Abstract
This paper proves that mobile phone usage data is an easy to use, cheap and most importantly, reliable predictor of motorway incidents. Using econometric modelling, this paper provides a proof of concept of how mobile phone usage data can be utilised to detect motorway incidents. Greater Amsterdam is used here as a case study and the results suggest that mobile phone usage data can be utilised for the development of an early warning system to support road traffic incident management.
| Original language | English |
|---|---|
| Journal | Journal of Transport Geography |
| Volume | 54 |
| Early online date | 31 May 2016 |
| DOIs | |
| Publication status | E-pub ahead of print - 31 May 2016 |
Keywords
- Road traffic incident management
- Mobile phone data
- Data science
- Collective sensing
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