Identification and Classification of Routine Locations Using Anonymized Mobile Communication Data

Identification and Classification of Routine Locations Using Anonymized Mobile Communication Data

Digital location traces are a relevant source of insights into how citizens experience their cities. Previous works using call detail records (CDRs) tend to focus on modeling the spatial and temporal patterns of human mobility, not paying much attention to the semantics of places, thus failing to mo...

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Bibliographic Details
Main Authors: Gonçalo Ferreira, Ana Alves, Marco Veloso, Carlos Bento
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:ISPRS International Journal of Geo-Information
Subjects:
call detail records
clustering algorithms
human mobility
meaningful places
mobile phone data
points of interest
Online Access:https://www.mdpi.com/2220-9964/11/4/228

Internet

https://www.mdpi.com/2220-9964/11/4/228

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