A Framework for Simulating the Suitability of Data Usage in Designing Smart City Services
Publication: Journal of Urban Planning and Development
Volume 149, Issue 3
Abstract
Smart cities are receiving attention these days for providing solutions to chronic urban problems and for acting as a new urban growth engine. The development of various technologies enables cities to collect a vast amount of data, obtain useful information and therefore make city operations more efficient and intelligent. However, the perspective in terms of data has often been ignored in designing a smart city, especially from the stage of planning city services. This study aims to fill the gaps in existing studies and develop a strategic framework that helps a systematic and analytical consideration of data perspectives in designing and managing urban services for smart cities. Based on the literature review and expert discussions, the developed framework consists of five categories of factors that correspond to three stages of city data management. The framework was applied to actual smart city services as a case study to validate its suitability. A total of 34 services were examined from the service plans of two representative smart cities in Korea. The case study results showed that an inconsistent consideration of data was made in many smart city services, which highlights the need for conducting a study of this kind. In addition, an expert survey was conducted to grasp the effectiveness and practicality of the framework, which generally gave positive reviews. The developed framework guides various stakeholders to design smart city services with a better understanding of the data and to establish a comprehensive plan for data-based smart city development.
Practical Applications
One of the most important success factors in recent smart city service planning is the utilization of city data. Urban data, such as traffic records, electricity usage, and various civic activity records, provide important insights into a city. Use of these data provides opportunities for more intelligent services and enables efficient use of urban resources. However, smart city service planning is a large-scale and complex ecosystem requiring long-term efforts. Worse, it is not easy to define detailed requirements for city data to make services smart in the early stages of planning city services. Therefore, it is challenging for urban designers to develop a systematic design based on a consistent understanding of data from the early planning stage. To fill this gap, this study proposes a framework that can support effective city data utilization in smart cities. The framework proposed in this study supports the simulation of the data requirements necessary for the desired services even in the early stages of urban planning when it is impossible to develop detailed data. It is designed to be easily utilized by nondata experts, encouraging a wide range of stakeholders to participate in smart city planning.
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Acknowledgments
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (Grant-# NRF-2020R1A2C20997).
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Published In
Journal of Urban Planning and Development
Volume 149 • Issue 3 • September 2023
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Jul 31, 2022
Accepted: Mar 20, 2023
Published online: May 4, 2023
Published in print: Sep 1, 2023
Discussion open until: Oct 4, 2023
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