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Smart Cities, Volume 8, Issue 1

2025 February - 37 articles

Cover Story: This study proposes a novel approach to enhancing urban mobility through a blockchain-integrated MaaS using Hyperledger Fabric. The proposed proof-of-concept solution facilitates secure payments, real-time ride tracking, and efficient data management, promoting transparent collaboration among transport providers and users. Load testing under varying transaction volumes and different blockchain tunings evaluated scalability and performance, highlighting strengths and areas for optimization. The findings underscore blockchain’s potential to enhance transparency, mitigate fraud, and support sustainable urban transport while paving the way for future applications in freight logistics and smart city ecosystems. View this paper
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Articles (37)

  • Article
  • Open Access
15 Citations
2,495 Views
29 Pages

Interconnected Operation and Economic Feasibility-Based Sustainable Planning of Virtual Power Plant in Multi-Area Context

  • Anubhav Kumar Pandey,
  • Vinay Kumar Jadoun,
  • Jayalakshmi N. Sabhahit and
  • Sachin Sharma

A virtual power plant (VPP) is a potential alternative that aggregates the distributed energy resources (DERs) and addresses the prosumer’s power availability, quality, and reliability requirements. This paper reports the optimized scheduling o...

(This article belongs to the Special Issue Next Generation of Smart Grid Technologies)
  • Article
  • Open Access
7 Citations
3,276 Views
30 Pages

Smart cities aim to enhance the quality of life by advancing infrastructure, leveraging technology, and promoting sustainability, balancing environmental, societal, and economic needs for long-term efficiency. Given resource scarcity and environmenta...

(This article belongs to the Special Issue Inclusive Smart Cities)
  • Article
  • Open Access
28 Citations
7,251 Views
31 Pages

The increasing adoption of smart home devices has raised significant concerns regarding privacy, security, and vulnerability to cyber threats. This study addresses these challenges by presenting a federated learning framework enhanced with blockchain...

(This article belongs to the Special Issue Big Data and AI Services for Sustainable Smart Cities)
  • Article
  • Open Access
15 Citations
5,456 Views
14 Pages

Responsible Artificial Intelligence Hyper-Automation with Generative AI Agents for Sustainable Cities of the Future

  • Daswin De Silva,
  • Nishan Mills,
  • Harsha Moraliyage,
  • Prabod Rathnayaka,
  • Sam Wishart and
  • Andrew Jennings

Smart cities are Hyper-Connected Digital Environments (HCDEs) that transcend the boundaries of natural, human-made, social, virtual, and artificial environments. Human activities are no longer confined to a single environment as our presence and inte...

  • Article
  • Open Access
27 Citations
6,113 Views
33 Pages

Secure Electric Vehicle Charging Infrastructure in Smart Cities: A Blockchain-Based Smart Contract Approach

  • Abdullahi Chowdhury,
  • Sakib Shahriar Shafin,
  • Saleh Masum,
  • Joarder Kamruzzaman and
  • Shi Dong

Increasing adoption of electric vehicles (EVs) and the expansion of EV charging infrastructure present opportunities for enhancing sustainable transportation within smart cities. However, the interconnected nature of EV charging stations (EVCSs) expo...

  • Review
  • Open Access
25 Citations
10,157 Views
24 Pages

Urban digital twins (UDTs) were first discussed in 2018. Seven years later, we ask: What has been their contribution to urban planning and decision making so far? Here, we systematically review 88 peer-reviewed articles to map and compare UDTs’...

(This article belongs to the Collection Digital Twins for Smart Cities)
  • Article
  • Open Access
2 Citations
4,485 Views
20 Pages

Developing policy instruments related to urban freight, such as congestion pricing, urban consolidation schemes, and off-hours delivery, requires an understanding of the distribution of shipment delivery times. Furthermore, agent-based urban freight...

  • Article
  • Open Access
17 Citations
6,534 Views
15 Pages

Smart Green Energy Management for Campus: An Integrated Machine Learning and Reinforcement Learning Model

  • Charan Teja Madabathula,
  • Kunal Agrawal,
  • Vijen Mehta,
  • Swathi Kasarabada,
  • Sai Srimai Kommamuri,
  • Guannan Liu and
  • Jerry Gao

The increasing demand for energy efficiency and the integration of renewable energy sources have become crucial for sustainability in modern campuses. This work presents a smart green energy management system (SGEMS) that integrates a machine learnin...

