The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones
Abstract
The article introduces a model for the location of meaningful places for mobile telephone users, such as home and work anchor points, using passive mobile positioning data. Passive mobile positioning data is secondary data concerning the location of call activities or handovers in network cells that is automatically stored in the memory of service providers. This data source offers good potential for the monitoring of the geography and mobility of the population, since mobile phones are widespread, and similar standardized data can be used around the globe. We developed the model and tested it with 12 months' data collected by EMT, Estonia's largest mobile service provider, covering more than 0.5 million anonymous respondents. Modeling results were compared with population register data; this revealed that the developed model described the geography of the population relatively well, and can hence be used in geographical and urban studies. This approach also has potential for the development of location-based services such as targeting services or geographical infrastructure.
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Cites
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WHAT ABOUT PEOPLE IN REGIONAL SCIENCE?
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Scripts, Plans, Goals, and Understanding: An Inquiry into Human Knowledge Structures
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Scripts, Plans, Goals, and Understanding: An Inquiry into Human Knowledge Structures
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Reality mining: sensing complex social systems
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Observing the rhythms of daily life: A six-week travel diary
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Cited by
Predicting poverty and wealth from mobile phone metadata
Blumenstock, J., Cadamuro, G., & On, R. (2015) · Science · doi:10.1126/science.aac4420 · Cited by 698
Demissie, M. G., Phithakkitnukoon, S., Sukhvibul, T., Antunes, F., Gomes, R., & Bento, C. (2016) · IEEE Transactions on Intelligent Transportation Systems · doi:10.1109/tits.2016.2521830 · Cited by 90
An individual-level ground truth dataset for home location detection
Pappalardo, L., Ferres, L., Sacasa, M., Cattuto, C., & Bravo, L. (2020) · arXiv · doi:10.48550/arxiv.2010.08814 · Cited by 7
Metadata
- Authors
- Ahas, R., Silm, S., Järv, O., Saluveer, E., & Tiru, M.
- Venue
- Journal of Urban Technology
- Publisher
- Informa UK Limited
- Published
- 2010-04
- Volume
- 17
- Issue
- 1
- Pages
- 3-27
- ISSN
- 1063-0732 (ISSN-L)
- 1466-1853
- OpenAlex
- W1977752466
- Cited by
- 393
- References
- 23
- FWCI
- 25.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ahas, R., Silm, S., Järv, O., Saluveer, E., & Tiru, M. (2010). Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones. Journal of Urban Technology. https://doi.org/10.1080/10630731003597306
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
