Open Access

Article

Article ID: 1245

Digital economy empowers urban green transformation for sustainable development

by Aicong Liu, Yiran Wang, Xiaolu Lv, Yin Shi

Information System and Smart City, Vol.5, No.2, 2025;

With the continuous acceleration of urbanization, the urban population continues to grow, and the problems of resource consumption and environmental pollution have become increasingly prominent. The development of cities is facing severe challenges. Against this backdrop, China is actively exploring and accelerating the transformation towards a digital and green economic development model. The aim is to promote a systematic transformation of urban operation methods through the deep integration of digital technology and the green development concept. The digital green economic model relies on cutting-edge technologies, which can not only enhance the efficiency of urban operation but also effectively reduce resource waste and carbon emissions. This model strives to build a new balance between economic growth and environmental protection, enabling cities to achieve high-quality development while truly improving the quality of life and happiness of residents. Although certain progress has been made in promoting the digital green economy, with the continuous improvement of digital infrastructure and the continuous expansion of the green industry scale, there are still multiple challenges in the actual implementation process, such as the digital divide, fiscal pressure, and imperfect environmental supervision. This paper selects data from 2008 to 2022 for research and uses Eviews software for multiple linear regression analysis and testing. The purpose is to explore the application of digital technology in urban management, promote the development of the green economy, analyze and improve the problems existing in the digital green economy, and thereby promote sustainable urban development.

Open Access

Article

Article ID: 1292

GARCH modeling: Economic growth, idiosyncratic risk and SDGs in ASEAN countries

by Marselinus Asri

Information System and Smart City, Vol.5, No.1, 2025;

This study examines the relationships among economic growth, idiosyncratic risk, Foreign Direct Investment (FDI), inflation, and Sustainable Development Goals (SDGs) within the Association of Southeast Asian Nations (ASEAN). The research integrates Structural Equation Modeling (SEM) and Generalized Autoregressive Conditional Heteroskedasticity (GARCH) modeling to analyze both structural relationships and volatility dynamics in macroeconomic variables. Economic data from ASEAN member countries were analyzed using SEM with AMOS (Analysis of Moment Structures) to identify direct and indirect relationships among variables, while GARCH modeling using EViews was applied to evaluate time-varying volatility in economic growth. The empirical results indicate a significant positive relationship between idiosyncratic risk and economic growth, suggesting that higher levels of firm- or asset-specific risk may reflect entrepreneurial activity, innovation, and investment in higher-return opportunities that contribute to economic expansion. The analysis also shows that progress toward the Sustainable Development Goals exhibits a relationship with economic performance, although the statistical significance varies across models. Furthermore, the GARCH results confirm the presence of volatility clustering, indicating that past fluctuations in economic growth significantly influence current volatility. These findings highlight the importance of effective risk management and balanced policy strategies that encourage innovation while maintaining economic stability. For ASEAN policymakers, strengthening risk management frameworks, supporting entrepreneurship, and aligning development strategies with sustainability objectives can enhance economic resilience and promote long-term sustainable growth.

Open Access

Article

Article ID: 2664

Empowering smart cities: The role of intelligent building solutions in urban development

by Fateme Vafaei, Javad Majrouhi Sardroud, Mostafa Ghazimoradi

Information System and Smart City, Vol.5, No.1, 2025;

Integrating intelligence into building structures offers numerous benefits for smart cities. This research focuses on the significance of smart buildings within city environments settings, providing valuable insights into the seven domains that significantly impact smart cities. It emphasizes the development of smart buildings that positively influence the environment, boost creativity and enable the seamless development of more intelligent inner-city environments. To address challenges across these domains, the Delphi method was employed, engaging a diverse group of experts to identify key issues and assess their relative importance, and SPSS software was used to analyze the data. The primary objective is to determine which smart building domains should be prioritized for citywide smartification and how they reinforce other building domains. Ultimately, this focus on innovation strengthens the sustainability of smart cities by analyzing the impacts of building performance across various domains and promoting citywide innovation networks. By examining the unique features of smart buildings, this research underscores innovation as a driving force for reshaping the cityscape. The aforementioned approach significantly advances smart city development, as technologically enhanced buildings are the foundation of innovative cities. In the absence of intelligent building practices, achieving smart cities is impossible; cities are fundamentally shaped by their buildings. Smart buildings take the first essential step toward creating smarter urban environments.

