Study on smart city in League of Arab States (LAS): status and trend in 2024

This study integrates qualitative evidence synthesis and quantitative, indicator-based scoring to analyzing smart city development, by applying a multi-infrastructure synergized framework to track digital, conventional, and institutional infrastructure in 80 cities throughout the League of Arab States (LAS) and Iran. The study utilizes openly accessible, aggregated data from official government papers, press reports, and scholarly sources (mainly from 2021 to 2024) to analyze and compare these cities, demonstrate how regional clusters function, and identify where disparities occur. The findings provide novel insights into how smart city development has progressed in this region. First, smart city clusters along the southern coast of the Persian Gulf and the Red Sea have superior digital and institutional infrastructure, while the Mediterranean and Nile Delta Regions lag behind, due to lower levels of observed connectivity and cross-regional collaboration. Second, Iran, a country commonly excluded from smart city scholarship, presents a case study demonstrating significant strength in traditional infrastructure. Despite low levels of digital and institutional infrastructure development, this foundation has enabled substantial progress in its smart city transition. These findings provide significant academic and policy implications, offering actionable pathways for policymakers to accelerate regionally integrated development.

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Publication Details

Journal
International Journal of Urban Sciences
Published
2026-04-10
DOI
https://doi.org/10.1080/12265934.2026.2654677
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Study on smart city in League of Arab States (LAS): status and trend in 2024

Mohamed Abouelhassan Ali, Ahmad Bin Touq, Alexey Levashev, Mohammad Hadi Radfar et al.
International Journal of Urban Sciences
Smart Cities and Technologies
article

Study on smart city in League of Arab States (LAS): status and trend in 2024

Mohamed Abouelhassan Ali, Ahmad Bin Touq, Alexey Levashev, Mohammad Hadi Radfar, Xi Chen, Dong Wang, Nurul Amillin Hussain, Jiayu Hu
article en

Abstract

This study integrates qualitative evidence synthesis and quantitative, indicator-based scoring to analyzing smart city development, by applying a multi-infrastructure synergized framework to track digital, conventional, and institutional infrastructure in 80 cities throughout the League of Arab States (LAS) and Iran. The study utilizes openly accessible, aggregated data from official government papers, press reports, and scholarly sources (mainly from 2021 to 2024) to analyze and compare these cities, demonstrate how regional clusters function, and identify where disparities occur. The findings provide novel insights into how smart city development has progressed in this region. First, smart city clusters along the southern coast of the Persian Gulf and the Red Sea have superior digital and institutional infrastructure, while the Mediterranean and Nile Delta Regions lag behind, due to lower levels of observed connectivity and cross-regional collaboration. Second, Iran, a country commonly excluded from smart city scholarship, presents a case study demonstrating significant strength in traditional infrastructure. Despite low levels of digital and institutional infrastructure development, this foundation has enabled substantial progress in its smart city transition. These findings provide significant academic and policy implications, offering actionable pathways for policymakers to accelerate regionally integrated development.

International Journal of Urban Sciences
Zhejiang International Studies University (CN), Cairo University (EG), Nanyang Technological University (SG), United Arab Emirates University (AE), Peking University (CN), Irkutsk National Research Technical University (RU), University of Birmingham (GB), Nanjing University (CN), Tsinghua University (CN)
Department of Education of Zhejiang Province
Sustainable cities and communities
Openalex Percentile: Top 21%
Smart Cities and Technologies
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