Evidence map›Paper›PMID 41826678›Full record

ArticleScientific reports2026

A GIS and statistical based approach to assessing citizen awareness of the energy transition and climate change across algerian climatic zones.

Kahina Ouazar, Leila Abbas Mansour, Emmanuel Eveno, Khadidja Rahmani, Abderrahim Zemmit, Ahmed A Arafat, Binalfew Abebe Jemberie, Mohammad Alsharef, Ahmed Althobaiti

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

9 authors.

Kahina OuazarDepartment of Geography and Territorial Planning, LREAU Laboratory, University of Sciences and Technology Houari Boumediene (USTHB), Algiers, 16000, Algeria. kouazar@usthb.dz.
Leila Abbas MansourDepartment of Geography and Territorial Planning, LREAU Laboratory, University of Sciences and Technology Houari Boumediene (USTHB), Algiers, 16000, Algeria.
Emmanuel EvenoAttaché for Scientific and Academic Cooperation, French Embassy in Mexico, Mexico City, 11560, Mexico.
Khadidja RahmaniMechanical Engineering Department, Energy Processes and Nanotechnology Laboratory (LPEN), University of Blida 01, Blida, 09000, Algeria.
Abderrahim ZemmitElectrical Engineering Department, Electrical Engineering Laboratory (LGE), University of M'Sila, M'Sila, 28000, Algeria.
Ahmed A ArafatDepartment of Civil Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif, 21944, Saudi Arabia.
Binalfew Abebe JemberieDepartment of Civil Engineering, Faculty of Technology, Debre Markos University, P. O. Box 269, Debre Markos, Ethiopia. Binalfew_Abebe@dmu.edu.et.
Mohammad AlsharefDepartment of Electrical Engineering, College of Engineering, Taif University, P.O. BOX 11099, Taif, 21944, Saudi Arabia.
Ahmed AlthobaitiDepartment of Electrical Engineering, College of Engineering, Taif University, P.O. BOX 11099, Taif, 21944, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study analyses how citizens’ perceptions, behaviours, and socio-economic characteristics shape awareness of energy-transition and climate-change issues across Algeria’s main climatic zones. A mixed-methods design was adopted, drawing on a national survey conducted in 2024 (n = 1,204). Principal Component Analysis (PCA) identified three coherent latent constructs—behaviour, perception, and awareness—accounting for 74.9% of total variance. Climatic zoning based on the De Martone aridity index enabled the delineation of three representative climate contexts (arid, semi-arid, and semi-humid), allowing for a territorially sensitive assessment. Structural Equation Modelling (SEM) was then performed separately for each zone to analyse causal pathways among the latent variables. Results reveal that awareness is significantly influenced by both perception and behaviour in all climatic contexts, though the intensity and direction of these relationships vary geographically. Behaviour exerts stronger influence in arid and semi-arid regions, where awareness is more closely tied to concrete daily practices. In contrast, perception has the strongest effect on awareness in the semi-humid zone (β = 0.726, p < 0.001), indicating a more cognitively driven process. Perception and behaviour are consistently interrelated, with the strongest interaction observed in semi-humid areas (β = 0.533, p < 0.001). Socio-economic characteristics moderately influence behaviour in semi-arid regions and negatively affect perception in arid areas, reflecting persistent socio-spatial disparities. Overall, the findings demonstrate that awareness, perception, and behaviour operate as mutually reinforcing dimensions whose relative influence varies across climatic contexts. The study highlights the need for climate-sensitive and territorially differentiated public policies that integrate socio-behavioural drivers to strengthen citizen engagement and enhance the inclusiveness and effectiveness of national energy-transition strategies.

Indexed as

Citizen awarenessClimate changeClimatic zonesEnergy transitionEnvironmental perceptionPro-environmental behaviourStructural equation modelling (SEM)

Identifiers

PMID41826678
PMCPMC13111616

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.