(This article belongs to the Special Issue Big Data and AI Services for Sustainable Smart Cities)
  • Article
  • Open Access
21 Citations
5,680 Views
31 Pages

The advent of digital transformation has redefined the preservation of cultural heritage and historic sites through the integration of Digital Twin technology. Initially developed for industrial applications, Digital Twins are now increasingly employ...

(This article belongs to the Collection Digital Twins for Smart Cities)
  • Article
  • Open Access
24 Citations
10,947 Views
21 Pages

The concept of digital twins (DTs) has expanded to encompass buildings and cities, with urban building energy modeling (UBEM) playing a crucial role in predicting urban-scale energy consumption via modeling individual energy use and interactions. As...

  • Article
  • Open Access
4 Citations
3,604 Views
29 Pages

In an era of increasingly abundant and granular spatial and temporal data, the traditional divide between environmental GIS and building-centric BIM scales is diminishing, offering an opportunity to enhance natural hazard assessment by bridging the g...

(This article belongs to the Section Buildings in Smart Cities)
  • Perspective
  • Open Access
12 Citations
7,361 Views
15 Pages

In the biodiversity and climate emergency, a holistic approach is needed for the development of smart cities. This perspective paper proposed a novel conceptual framework for nature-positive smart cities in a socio-technical-ecological system (STES),...

  • Review
  • Open Access
85 Citations
25,897 Views
37 Pages

Advances in Traffic Congestion Prediction: An Overview of Emerging Techniques and Methods

  • Aristeidis Mystakidis,
  • Paraskevas Koukaras and
  • Christos Tjortjis

The ongoing increase in urban populations has resulted in the enduring issue of traffic congestion, adversely affecting the quality of life, including commute duration, road safety, and local air quality. Consequently, recognizing and forecasting und...

(This article belongs to the Section Smart Urban Mobility, Transport, and Logistics)
  • Review
  • Open Access
23 Citations
7,212 Views
34 Pages

Due to its anticipated impacts on the performance of transportation systems, intelligent transport systems (ITS) have emerged as one of the most extensively investigated topics. The U.S. Department of Transportation has defined route guidance systems...

  • Review
  • Open Access
27 Citations
10,908 Views
36 Pages

The rapid evolution of smart city technologies has expanded digital twin (DT) applications from industrial to urban contexts. However, current urban digital twins (UDTs) remain predominantly focused on the physical aspects of urban environments (&ldq...

  • Systematic Review
  • Open Access
48 Citations
17,520 Views
33 Pages

Smart city planning is crucial for enhancing urban resilience, especially with the contemporary challenges of rising urban population and climate change. This study conducts a systematic literature review (SLR) to examine the integration of urban res...

  • Review
  • Open Access
23 Citations
11,570 Views
28 Pages

In Dubai’s rapidly expanding urban landscape, addressing the adverse impacts of increasing automobile reliance is critical. Growing vehicle usage contributes to urban sprawl, prolonged commutes, infrastructure strain, and diminished green space...

(This article belongs to the Special Issue Paving the Future: Sustainable Road Design and Urban Mobility in Smart Cities)
  • Article
  • Open Access
15 Citations
3,144 Views
24 Pages

This article investigates the impacts of coordinated false data injection attacks (FDIAs) on voltage profiles in smart microgrids integrated with renewable-based distributed energy resources (DERs), a critical component of urban energy infrastructure...

  • Article
  • Open Access
63 Citations
18,129 Views
35 Pages

LLM Agents for Smart City Management: Enhancing Decision Support Through Multi-Agent AI Systems

  • Anna Kalyuzhnaya,
  • Sergey Mityagin,
  • Elizaveta Lutsenko,
  • Andrey Getmanov,
  • Yaroslav Aksenkin,
  • Kamil Fatkhiev,
  • Kirill Fedorin,
  • Nikolay O. Nikitin,
  • Natalia Chichkova and
  • Alexander Boukhanovsky
  • + 1 author

This study investigates the implementation of LLM agents in smart city management, leveraging both the inherent language processing abilities of LLMs and the distributed problem solving capabilities of multi-agent systems for the improvement of urban...

