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https://hdl.handle.net/10316/100515
Título: | Identification and Classification of Routine Locations Using Anonymized Mobile Communication Data | Autor: | Ferreira, Gonçalo Alves, Ana Veloso, Marco Bento, Carlos |
Palavras-chave: | call detail records; clustering algorithms; human mobility; meaningful places; mobile phone data; points of interest | Data: | 2022 | Título da revista, periódico, livro ou evento: | ISPRS International Journal of Geo-Information | Volume: | 11 | Número: | 4 | Resumo: | 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 model and enhance the understanding of the motivations behind people’s mobility. In this paper, we applied a methodology for identifying individual users’ routine locations and propose an approach for attaching semantic meaning to these locations. Specifically, we used circular sectors that correspond to cellular antennas’ signal areas. In those areas, we found that all contained points of interest (POIs), extracted their most important attributes (opening hours, check-ins, category) and incorporated them into the classification. We conducted experiments with real-world data from Coimbra, Portugal, and the initial experimental results demonstrate the effectiveness of the proposed methodology to infer activities in the user’s routine areas. | URI: | https://hdl.handle.net/10316/100515 | ISSN: | 2220-9964 | DOI: | 10.3390/ijgi11040228 | Direitos: | openAccess |
Aparece nas coleções: | I&D CISUC - Artigos em Revistas Internacionais |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Identification-and-Classification-of-Routine-Locations-Using-Anonymized-Mobile-Communication-DataISPRS-International-Journal-of-GeoInformation.pdf | 1.47 MB | Adobe PDF | Ver/Abrir |
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