Open Access

Review

Article ID: 2334

Navigating the future of smart cities: Addressing IoT challenges through blockchain solutions

by Yasaman Ghaderi, Mohammad Reza Ghaderi

Information System and Smart City, Vol.5, No.1, 2025;

As urbanization accelerates, smart cities are increasingly turning to innovative technologies to enhance city management, governance, and citizen engagement. This paper explores the application of blockchain technology in smart cities, particularly its interaction with the Internet of Things (IoT). Despite significant strides in utilizing blockchain for specific applications, existing frameworks often focus on narrow sectors, such as energy management or data security, lacking a holistic integration across municipal functions. This research identifies a critical gap in existing literature: the need for a comprehensive blockchain framework that connects multiple urban sectors, facilitates secure data exchange, and empowers citizens through decentralized systems. The proposed framework underscores the potential of blockchain to create a transparent, efficient, and citizen-friendly urban environment by implementing decentralized identity management, smart contracts for public services, and innovative citizen engagement platforms. By addressing this gap, the study contributes to the discourse on smart city development by providing an adaptable model that can be tailored to the unique needs of diverse urban environments.

Open Access

Commentary

Article ID: 2213

Explaining the role of reducing energy consumption in strengthening healthy cities in smart cities

by Hadi RezaeiRad, Seyedeh Zahra Akbarian

Information System and Smart City, Vol.5, No.1, 2025;

Different dimensions and interventions can lead to the outcome of being a healthy, smart city. One of them is the smart management of energy, via a smart infrastructure—the system component that certainly should be considered in a smart city. Improving the quality of life is one of the big aims of smart cities. For this reason, the management of energy is one of the factors that directly and indirectly affect it and public health. The present study is a descriptive-analytical type, and through a meta-synthesis methodology, the analysis explores past studies on decreasing energy consumption and moving toward healthy and smart city initiatives. The conclusion provides actionable recommendations for realizing this vision. Studies indicate that achieving smart, healthier cities requires the integration of smart grids and renewable energy, the implementation of data-driven energy management systems, and the promotion of citizen engagement and behavioral change.

Open Access

Article

Article ID: 2356

Statistical approach to the diagnosis of the dynamics of urban mobility under the influence of the road congestion situation in the city of Douala, Cameroon

by Frédéric Laurent Esse Esse, Cyrille Mezoue Adiang, Moussa Sali, Fabien Kenmogne, Blaise Ngwem Bayiha, Gilbert Tchemou, Emmanuel Yamb Bell

Information System and Smart City, Vol.5, No.1, 2025;

Smooth movement is an essential function and an indicator of a healthy city. Cities being engines of growth, congestion is a real cancer for the country’s economy. In this sense, linking travel habits and the increase in the level of congestion in a city is very important. The objective of this work is to diagnose, using a statistical approach, the dynamics of urban mobility influenced by the traffic congestion situation in the city of Douala. For this, the study focuses on two aspects; the first aspect concerns the multivariate descriptive analysis of motorists’ travel habits. The methods used involve first submitting surveys to motorists in vehicle technical inspection centers and processing the data in IBM SPSS statistical software. Follow-up of the analysis of the correlation between the congestion level and some required solutions. The second aspect focuses on the principal component analysis (PCA) that is performed. The determination of Kaiser-Meyer-Olkin (KMO) indices, the Bartlett significances, and the Pearson correlation coefficients are also done. The results show that the travel habits of motorists create a massive use of roads at certain specific time slots, in addition to extra-municipal trips mainly oriented towards the city center and the administrative district due to the monocentric situation of the city, which contributes to the increase in the level of congestion in the city. The correlation shows that there is significance between the level of congestion and the solutions considered, but this correlation is more or less moderate, which shows that the solutions considered can be used in the short term to alleviate congestion in the city.