Abstract
This study aims to address strategies, models, and the motivation behind smart cities by analyzing two smart city project cases in medium-sized cities, i.e., Gimpo and Namyangju in South Korea. The case of Smartopia Gimpo represents a top-down, infrastructure-focused smart city innovation that invested in building state-of-the-art big data infrastructure for crime prevention, traffic alleviation, environmental preservation, and disaster management. On the other hand, Namyangju 4.0 represents a strategy focused on internal process innovation through extensive employee training and education regarding smart city concepts and emphasizing data-driven (rather than infrastructure-driven) policy decision making. This study explores two smart city strategies and how they resulted in distinctively different outcomes. We found that instilling a culture of innovation through the training of government managers and frontline workers is a critical component in achieving a holistic and sustainable smart city transformation that can survive leadership changes.
Highlights
The “smart city” is becoming one of the most compelling tools for local governments who are seeking to meet sustainable development goals, achieve a higher quality of life for residents, improve government efficiency, and bring about collaborative governance.City governments are required to modernize their operations and management to tackle persistent urban problems and respond to society’s complex needs
Smartopia Gimpo is an integrated city management facility, called the Smartopia Center, equipped with a big data city control system consisting of an intelligent CCTV system and a multi-image analysis solution
Smartopia Gimpo represents a top-down, infrastructure-focused smart city innovation that invested in the creation of a state-of-the-art, big data city control system consisting of an intelligent CCTV system, Internet of Things (IoT), and multi-image analysis solutions that can function as a real-time big data service platform
Summary
City governments are required to modernize their operations and management to tackle persistent urban problems and respond to society’s complex needs. A smart city approach allows city officials to make more informed decisions. Smart city projects worldwide over the past ten years have increasingly involved the merging of a great variety of city data and technologies. Big urban cities pioneered the smart innovation movement; as such, a smart city is often perceived as an “urban labeling” phenomenon [2,3,4,5]. Smart city projects are not limited to big and high-tech regions. Smart cities can encapsulate the attributes of diverse cities and communities, regardless of their size and technological capacities
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