(This article belongs to the Special Issue Big Data and AI Services for Sustainable Smart Cities)
  • Article
  • Open Access
9 Citations
4,517 Views
22 Pages

Spontaneous recreational activities in public spaces are a vital source of public vitality. Given the similarity between the walking patterns of recreational crowds in public spaces and the movement of electrons on a two-dimensional circuit surface,...

  • Article
  • Open Access
12 Citations
7,004 Views
36 Pages

Building decarbonization is a major challenge for cities. Deciding which buildings to retrofit buildings, and when and how, is difficult, given the complex interaction between energy costs and investment requirements. Several tools have been develope...

(This article belongs to the Topic Sustainable and Smart Building)
  • Article
  • Open Access
13 Citations
4,511 Views
41 Pages

The rapid urbanization and pursuit of sustainability have elevated shared mobility as a cornerstone of smart cities. Among its modalities, scooter-sharing has gained popularity for its convenience and eco-friendliness, yet it faces significant adopti...

(This article belongs to the Special Issue Smart Mobility: Linking Research, Regulation, Innovation and Practice)
  • Article
  • Open Access
5 Citations
4,673 Views
18 Pages

This paper proposes a new strategy for a collision avoidance system leveraging time-to-collision (TTC) metrics for handling cut-in scenarios, which are particularly challenging for autonomous vehicles (AVs). By integrating deep learning with TTC calc...

  • Article
  • Open Access
55 Citations
4,962 Views
17 Pages

Geospatial Clustering in Smart City Resource Management: An Initial Step in the Optimisation of Complex Technical Supply Systems

  • Aliaksey A. Kapanski,
  • Roman V. Klyuev,
  • Aleksandr E. Boltrushevich,
  • Svetlana N. Sorokova,
  • Egor A. Efremenkov,
  • Anton Y. Demin and
  • Nikita V. Martyushev

For large cities with developing infrastructures, optimising water supply systems plays a crucial role. However, without a clear understanding of the network structure and water consumption patterns, addressing these challenges becomes significantly...

(This article belongs to the Special Issue Digital Innovation and Transformation for Smart Cities)
  • Article
  • Open Access
17 Citations
4,950 Views
25 Pages

Can Machine Learning Enhance Intrusion Detection to Safeguard Smart City Networks from Multi-Step Cyberattacks?

  • Jowaria Khan,
  • Rana Elfakharany,
  • Hiba Saleem,
  • Mahira Pathan,
  • Emaan Shahzad,
  • Salam Dhou and
  • Fadi Aloul

Intrusion detection systems are essential for detecting network cyberattacks. As the sophistication of cyberattacks increases, it is critical that defense technologies adapt to counter them. Multi-step attacks, which need several correlated intrusion...

(This article belongs to the Topic Artificial Intelligence Models, Tools and Applications)
  • Article
  • Open Access
10 Citations
5,957 Views
23 Pages

Enhancing Human Detection in Occlusion-Heavy Disaster Scenarios: A Visibility-Enhanced DINO (VE-DINO) Model with Reassembled Occlusion Dataset

  • Zi-An Zhao,
  • Shidan Wang,
  • Min-Xin Chen,
  • Ye-Jiao Mao,
  • Andy Chi-Ho Chan,
  • Derek Ka-Hei Lai,
  • Duo Wai-Chi Wong and
  • James Chung-Wai Cheung

Natural disasters create complex environments where effective human detection is both critical and challenging, especially when individuals are partially occluded. While recent advancements in computer vision have improved detection capabilities, the...

(This article belongs to the Topic Machine Learning and Big Data Analytics for Natural Disaster Reduction and Resilience)
  • Review
  • Open Access
7 Citations
4,516 Views
34 Pages

Nanogrids are becoming an essential part of modern home power systems, offering sustainable solutions for residential areas. These medium-to-low voltage, small-scale grids, operating at medium-to-low voltage, enable the integration of distributed ene...

  • Review
  • Open Access
26 Citations
16,549 Views
65 Pages

This study aims to identify the added value of smart city technologies in real estate development, one of the most significant factors that would transform traditional real estate into smart ones. In total, 16 technologies utilized at both levels hav...

