Agent-based simulation of emergency response to plan the allocation of resources for a hypothetical two-site major incident
- Submitting institution
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University of Newcastle upon Tyne
- Unit of assessment
- 12 - Engineering
- Output identifier
- 244225-80855-1293
- Type
- D - Journal article
- DOI
-
10.1016/j.engappai.2015.06.023
- Title of journal
- Engineering Applications of Artificial Intelligence
- Article number
- -
- First page
- 336
- Volume
- 46
- Issue
- Part B
- ISSN
- 0952-1976
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2015
- URL
-
https://doi.org/10.1016/j.engappai.2015.06.023
- 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
-
3
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The agent-based approach to modelling and simulating Small and Medium-sized Enterprises enables assessments of flood adaptation measures in terms of reducing the impact of and accelerating recovery from major flood events. Over 100 SMEs were interviewed to inform the ABM. The output of this research fed into the project’s web-based tool developed to offer flood advice to SMEs (http://floodresilientbusiness.co.uk/), which won the Environment Agency’s ‘Project Excellence Award 2017 for Customer Service’ and influenced the design of a national tool providing free flood advice for homeowners and businesses (www.floodguidance.co.uk). The paper is an output of the multi-disciplinary ‘SESAME’ project (EPSRC EP/K012770/1).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -