Research Article

Sustainable land management under uncertainty: A hybrid Bayesian BWM and RPM framework for spatial prioritization

Volume: 8 July 3, 2026

Sustainable land management under uncertainty: A hybrid Bayesian BWM and RPM framework for spatial prioritization

Abstract

Sustainable land management is a complex problem .due to environmental constraints and decision-maker uncertainty. This study presents an integrated solution combining Geographic Information Systems (GIS), the Bayesian Best-Worst Method (Bayesian BWM), and the Ratio Product Model (RPM) to improve the accuracy of spatial prioritization in land-use decisions. The integration of the Bayesian BWM and RPM statistically minimizes the cognitive uncertainty in expert opinions whilst enabling the most suitable areas to be ranked with precision within their own categories, without any normalization constraints. The proposed model was developed for three main categories —residential, industrial, and agricultural— in the province of Balıkesir. The analysis results revealed that the ‘ease of access to services’ (0.5660) criterion was the most decisive factor for residential suitability, whilst ‘distance to power transmission lines’ (0.1322) and ‘average rainfall’ (0.1315) were the most decisive factors for industry and agriculture, respectively. The suitability maps show that the Bandırma-Susurluk corridor is strategically prioritized for industry, whilst the Manyas-Gönen basin is prioritized for agricultural production. RPM scores (0.2750 for settlement, 0.6036 for industry, and 0.3868 for agriculture) quantify implementation priorities, providing a reliable decision-support tool for managing uncertainty in spatial planning.

Keywords

Supporting Institution

This research received no external funding.

Ethical Statement

In this study, the author declares that there is no violation of research and publication ethics and that the study does not require ethics committee approval.

References

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Details

Primary Language

English

Subjects

Planning and Decision Making, Geospatial Information Systems and Geospatial Data Modelling, Remote Sensing

Journal Section

Research Article

Publication Date

July 3, 2026

Submission Date

March 28, 2026

Acceptance Date

May 15, 2026

Published in Issue

Year 2026 Volume: 8

APA
Konurhan, Z. (2026). Sustainable land management under uncertainty: A hybrid Bayesian BWM and RPM framework for spatial prioritization. Turkish Journal of Remote Sensing, 8. https://doi.org/10.51489/tuzal.1918178
AMA
1.Konurhan Z. Sustainable land management under uncertainty: A hybrid Bayesian BWM and RPM framework for spatial prioritization. TJRS. 2026;8. doi:10.51489/tuzal.1918178
Chicago
Konurhan, Zekeriya. 2026. “Sustainable Land Management under Uncertainty: A Hybrid Bayesian BWM and RPM Framework for Spatial Prioritization”. Turkish Journal of Remote Sensing 8 (July). https://doi.org/10.51489/tuzal.1918178.
EndNote
Konurhan Z (July 1, 2026) Sustainable land management under uncertainty: A hybrid Bayesian BWM and RPM framework for spatial prioritization. Turkish Journal of Remote Sensing 8
IEEE
[1]Z. Konurhan, “Sustainable land management under uncertainty: A hybrid Bayesian BWM and RPM framework for spatial prioritization”, TJRS, vol. 8, July 2026, doi: 10.51489/tuzal.1918178.
ISNAD
Konurhan, Zekeriya. “Sustainable Land Management under Uncertainty: A Hybrid Bayesian BWM and RPM Framework for Spatial Prioritization”. Turkish Journal of Remote Sensing 8 (July 1, 2026). https://doi.org/10.51489/tuzal.1918178.
JAMA
1.Konurhan Z. Sustainable land management under uncertainty: A hybrid Bayesian BWM and RPM framework for spatial prioritization. TJRS. 2026;8. doi:10.51489/tuzal.1918178.
MLA
Konurhan, Zekeriya. “Sustainable Land Management under Uncertainty: A Hybrid Bayesian BWM and RPM Framework for Spatial Prioritization”. Turkish Journal of Remote Sensing, vol. 8, July 2026, doi:10.51489/tuzal.1918178.
Vancouver
1.Zekeriya Konurhan. Sustainable land management under uncertainty: A hybrid Bayesian BWM and RPM framework for spatial prioritization. TJRS. 2026 Jul. 1;8. doi:10.51489/tuzal.1918178

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