A comprehensive scientometric review of global scientific production intersecting smart cities, AI, and territorial justice from 2000 to 2026 is delivered to provide policymakers with a strategic framework that effectively reconciles technological innovation with territorial justice and social sustainability.
Najib Bahmani, Rachid El Aarji, Abdelkarim Hssoune et al.· International Journal of Res...· 0 citations
Urban sustainability is increasingly challenged by rapid urbanization, environmental degradation, and unequal access to public open and green spaces. These spaces are essential for mitigating urban heat, enhancing biodiversity, and improving human well-being. However, planning and managing them equitably in dense citie...
Fatemeh Aghnaei Alanjagh, R. Teimouri· Discover Cities· 0 citations
This study presents a systematic review of 2253 studies published between 2021 and 2026, providing a structured, multidimensional analysis of disability-inclusive ITS research, and synthesizes insights across transportation engineering, healthcare, urban planning, and AI to propose actionable directions for developing...
M. Badawy, T. Farrag, Hanaa A. Sayed et al.· Discover Cities· 0 citations
The paper argues that the future of Urban AI depends not only on technological advancement but also on robust socio-technical frameworks integrating ethical oversight, place-sensitive interpretation, interdisciplinary cooperation, interdisciplinary cooperation, and participatory knowledge production.
Xin-Yue Ye, J. N. Spencer, Wei Li et al.· Frontiers of Urban and Rural...· 0 citations
The findings reveal that African‐led AI initiatives are operationalizing key responsible AI principles, showcasing how CUI is promoting distributed intelligence systems where human, institutional, and algorithmic agents co‐produce locally relevant urban knowledge.
Mennatullah Hendawy, Catarina Fontes, Muntasyir Al Wafi et al.· Urban Planning· 0 citations
This research examines a spatial development project in Baltimore, Maryland, using a multi-method computational framework that combines descriptive statistics, multi-variable regressions, travel demand modeling, and Monte Carlo simulations to maximize supply chain logistics and spatial accessibility for community food...
Fahim Jaman, Rasheen Shehan· Journal of Urban Intelligenc...· 0 citations
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