Administrative Regions Discovery Based on Human Mobility Patterns and Spatio-Temporal Clustering

Miguel Núñez del Prado and Hugo Alatrista-Salas
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Miguel Núñez del Prado: Universidad del Pacífico
Hugo Alatrista-Salas: Universidad del Pacífico

No 16-23, Working Papers from Centro de Investigación, Universidad del Pacífico

Abstract: Currently, the understanding of the human mobility is an important challenge that has a large number of applications, especially in the study of a nations ability to thrive economically and socially. Some works have shown that, it is possible to observe developed and developing countries reviewing their administrative regions borders, in order to reduce costs, or to solve ethnic claims and/or independence movements. In this context, the present work leverages mobile phone data to analyze human mobility patterns. Specifically, we propose a new method to detect administrative regions and paths of interaction between regions, both relying on subscribers mobility patterns extracted from Call Detail Records (CDR). Thus, our method offers a different point of view to redefine administrative boundaries.

Keywords: Mobility model; Mobility Markov chain; administrative region; clustering; region interactions (search for similar items in EconPapers)
Date: 2016-12
New Economics Papers: this item is included in nep-mig
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:pai:wpaper:16-23

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