Evidence map›Paper›PMID 40603520›Full record

ArticleScientific reports2025

Analytical approach to smart and sustainable city development with IoT.

Ahsan Waqar, Tarek A H Barakat, Hamad R Almujibah, Abdullah Mohammed Alshehri, Hashem Alyami, Masoud Alajmi

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

6 authors.

Ahsan WaqarUniversity of Lahore, Gujrat Campus, Jalalpur Jattan Road, Gujrat, 50700, Punjab, Pakistan.
Tarek A H BarakatDepartment of Civil Engineering, Faculty of Engineering, Sana'a University, Sanaa, Yemen. t.barakat@su.edu.ye.
Hamad R AlmujibahDepartment of Civil Engineering, College of Engineering, Taif University, P.O. Box 11099, Taif, 21974, Saudi Arabia.
Abdullah Mohammed AlshehriDepartment of Civil and Environmental Engineering, College of Engineering, Majmaah University, Al-Majmaah, 11952, Saudi Arabia.
Hashem AlyamiDepartment of Computer Science, College of Computers and Information Technology, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.
Masoud AlajmiDepartment of Computer Science, College of Computers and Information Technology, 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 explores the transformative role of Internet of Things (IoT) technologies in sustainable urban planning, with a focus on smart city development. By integrating IoT-driven real-time monitoring, disaster management, and energy and waste management, the study examines their mediated effects on sustainable urban growth. Data were collected using quantitative methods across various urban projects, analyzed via Structural Equation Modeling with Principal Component Analysis (SEM-PCA). Results highlight significant mediated relationships, especially in real-time monitoring (coefficient = 0.278), disaster management (coefficient = 0.086), and energy and waste management (coefficient = 0.082), underscoring IoT's potential in fostering urban resilience. These findings provide actionable insights for policymakers and urban planners, demonstrating how IoT can optimize resources, enhance safety, and improve livability. This research thus contributes to the body of knowledge on sustainable urban development, offering a framework for IoT integration in smart city planning and promoting data-driven urban sustainability.

Indexed as

Disaster managementEnergy and waste managementReal-time monitoringSustainable construction

Identifiers

PMID40603520
PMCPMC12223109

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.