Adaptive Modeling of Urban Dynamics With Mobile Phone Database - Faisal Behadili, Suhad;Bertelle, Cyrille;George, Loay E.
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In this book, the mobile phone traces concern an ephemeral event called Armada in Rouen city. However, important densities of individuals are analyzed and are represented to extract the life patterns by classifying the most active regions during an observed period in this urban area. Then, the collective mobility patterns are investigated in aggregated urban mobility patterns via extracting the universal mobility law (power-law distribution). This investigation explores the characteristics of human mobility patterns, and models them mathematically depending on substantial parameters, that are…mehr

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Produktbeschreibung
In this book, the mobile phone traces concern an ephemeral event called Armada in Rouen city. However, important densities of individuals are analyzed and are represented to extract the life patterns by classifying the most active regions during an observed period in this urban area. Then, the collective mobility patterns are investigated in aggregated urban mobility patterns via extracting the universal mobility law (power-law distribution). This investigation explores the characteristics of human mobility patterns, and models them mathematically depending on substantial parameters, that are the inter-event time, traveled distances (displacements), and the radius of gyration. The main purpose of this study is to determine the general pattern law of the population. And, its contribution is the resulting outcomes, which are revealed and visualized in both static and dynamic perspectives. They can be capitalized as guidelines to explore the urban pulse and life patterns.
Autorenporträt
Suhad Faisal Behadili is an assistant lecturer at Baghdad University, College of Science Al-Jaderia, Baghdad University Campus, Iraq. In April 2012, Suhad Faisal had a Doctoral Scholarship in France and completed her studies in Computer Science in November 2016.