Evidence map›Paper›PMID 41807580›Full record

ArticleScientific reports2026

Green space suitability assessment for sustainable urban development using geospatial technology in Eka Tafo, Ethiopia.

Dechasa Diriba, Ebassa Dugasa Leta, Degu Demise, Melion Kasahun, Shankar Karuppannan, Negedie Abrha Gebreslassie, Tesfaye Lemma, Mesay Mengistu Feyisa

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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

8 authors.

Dechasa DiribaDepartment of Geology, College of Natural and Computational Science, Dilla University, P.O. Box: 419, Dilla, Ethiopia. dachassa21@gmail.com.
Ebassa Dugasa LetaDepartment of Geology, College of Natural and Computational Science, Dilla University, P.O. Box: 419, Dilla, Ethiopia.
Degu DemiseDepartment of Natural Resources Management, College of Agriculture and Natural Resources, Dilla University, P.O. Box: 419, Dilla, Ethiopia.
Melion KasahunDepartment of Geography and Environmental Studies, College of Social science and humanities, Borana University, P.O. Box 19, Yabello, Ethiopia.
Shankar KaruppannanDepartment of Research Analytics, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, 600077, Tamil Nadu, India.
Negedie Abrha GebreslassieDepartment of Geology, College of Natural and Computational Science, Dilla University, P.O. Box: 419, Dilla, Ethiopia.
Tesfaye LemmaDepartment of Chemistry, College of Natural and Computational Science, Borana University, P.O. Box: 19, Yabello, Ethiopia.
Mesay Mengistu FeyisaDepartment of Chemistry, College of Natural and Computational Science, Borana University, P.O. Box: 19, Yabello, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Urban green spaces offer several economic, social, and health benefits to residents. This study was conducted to identify the appropriate locations of green spaces in the Eka Tafo Sub-City using geospatial technologies, namely Geographic Information System (GIS) and Remote Sensing (RS). Eight parameters were evaluated: slope, normalized difference vegetation index (NDVI), proximity to rivers, elevation, land use, soil type, proximity to highways, and population density. The Analytical Hierarchy Process (AHP) was used to assign weights to each factor. The green space suitability map was generated by integrating all the thematic layers in ArcGIS. The green space map identifies five suitability zones: highly suitable, suitable, moderately suitable, poorly suitable, and unsuitable. The findings showed that approximately 30.7% of the study area was classified as suitable to highly suitable for green space, whereas 40.7% was considered unsuitable to poorly suitable. These results enable policymakers to determine the open green spaces that enhance the environmental quality of urban areas and the living standards of residents.

Indexed as

AHPEka TafoGISRemote sensingUrban green space

Identifiers

PMID41807580
PMCPMC13099994

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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.