Human Mobility Patterns Modelling using CDRs

TL;DR

This paper analyzes human mobility patterns using Call Detailed Records from an event in France, aiming to model and simulate movement for urban planning and emergency response.

Contribution

It introduces a mathematical model of human mobility based on inter-event times and travel distances derived from CDR data.

Findings

Mobility patterns vary significantly during the event.

The model accurately predicts movement behaviors.

Insights support urban planning and emergency management.

Abstract

The research objectives are exploring characteristics of human mobility patterns, subsequently modelling them mathematically depending on inter-event time and traveled distances parameters using CDRs (Call Detailed Records). The observations are obtained from Armada festival in France. Understanding, modelling and simulating human mobility among urban regions is excitement approach, due to itsimportance in rescue situations for various events either indoor events like evacuation of buildings or outdoor ones like public assemblies,community evacuation in casesemerged during emergency situations, moreover serves urban planning and smart cities.