According to the World Health Organization (WHO), urban population is expected to grow steadily between 2020 and 2025, with population density expected to increase by 1.63% every year, with the global urban population ratio expected to reach 68.4% by ...
According to the World Health Organization (WHO), urban population is expected to grow steadily between 2020 and 2025, with population density expected to increase by 1.63% every year, with the global urban population ratio expected to reach 68.4% by 2050, up from 55.3% as of 2018. This means that more than half of the world's population lives in cities, and that large-scale migration to cities continuously.
Smart city was seeking to continue the transformation and development to resolve the urban problems Such as urbanization had ancillary problems, such as lack of security, environmental problems, and traffic problems.
As the city is the center of social, economic, and political activities, it is inevitable that the population concentration is a necessity, and smart cities have emerged to solve urban problems. smart city means a “intelligent city” that uses advanced information and communication technology (ICT) to solve traffic problems, environmental problems, housing problems, and inefficiency in facilities caused by urban life so that citizens can enjoy convenient and pleasant lives.
The ultimate purpose of such smart cities is to live in cities such as environment, safety, transportation, and disaster, and naturally incorporate IT into everyday life to ultimately improve the quality of life of urbanites. Provide intelligent and interconnected technology and support systems to improve the overall quality of life of residents.
Currently, smart cities are offered various services to citizens, including minimizing congestion with advanced transportation systems, maintaining cleaner air quality and finding more efficient ways to consume energy. It is already obvious that such smart services can be the key to sustainable success in cities.
In the past, if the service provided by U-City, the predecessor of smart city, was a top-down method that was convenient and unidirectional in administration, the current smart city service can be said to be a Bottom-Up method with citizens, participating and leading.
However, the level of service felt by citizens living in smart cities has been found to be lower than the level of technological maturity actually provided, and in this study, we want to study the willingness of citizens living in smart cities to accept the services they feel.
The design of the research model applied an extended portion of the existing Technology Acceptance Model (TAM) to study areas that affect acceptance by group as adjustment variables, using prior knowledge, reliability, individual innovation, intimacy, and cost payment intent as measurement variables, perceived ease and perceived usefulness as parameters, and service acceptance as dependent variables.
The survey and analysis methods were conducted according to the level of actual experience of each class by surveying and surveying the same details of citizens living in the Seoul metropolitan area and related public officials planning and preparing for smart cities.
This study surveyed and analyzed both citizens of service users and civil servants of service providers. The variables were divided into User Characteristic and Service Characteristic to analyze the relationship between cognitive ease of service and cognitive usefulness to influence service acceptance intention.
In addition, it was confirmed that the result of pursuing convenience and efficiency of the smart service based on the reliability, intimacy, and individual innovation of the new technology for the service user has been derived, and it can be paid for this.
In order to induce active participation of related smart city services by citizens living in smart cities and to experience actual service provision, services must be provided in a variety of forms in an equitable manner. and actually experience service is able to solving the urban problems to be easier.
Key words: Smart City, Citizen-sensitized service, Solution to urban problems, Service acceptance intention, Urban function strengthening.