Digital Twin cities and artificial intelligence: Smart Technology management

The article examines the integration mechanisms of digital twin cities and artificial intelligence as the basis for managing smart urban technologies. Based on the analysis of international experience (the Republic of Korea – the Seoul Smart Core project worth 841.2 billion won, Egypt – The Spine project worth 27 billion dollars, the European BLUEPRINT and Horizon Europe initiatives), the architectural principles of building AI-digital twins, their functional levels and decision-making mechanisms are considered. Special attention is paid to the transformation of urban governance from reactive to proactive through the introduction of AI analytics, predictive modeling and distributed edge computing. Based on research data, including the Greek study of 301 urban planning professionals, three tables are presented that characterize the components of digital twins, the distribution of AI computing, and European financing tools. The conclusion is made about the transition from simulation platforms to agent-based digital counterparts with the integration of LLM agents and multimodal interfaces.

Authors

Institutions

Publication Details

Journal
Journal of Monetary Economics and Management
Published
2026-06-26
DOI
https://doi.org/10.26118/2782-4586-2026-543-549
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital Twin cities and artificial intelligence: Smart Technology management

Zarema Khambulatova, Magomedzagid Magomedov, Elina Sultanova
Journal of Monetary Economics and Management
Smart Cities and Technologies
article

Digital Twin cities and artificial intelligence: Smart Technology management

Zarema Khambulatova, Magomedzagid Magomedov, Elina Sultanova
article en

Abstract

The article examines the integration mechanisms of digital twin cities and artificial intelligence as the basis for managing smart urban technologies. Based on the analysis of international experience (the Republic of Korea – the Seoul Smart Core project worth 841.2 billion won, Egypt – The Spine project worth 27 billion dollars, the European BLUEPRINT and Horizon Europe initiatives), the architectural principles of building AI-digital twins, their functional levels and decision-making mechanisms are considered. Special attention is paid to the transformation of urban governance from reactive to proactive through the introduction of AI analytics, predictive modeling and distributed edge computing. Based on research data, including the Greek study of 301 urban planning professionals, three tables are presented that characterize the components of digital twins, the distribution of AI computing, and European financing tools. The conclusion is made about the transition from simulation platforms to agent-based digital counterparts with the integration of LLM agents and multimodal interfaces.

Journal of Monetary Economics and Management
Chechen State University (RU), Dagestan State University (RU)
Sustainable cities and communities
Openalex Percentile: Top 6%
Smart Cities and Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.