Most cities have adopted smart city services to solve urban problems. However, an examination of their operations reveals that many of these services have either been discontinued or have failed to advance further since they were not profitable. Therefore, this study reviews and proposes the business models of smart city services at a fundamental level. It defines and classifies the smart city service focusing on transportation and the components. The business model has been constructed for electric vehicles and autonomous shuttle businesses in terms of transportation services. It found that the model was profitable in each business only when various stakeholders were linked for mutual interests. Since various service stakeholders cooperate in smart city service, if one of them is unable to secure profitability, it is difficult to operate the smart city service fully. Therefore, a detailed review of the business model is required before providing a smart city service.
A proposed countermeasure to COVID-19 is a robust healthcare system that can respond and identify transmission paths using information technology. This involves the use of smart city services for tracking an infected person. However, during the COVID-19 pandemic, the healthcare system could only provide data on the number of infected people. Additionally, smart city services could respond neither timely nor sequentially. This study proposed a method for timely and sequential responses, through a flexible combination of the healthcare system and smart city services by envisioning a scenario that sequentially grafts the current status of COVID-19 in Korea. The results are the following. First, the COVID-19 outbreak was summarized in the context of the healthcare system and current smart city services. A method by which the latter could respond to the various needs of the former was suggested. Second, recommendations on combining or dismissing certain smart city services, as per the needs of coping with COVID-19, were summarized. Third, smart city services must be utilized only for addressing pandemics, as data from the healthcare system consists of personal information. Therefore, smart city services for responding to COVID-19 must be flexible.
Urban regeneration by participatory methods is being discussed in many parts of the world, but conflicts between stakeholders emerge as a major challenge. In order to address this problem, a new approach to urban regeneration has been attempted in Korea. By targeting towns with university campuses, this project encourages active participation from university students as well as local residents. As a result of COVID-19 restrictions, the project adopted an online-based communication strategy. First, the online data was collected; second, the data for each participant was classified through data refinement; and third, the data analysis and data visualization were carried out at each stage using program R. The results revealed that the stakeholders exhibited different perceptions about the process, indicating a potential benefit of distinct role division for the success of the multiparty project. The significance of this study lies in the fact that it analyzes participants’ perceptions of urban regeneration using a text-mining process. The results of the study can serve as the basis for minimizing conflict and planning effective urban regeneration.
Various countries are preparing for the introduction of urban air mobility (UAM) vehicles, which move freely within the space above a city, as a new means of urban transportation. However, UAM vehicles present new forms of challenges to many urban residents. This study aims to propose newly sensory standards for the noise levels of UAM vehicles in urban indoor spaces based on two fundamental questions: (1) Would UAM vehicles not have a lower and wider impact on city residents than a commercial aircraft? (2) Should the flight of UAM vehicles not consider the sensory noise, like the conventional noise standard? UAM vehicles, unlike commercial aircrafts, will cause noise pollution in a broad area of the city. Therefore, expanded aircraft noise standards will be required. In addition, the hybridized noise generated by conventional vehicles in the ground and UAM vehicles in the air will affect urban residents. Furthermore, urban residents will be exposed to sensory noise from UAM vehicles, which fly directly above them but not within their line of sight. Therefore, the noise standards for UAM vehicles should include the sensory properties in addition to the physical properties in the existing noise standards.
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