonal and weekly patterns in city presence data.

Detected anomalies and regularities in daily human mobility.

Quantified population variations from 30,000 to 60,000 people.

Abstract

In the context of Smart City, the dynamic of the presence of people can be analysed using high-dimensional spatio-temporal mobile phone data. In order to find regularities and detect anomalies in the daily profiles, we propose an approach that considers the spatial structure by means of Histogram of Oriented Gradients (HOG) method and the temporal evolution using a Model-Based Clustering Functional Data Analysis (FDA). An application to the case study of the Municipality of Brescia is provided. Similarities among days, that follow a seasonal or a days of the week trend, exist. The number of users in the city, depending on the season, the day of the week and the time of the day, varies from 30 to 60 thousands of people