(This article belongs to the Section Buildings in Smart Cities)
  • Article
  • Open Access
26 Citations
8,123 Views
25 Pages

Integrating Blockchain Technology into Mobility-as-a-Service Platforms for Smart Cities

  • Radu Miron,
  • Mihai Hulea,
  • Vlad Muresan,
  • Iulia Clitan and
  • Andrei Rusu

As cities evolve into smarter and more connected environments, there is a growing need for innovative solutions to improve urban mobility. This study examines the potential of integrating blockchain technology into passenger transportation systems wi...

  • Review
  • Open Access
36 Citations
8,493 Views
24 Pages

Review of Energy Communities: Definitions, Regulations, Topologies, and Technologies

  • Alexandra Catalina Lazaroiu,
  • Mariacristina Roscia,
  • George Cristian Lazaroiu and
  • Pierluigi Siano

The Clean Energy package recognizes and offers a favorable regulatory framework for citizens and energy communities with renewable energy sources. However, various countries’ national regulations will be highly important for the successful deve...

  • Article
  • Open Access
9 Citations
4,972 Views
18 Pages

Climatic changes lead to many extreme weather events throughout the globe. These extreme weather events influence our behavior, exposing us to different environmental conditions, such as poor indoor quality. Poor indoor air quality (IAQ) poses a sign...

(This article belongs to the Topic Smart Cities: Infrastructure, Innovation, Technology, Governance and Citizenship)
  • Article
  • Open Access
1 Citations
3,032 Views
21 Pages

Ground settlement is a crucial indicator for assessing the safety of shield tunneling and its impact on the surrounding environment. However, most existing settlement prediction methods are based on historical data, which can only be applied with eff...

(This article belongs to the Topic Digital and Intelligent Technologies and Application in Urban Construction, Operation, Maintenance, and Renewal)
  • Article
  • Open Access
4 Citations
3,166 Views
29 Pages

Natural disasters (e.g., floods, earthquakes) significantly impact citizens, economies, and the environment worldwide. Due to their sudden onset, devastating effects, and high uncertainty, it is crucial for emergency departments to take swift action...

(This article belongs to the Section Applied Science and Humanities for Smart Cities)
  • Article
  • Open Access
2 Citations
3,185 Views
36 Pages

This paper utilizes a methodological two-step process incorporating statistical and causal probabilistic modeling techniques to investigate factors affecting the accessibility experiences of persons with disabilities in Canada. We deploy a network-ba...

(This article belongs to the Special Issue Inclusive Smart Cities)
  • Article
  • Open Access
1 Citations
2,167 Views
21 Pages

Optimizing Power Forecasting Models with Customized Features for Academic and Industrial Buildings

  • David Cabezuelo,
  • Izar Lopez-Ramirez,
  • June Urkizu and
  • Ander Goikoetxea

Power consumption prediction is a crucial component in enhancing the efficiency and sustainability of building operations. This study investigates the impact of data collection frequency and model selection on the predictive accuracy of power consump...

(This article belongs to the Section Internet of Things, Computing, and Communications Technologies in Smart Cities)
  • Article
  • Open Access
12 Citations
5,725 Views
23 Pages

Creating and Validating Hybrid Large-Scale, Multi-Modal Traffic Simulations for Efficient Transport Planning

  • Fabian Schuhmann,
  • Ngoc An Nguyen,
  • Jörg Schweizer,
  • Wei-Chieh Huang and
  • Markus Lienkamp

Mobility digital twins (MDTs), which utilize multi-modal microscopic (micro) traffic simulations and an activity-based demand generation, are envisioned as flexible and reliable planning tools for addressing today’s increasingly complex and div...

(This article belongs to the Special Issue Cost-Effective Transportation Planning for Smart Cities)
  • Article
  • Open Access
1 Citations
2,315 Views
16 Pages

City services and infrastructures are focused on consumers and are able to effectively and qualitatively implement their functions only under conditions of normal workload. In this regard, the correct organization of a public service system is direct...

(This article belongs to the Section Applied Science and Humanities for Smart Cities)
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Smart Cities - ISSN 2624-6511