Evidence map›Paper›PMID 40603460›Full record

ArticleScientific reports2025

Harnessing artificial intelligence for sustainable urban development: advancing the three Zeros method through innovation and infrastructure.

Mohammad Musa, Tawfikur Rahman, Nibedita Deb, Preethu Rahman

Abstract read
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Mohammad MusaSchool of Business Administration, Xi'an Eurasia University, No. 8 Dongyi Road, Yanta District, Xi'an, 710065, China. musa@eurasia.edu.
Tawfikur RahmanDepartment of Electrical and Electronics Engineering, International University of Business Agriculture and Technology, Uttara, 1230, Dhaka, Bangladesh.
Nibedita DebCollege of Agricultural Sciences, International University of Business Agriculture and Technology, Uttara, 1230, Dhaka, Bangladesh.
Preethu RahmanSchool of Accounting and Finance, Xi'an Eurasia University, No. 8 Dongyi Road, Yanta District, Xi'an, 710065, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Integrating artificial intelligence (AI) into sustainable urban development presents an innovative pathway for addressing global environmental and socio-economic challenges. This study examines how AI technologies-such as machine learning, the Internet of Things (IoT), and big data analytics-can advance the three zeros method, a sustainability framework proposed by Nobel laureate Muhammad Yunus, which focuses on zero carbon emissions, zero poverty, and zero waste. By analyzing panel data across 50 countries and incorporating case studies, the research highlights AI's role in promoting carbon neutrality, economic inclusivity, and waste reduction. The findings reveal that AI-driven R&D innovation exerts the most decisive influence on sustainability, followed by AI-powered infrastructure, while market advantage plays a comparatively more minor role. Additionally, the study uncovers regional disparities in AI's impact, with the most significant benefits observed in countries at upper-middle levels of sustainable development. Moreover, urbanization serves as a threshold factor, altering AI's effects on sustainability. When urbanization is below a critical level, AI-driven innovation and infrastructure support sustainability, whereas the AI market advantage inhibits it. However, infrastructure may hinder sustainable development beyond this threshold while AI market mechanisms become more influential. These insights underscore the need for policymakers to tailor AI-driven sustainability strategies based on urbanization dynamics and regional development levels.

Indexed as

AI-Driven sustainabilityGreen technology integrationInnovative infrastructureSmart urban developmentThree Zeros strategy

Identifiers

PMID40603460
PMCPMC12223300

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.