A Macroscopic Forecasting Framework for Estimating Socioeconomic and Environmental Performance of Intelligent Transport Highways
- Submitting institution
-
The University of Leeds
- Unit of assessment
- 12 - Engineering
- Output identifier
- ITS-1
- Type
- D - Journal article
- DOI
-
10.1109/TITS.2013.2284638
- Title of journal
- IEEE Transactions on Intelligent Transportation Systems
- Article number
- -
- First page
- 723
- Volume
- 15
- Issue
- 2
- ISSN
- 1524-9050
- Open access status
- Out of scope for open access requirements
- Month of publication
- March
- Year of publication
- 2014
- 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
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The research integrated computing and social science techniques, applying for the first time consequential lifecycle assessment to generate expected impacts of future transport technologies. An analytical hierarchy process (AHP) and the Dempster–Shafer theory (DST) are used to weight criteria that form part of an intelligent transport sustainability index (ITSI). Stakeholder support from Highways England enabled access to data for use with the method and ensured a practical approach.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
