Towards Recognising Individual Behaviours from Pervasive Mobile Datasets in Urban Spaces

Towards Recognising Individual Behaviours from Pervasive Mobile Datasets in Urban Spaces

Mobile phone network data, routinely collected by its providers, possess very valuable encoded information about human behaviors. Intensive tourist activities in urban spaces bring smartness via mobile phone fingerprints into the understanding of an urban ecosystem. Due to the diverse processes that...

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Bibliographic Details
Main Author: Radosław Klimek
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Sustainability
Subjects:
mobile phone network
pervasive dataset
urban ecosystem
individual trajectory construction
multi-agent system
algorithmization
tourist movement
Online Access:http://www.mdpi.com/2071-1050/11/6/1563

Internet

http://www.mdpi.com/2071-1050/11/6/1563

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