UK Partner
Dylan Jones, Professor of Operational Research School of Mathematics and Physics
Ukraine Partner
Oleksii Ivanov, Senior Lecturer Information System Department, Institute of Computer Systems
Co-Investigators
Ashraf Labib, Professor of Operations and Decision Analysis, School of Organisations, Systems and People, University of Portsmouth
Richard Teeuw, Title Professor of Geoinformatics and Disaster Risk Reduction, School of Earth and Environmental Sciences, University of Portsmouth
Phil Crook, Teaching Fellow, School of Earth and Environmental Sciences, University of Portsmouth
Olena Arsirii, Professor, Head of the Information System Department Institute of Computer Systems Odesa Polytechnic National University
Sergiy Smyk, Associate Professor Information System Department, Institute of Computer Systems Odesa Polytechnic National University
Vadym Oliinyk Master Degree Student Information System Department, Institute of Computer Systems Odesa Polytechnic National University
Project objectives
Gas filling stations are a potential hazard in Ukraine, as they have the capacity to cause loss of life, infrastructure damage, environmental damage and social disruption if they catch fire. Being able to more accurately quantify and visualize each of these aspects will help to enhance safety by informing of danger. The proposed project develops a methodology by which the multi-criteria impact of a singular or set of gas filling stations can be quantified and used to inform strategic decisions on the building of new gas filling stations or the temporary or permanent closure of existing ones, as well as the location and building of new facilities (such as high density housing or environmentally sensitive facilities) in the vicinity of gas filling station. This allows active risk control and hence limits potential economic and environmental damage and social disruption, thus enhancing the economic development and welfare.
Project goals
The aim of this research is to propose a GIS-enabled decision support system for the calculation and visualization of multi-criteria risks surrounding a single or multiple gas filling stations, and hence provide decision support with respect to location decisions pertaining to the gas filling stations or other infrastructure in their vicinity.
To achieve this aim, the following objectives are planned:
- Development of a fuzzy logic based system for stratification of the risks surrounding a gas station based, building on previous work of the Ukrainian team and adapting methodologies being developed by the Portsmouth team on their current EU projects. GIS based visualisation of the results.
- Utilisation of the Analytical Hierarchy process (AHP) to reconcile the multi-criteria risks with respect to distance from the nearest gas filling station, human casualties, economic andinfrastructure damage and environmental damage.
- Development of a multi-criteria decision support tool to analyse decisions regarding opening and closure of gas-filling station with respect to the above criteria.
A roadmap for continued technical expansion and usage of the prototype system will be developed in the latter stages of the project.
The proposed research will be underpinned by the research results in the following publications by the UK and Ukrainian team members for this project:
Role of each Partner
Dylan Jones: Project management. Work on the multiple criteria decision aspects of the project, Ashraf Labib: Development of the fuzzy logic and risk mapping algorithms.
Richard Teeuw: Collaboration on the GIS mapping and disaster management aspects of project Phil Crook: Collaboration of the quantification of fire impact criteria.
Oleksii Ivanov: Adaptation of the Analytical Hierarchy process (AHP) method for reconciliation of multi- criteria risks associated with a gas station. Development of risk classification based on fuzzy logic.
Olena Arsirii: Project management. Development of intellectual classification of risks.
Sergiy Smyk: Design of a Decision support system (DSS) for gas station risks mapping.
Vadym Oliinyk: Development of a Decision support system (DSS) for gas station risks mapping.
Timing
Project Start Date: 1 February 2023
Project End Date: 31 August 2023
Expected results
1. Presentation of a joint research paper at the MOPTA 2023 Conference https://coral.ise.lehigh.edu/~mopta/
2. Publication of a joint research article in an internationally renowned journal on Operational Research.
E.g. EJOR: https://www.euro-online.org/web/pages/518/european-journal-of-operationa...
or JORS: https://www.tandfonline.com/journals/tjor20
+ Publication of Publication of a joint research article in an Eastern-European Journal of Enterprise Technologies https://jet.com.ua/en/
3 Further bid submissions dependent on funding bodies.
E.g. Horizon Europe Security Stream (along with Fraunhofer Institute, Germany and other EU partners)
https://horizoneuropencpportal.eu/ or UK equivalent replacement if not eligible.
