Smart City Strategies—Technology Push or Culture Pull? A Case Study Exploration of Gimpo and Namyangju, South Korea

Myeong, Seunghwan; Kim, Younhee; Ahn, Michael J.

doi:10.3390/smartcities4010003

Cited by 53 publications

(35 citation statements)

References 33 publications

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“…= 0.000) and air pollution management (rho = 0.602 **, sig. = 0.001) is significantly positive [48]. Previous evaluations of collaborative pieces of evidence in the following cases have indicated that decisions to promote government regulations concerning air pollution control require a concise problem, a clearly defined problem-solving strategy, and leadership to support at least some important cooperative groups.…”

Section: Role Of Innovative Leadershipmentioning

confidence: 82%

Integrating Data-Based Strategies and Advanced Technologies with Efficient Air Pollution Management in Smart Cities

Myeong

Shahzad

2021

Sustainability

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The COVID-19 pandemic has demonstrated that creative leadership based on data and citizen volunteers is more significant than vaccines themselves, so this study focuses on the collaboration of sophisticated technologies and human potential to monitor air pollution. Air pollution contributes to critical environmental problems in various towns and cities. With the emergence of the smart city concept, appropriate methods to curb exposure to pollutants must be part of an appropriate urban development policy. This study presents a technologically driven air quality solution for smart cities that advertises energy-efficient and cleaner sequestration in these areas. It attempts to explore how to incorporate data-driven approaches and citizen participation into effective public sector pollution management in smart cities as a major component of the smart city definition. The smart city idea was developed as cities became more widespread through communication devices. This study addresses the technical criteria for implementing a framework that public administration can use to prepare for renovation of public buildings, minimizing energy use and costs and linking smart police stations to monitor air pollution as a part of an integrated city. Such a digital transition in resource management will increase public governance energy performance and provide a higher standard for operations and a healthier environment. The study results indicate that complex processes lead to efficient and sustainable smart cities. This research discovered an interpretive pattern in how public agencies, private enterprises, and community members think and what they do in these regional contexts. It concludes that economic and social benefits could be realized by exploiting data-driven smart city development for its social and spatial complexities.

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Section: Role Of Innovative Leadershipmentioning

confidence: 82%

Integrating Data-Based Strategies and Advanced Technologies with Efficient Air Pollution Management in Smart Cities

Myeong

Shahzad

2021

Sustainability

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“…However, in large-scale IoT networks, to relieve the load on the IoT platform, a portion of storage and computation tasks are allocated to the edge devices [ 16 ]. In Gimpo-si, an IoT-based sensor service was built for crime prevention [ 17 ]. The edge computing device, such as a mobile device, cannot afford to store the metadata of all the sensors in a medium-sized city.…”

Section: Related Workmentioning

confidence: 99%

LSTM-Based Path Prediction for Effective Sensor Filtering in Sensor Registry System

Chen

Lee

et al. 2021

Sensors

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The Internet of Things (IoT) is expected to provide intelligent services by receiving heterogeneous data from ambient sensors. A mobile device employs a sensor registry system (SRS) to present metadata from ambient sensors, then connects directly for meaningful data. The SRS should provide metadata for sensors that may be successfully connected. This process is location-based and is also known as sensor filtering. In reality, GPS sometimes shows the wrong position and thus leads to a failed connection. We propose a dual collaboration strategy that simultaneously collects GPS readings and predictions from historical trajectories to improve the probability of successful requests between mobile devices and ambient sensors. We also update the evaluation approach of sensor filtering in SRS by introducing a Monte Carlo-based simulation flow to measure the service provision rate. The empirical study shows that the LSTM-based path prediction can compensate for the loss of location abnormalities and is an effective sensor filtering model.

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“…В городе тестируются и применяются различные технологии «умного дома» и «умного города», тем самым привлекая внимание международных инвесторов к реализации последующих проектов в этом направлении 19 . Параллельно ведется разработка еще двух проектов «умных городов» -Кимпхо (Smartopia Gimpo) и Намянджу (NamYangJu 4.0) (Myeong et al, 2021). Первый проект сосредоточился на обеспечении безопасности граждан, предупреждении преступности и оповещении о стихийных бедствиях с помощью таких технологий, как Интернет вещей и большие данные.…”

Section: рис 2 стратегические инициативы (программы) по развитию цифровой экономики в южной корее / Fig 2 Strategic Initiatives (Programsunclassified

Strategic programs for digitalizing the economy of South Korea

Shpakova¹,

Goriunova²

2021

Ars Administrandi

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Введение: в настоящее время всеобщая цифровизация способствует активному изменению структуры и устройства экономических систем разных стран. Цифровые преобразования становятся отправной точкой для совершенствования национальных экономик и значимым параметром мирового экономического роста. Стратегические программы в области цифровизации экономики являются ключевыми инициативами для дальнейшего развития Республики Корея. Цель: изучение стратегических программ в области цифровизации экономики на примере Республики Корея как страны-лидера в данной сфере, что позволит выявить способы решения проблем, связанных с цифровой трансформацией экономики и сформировать возможные направления реализации стратегических программ для цифровизации российской экономики. Методы: сравнительный анализ, исторический подход, метод статики и динамики, формально-логический метод. Результаты: в работе проанализированы условия, в которых разрабатывались и принимались стратегические программы в области цифровизации экономики в Республике Корея, их цели и приоритеты, осуществлено сравнение трех стратегических программ, начиная с 2014 года: "Manufacturing Innovation 3.0 Initiative", "I-Korea 4.0" и "Korean New Deal". Выводы: южнокорейские стратегические программы в области цифровизации экономики характеризуются преемственностью, государственным финансированием НИОКР, поддержкой малого и среднего бизнеса, корректировкой приоритетов в ответ на внешние вызовы. Предложены возмож- ЭКОНОМИЧЕСКАЯ ПОЛИТИКА И УПРАВЛЕНИЕ ЭКОНОМИЧЕСКИМ РАЗВИТИЕМIV

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Smart City Strategies—Technology Push or Culture Pull? A Case Study Exploration of Gimpo and Namyangju, South Korea

Cited by 53 publications

References 33 publications

Integrating Data-Based Strategies and Advanced Technologies with Efficient Air Pollution Management in Smart Cities

Integrating Data-Based Strategies and Advanced Technologies with Efficient Air Pollution Management in Smart Cities

LSTM-Based Path Prediction for Effective Sensor Filtering in Sensor Registry System

Strategic programs for digitalizing the economy of South Korea

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