Evidence map›Paper›PMID 41968154›Full record

ArticleScientific reports2026

​​GIS-based AHP multi-criteria mapping of potential solar PV power plant development: a case study in the vicinity of Holy Sites, Saudi Arabia.

Sarra Ouerghi, Nouf Al Jadaani, Yasir Mohieldeen

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sarra OuerghiApplied Geography and GIS Program, Department of Humanities, College of Arts and Sciences, Qatar University, Doha, Qatar.
Nouf Al JadaaniDepartment of Geography and GIS, Faculty of Arts & Humanities, King Abdulaziz University, Jeddah, Saudi Arabia.
Yasir MohieldeenQatar Environment and Energy Research Institute (QEERI) Program, Department of Humanities, College of Arts and Sciences, Qatar University, Doha, Qatar. ymohieldeen@yahoo.co.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Saudi Arabia’s Vision 2030 includes a “Green Hajj” initiative to reduce the environmental impact of the annual pilgrimage. This study identifies optimal locations for large-scale solar PV plants near Meena, Muzdalifah, and Arafat in Makkah using GIS-based Multi-Criteria Decision Analysis (MCDA) and the Analytic Hierarchy Process (AHP). Key criteria assessed were solar irradiance, PV output, terrain, infrastructure proximity, and land use. The analysis categorized land suitability into five levels: 10.38% of the area (mainly northeast) is most suitable for PV with an estimated output of 1830 kWh/kWp/year; highly suitable zones comprise 10.87%, moderately suitable 23.58%, low suitability 26.02%, and 29.15% is unsuitable due to challenging terrain or proximity to protected areas. The most- and highly suitable categories could produce 6.75 GW of electricity; just 10% (675 MW) would meet Hajj’s peak demand of 500–600 MW. This approach offers a robust method for sustainable energy planning in sensitive, high-demand regions.

Indexed as

Analytic Hierarchy Process (AHP)GISMulti-criteria decision analysisMuslim Holy region, Green Hajj initiative, Saudi ArabiaPhotovoltaic (PV)Solar energy

Identifiers

PMID41968154
PMCPMC13230951

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.