Urban Sensing Using Mobile Phone Network Data: A Survey of Research
By Francesco Calabrese, Laura Ferrari, Vincent D. Blondel. ACM Computing Surveys, 2014
337 citations recorded by the source corpus.
Subfields: Computer Science Applications, Electrical and Electronic Engineering, Transportation
View Paper: https://www.semanticscholar.org/paper/dc6ad66913c727fde6157cfbb9759ac791b2b408
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Electrical and Electronic Engineering
In Transportation
Citations in the corpus
- Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2017, background): “[21] offer a focused survey on ideas and techniques that apply mobile phone data for urban sensing.”