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Performance Assessment Model for Petrol Stations Using a Multi-Criteria Condition Rating Index

Author

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  • Altayeb Qasem

    (Building Engineering Department, Faculty of Architecture & Planning, Imam Abdulrahman Bin Faisal University, Dammam 31451, Saudi Arabia)

Abstract

Saudi Arabia’s rapid urbanization and economic growth have increased the number of petrol stations crucial to national infrastructure. Despite oversight from seven local authorities, many stations fail to meet Ministry of Municipal and Rural Affairs (MMRA) standards due to decentralized management. This study develops a Condition Rating Index (CRI) for petrol stations, designed to serve as the backbone of a comprehensive decision support system for the operation and rehabilitation processes of petrol stations in Saudi Arabia. It is based on dividing petrol stations into four key areas: refueling tanks, pump stations, car service buildings, and commercial spaces. Performance factors for each area are identified and categorized hierarchically into main and sub-factors. The Analytical Hierarchy Process (AHP) is used to determine relative importance weights for these factors, while Multi-Attribute Utility Theory (MAUT) is used to assign utility scores (1–10 scale) reflecting performance levels, where 1 is poor, and 10 is optimal. The overall CRI for each petrol station is calculated by aggregating the scores of all four spaces, combining their relative importance weights with the specific CRI scores aligned with each factor’s utility level. These space-specific CRI scores reveal particular performance levels and rehabilitation needs for each area. The developed CRI functions as a transparent, integrated tool for effectively communicating performance levels and rehabilitation needs among all stakeholders. It serves as an effective decision support tool for prioritizing rehabilitation interventions based on performance levels and budget constraints, offering a comprehensive approach for enhancing petrol station management across Saudi Arabia. This paper develops a transparent and adaptable Condition Rating Index (CRI) that bridges gaps in petrol station management and aligns with sustainability goals.

Suggested Citation

  • Altayeb Qasem, 2025. "Performance Assessment Model for Petrol Stations Using a Multi-Criteria Condition Rating Index," Sustainability, MDPI, vol. 17(6), pages 1-23, March.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:6:p:2355-:d:1607706
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    References listed on IDEAS

    as
    1. Chefi Triki & Nasr Al-Hinai, 2016. "Optimisation techniques for planning the petrol replenishment to retail stations over a multi-period horizon," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 27(1/2), pages 341-355.
    2. Nasr Al-Hinai & Chefi Triki, 2020. "A two-level evolutionary algorithm for solving the petrol station replenishment problem with periodicity constraints and service choice," Annals of Operations Research, Springer, vol. 286(1), pages 325-350, March.
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