Leveraging Big Data for the Development of Transport Sustainability Indicators
- Submitting institution
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University of Aberdeen
- Unit of assessment
- 12 - Engineering
- Output identifier
- 68947777
- Type
- D - Journal article
- DOI
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10.1080/10630732.2014.942094
- Title of journal
- Journal of Urban Technology
- Article number
- -
- First page
- 45
- Volume
- 22
- Issue
- 1
- ISSN
- 1063-0732
- Open access status
- Out of scope for open access requirements
- Month of publication
- February
- Year of publication
- 2015
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
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1
- Research group(s)
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-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The paper is a collaboration with Derrible of the University of Illinois Chicago. It critically analyses and assesses the role of big data in developing more robust and detailed transport sustainability indicators. The paper has been already used in over seventy follow-up studies (judged by citations in top-ranked transport journals) that reflects its high impact on this research field and practical applications.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -