Title: Towards compliance-based inspection modelling

Authors: Ana Calderon; Simon Parkinson

Addresses: Department of Computer Science, Cardiff School of Technology, Cardiff Metropolitan University, Cardiff, UK ' Department of Computer Science, University of Huddersfield, HD1 3DH, UK

Abstract: We propose to move towards a risk-profiling approach to determine inspection strategies, with the aim of targeting audit of buildings that have a higher chance of being problematic. Historical data suggests that compliance of responsible persons (those in charge of ensuring fire safety at a particular dwelling) is an important factor in likelihood of danger, but it is presently overlooked in inspection models. With the goal of incorporating compliance in decisions of what and when to inspect, we construct game theoretic models for inspections, encompassing compliance likelihood of responsible persons. The (action-based) game theoretic representations serve to enable the construction of combinatorial optimisation algorithms (algorithms for finding the optimal solution to problems where exhaustive searches are an impossibility), capable of deliberative search to identify optimal sequences of inspections. This paper presents a case study on compliance, some statistical findings, then followed by the conceptual game-theoretical modelling.

Keywords: South Wales fire and rescue service; game theory; fire inspection; compliance-based inspections; compliance; automatic planning techniques; fire and rescue; fire regulations; decision-making; reducing fire risk.

DOI: 10.1504/IJDSS.2024.137226

International Journal of Decision Support Systems, 2024 Vol.5 No.1, pp.1 - 13

Received: 20 Nov 2020
Accepted: 21 Jun 2021
Published online: 06 Mar 2024 *

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