Investigating evidence of mobile phone usage by drivers in road traffic accidents
- Submitting institution
-
University of Northumbria at Newcastle
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 22062174
- Type
- D - Journal article
- DOI
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10.1016/j.diin.2015.01.008
- Title of journal
- Digital Investigation
- Article number
- -
- First page
- S30
- Volume
- 12
- Issue
- S1
- ISSN
- 1742-2876
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
1
- Research group(s)
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B - Northumbria Social Computing (NorSC)
- Citation count
- 14
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Li et al stated that this paper provided first time evidence of how iPhone’s CurrentPowerlog.powerlogsystem file and Android device buffer logs, along with their associated residual data, could be used to establish mobile phone usage at the time of, or leading up to, a motor vehicle accident (Li, Y., Zhou, G., Li, Y. et al. Multimed Tools Appl (2016) 75: 16959; Zatezalo N, Erdogan M, Green RS. J Emerg Trauma Shock. 2018;11(3):175-182). Outcome supported subsequent successful award of grant for project evaluating young driver behaviour through on-board technologies with Transport for Greater Manchester (03/16-06/17; g.horsman@tees.ac.uk).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -