Definition
Personally, the smart city is using data to connect all of the resources in this city and to make people’s life easier than before. And, many things are automatically in that city to increase people’s work effectively. The main reason that makes me feel it is a good definition is it directly explains what is the difference between a smart city and a traditional city, and the smart city core is automatic. And, this article gave me a good example to lead me to think about this way, “there is much needed in terms of physical infrastructure, a smart city, the digital technologies translate into better public services for inhabitants and better use of resources while reducing environmental impacts.” (Mohanty et al., 2016).
Smart City Data Management
Cras number, traffic system management, city resources design, and parking lots system will influence a city of congestion. We can see many congested cities have very bad traffic systems, and these systems use low effectiveness and performance to solve the congestion problem.
There are many ways to solve this problem, and it needs people to increase their technology to improve their systems. For example, the Smart car system has a good decision-making process in the parking lots and on the road, to prevent congestion, ” Machine Learning (ML) is an efficient approach to finding hidden insights into ITS without being programmed explicitly by learning from data. ” (Saleem et al., 2022).
Additionally, population density is also an important factor affecting congestion because too many people on the street, and will affect traffic speed. We need to design good management for the city which has a large group of people, to highly effective, “Despite its potential for alleviating existing traffic congestion, a government report estimated that the proportion of formal teleworkers in Australia was only 6–7% of total employees and, whilst it did suggest the actual number could be higher due to the presence of informal teleworking arrangements, it did not believe existing data suggested an increasing prevalence of teleworking in Australia (PC, 2014)”(Hopkins & McKay, 2019).
Zurich
Zurich is a very top smart city internationally, and it has much new technology compared to other cities. Its goal is to let every person own a fair resource in this city and not worry about unfair things happening. I think it is cool to see Zurich has good results in managing people in the smart city and a high-performance system to control many potential issues. It collects many users’ data and privacy information in the smart city and it has high privacy in the city to protect their users’ privacy. The article mentioned many things about users’ data needing to have open data to allow more flexible management and analysis, “The spatial data must be Open Government Data to promote dissemination and create new applications.” (Schrotter & Hürzeler, 2020). I think open data is a very correct thing in a smart city because it will make everything very fair and people can where their data going and its condition, also it will be more safety not to worry about cybersecurity thing because users will take care and observe these data condition every moment, “The digital transformation of more and more pieces of the planning and decision-making process will make both increasingly more illustrative, easier to understand and more comprehensible. An important data basis for these processes is the digital twin of the City of Zurich.”(Schrotter & Hürzeler, 2020). The open data will bring a good benefit as many people will cooperate to make the data safe and high performance, to make deep research in the future. However, it also is a very dangerous thing because it is open, and attackers could spend more time researching the data and use this data to do the criminal thing in the future: analyze users’ privacy thing, “he description of the 3D spatial data and their models or the lifecycle management of the digital twin must be carried out with great care. ” (Schrotter & Hürzeler, 2020). To improve the project, I think it could add a government department to focus on observing these data openings. It is like half open and half controlled because it will make some attackers more afraid of these open data and people can have more confidence to use these data in their research area. So this city still could add more hard parts into each building in the city and collect more data to analyze this city’s condition every day, when we have super large data, we can use an AI system to make a high-accuracy decision every time, to have a good city management in the future to help more people solve questions, “With the further planned expansions of the 3D spatial data into an extensive digital twin and new insights from research the use of geodata will intensify and broaden—for internal and external administrative uses. The digital twin will be used to test different scenarios for future planning, for example with regard to changes in density and their effects on the urban climate or on traffic and mobility. ” (Schrotter & Hürzeler, 2020).
Copenhagen
Copenhagen has good manages people’s data in their city, and the government very good cooperates with some companies to share their data to build a good smart city together, and these companies use these data to invest in smart city buildings and systems to make faster than before collecting data process. I think this is a good cooperation in a city because it will make more people and finance to support the smart city, and most people will enjoy these benefits of the smart city project, “enhance municipalities’ competencies in computer-driven urban development and smart city innovations, as well as to create networks and encourage knowledge sharing among the municipalities in the context of accelerated smart city development.” (Bjørner, 2021). It is also careful about users’ privacy data to these companies because they might use these data to make a deep analysis, which is very unfair to many customers and users. So I think we need strict laws and rules to manage this type of corporate and make sure they won’t use these data to do other things, “city governments are dependent on private stakeholders to make sense of the data, since data analytics capacities within government remain rather low. This leads to outsourcing much of what is going on in the big data field with little internal governmental knowledge of what the data can and cannot provide in the context of cities and more specifically for environmental measures.” (Giest, 2017). Also, I think there is another way could also improve the smart city, they can open more jobs in the smart city area, let more ordinary people join this project, and stimulate the project’s speed and quality. However, there is a way should improve this city, they should let more different country’s smart city staff join this city or reference it, it could stand as another way to increase the smart city knowledge and ideas because knowledge could stimulate different cultures, “As a possible innovation approach, the city as a tool for knowledge can also be described in multifaceted and complex development policies within smart city values, and it is often linked to a societal context that includes short- and long-term challenges for the city.”(Bjørner, 2021). Then, we could let users store their own data because they can take this responsibility and they can take care of their data in the maximum range, also government and companies could take less reasonability for that, and some of the users might be from IT or CS major, they could create a new method for their own protection, and government could study their technology to use it in the smart city. I think it will increase the innovation of technology if use this method and also give users more private privacy space for their data, and government could save some money to invest in the technology area, “Big data can refer to different aspects. It can describe the characteristics of the data (massive, rapid, complex, unstructured, etc.), the technological needs behind processing large amounts of data as well as the impact of it on society and politics.” (Giest, 2017).
Taipei City
Taipei is a good living satisfaction place, many people think it is comfortable to living and has more services to provide to people in this city. I think Taipei city gave people lots of comfortable benefits to let people not worry about their basic right to living in this city, and use this city data to increase this city technology and services to fit this city people, “In terms of the living environment, the public and civil society, mainly internal stakeholders in a city, are deeply concerned about tangible facilities, such as the city’s products, services, fixed environment, creation, and entertainment and the accessibility of education, employment, friends, and family” (Wu & Chen, 2021). I think adding more surveys at a fixed time period to ask people’s opinions will help to fix some potential problems in the building smart city system time, especially data protection level and storage because these data will support the whole smart city system, it needs more opinions, “We integrate each key resource of the core operation systems of cities to promote the innovative operation of cities and further optimize city development. We then propose a Big Data platform data flow framework that uses information from ubiquitous sensor networks and information equipment to analyze the Big Data application process of smart cities and determine the resulting advantages and challenges.” (Wu et al., 2018). Then, this system also needs to consider construction in the smart city because it needs chips and some technology to add into it for connecting to government server to easily transmission data, I suggest adding a special chip to personal ID to make government easyily collecting people’s activity and prevent attacker to attack this card, “These types of data are widely used and are provided by the Big Data platform and resource core in the information-based infrastructures of smart cities. The popularization of various new types of smart mobile devices has resulted in the generation of massive volumes of data. The rapid development of the Mobile Network has resulted in explosive growth in the number of smartphone users, number of apps, and the volume of network data traffic. According to statistics determined by the market research firm Sensor Tower regarding app downloads, the number of iOS and Android app downloads in 2016Q1 was 17.2 billion, and gaming and social interaction apps were the most downloaded app types” (Wu et al., 2018). However, I think this city could do more about school thing, it help them educate more people focus on this area and help them build a smart city, and rely to outside of country, and have a quickly speed to take this project in the department, “In the future, the application market of big data in smart cities will constantly grow, and external development and exchange should be expanded. Concentration and development of the urban industrial chain should be fueled with the promotion and application of innovative technologies. Finally, we should also attach importance to setting up a sound data security system and strengthening network security protection. Data assetization is an inevitable trend, and data about the internal operations of enterprises and customer data are valuable data assets. “(Wu et al., 2018).
Reference
Mohanty, S. P., Choppali, U., & Kougianos, E. (2016). Everything you wanted to know about smart cities: The Internet of things is the backbone. IEEE Consumer Electronics Magazine, 5(3), 60-70.
Saleem, M., Abbas, S., Ghazal, T. M., Khan, M. A., Sahawneh, N., & Ahmad, M. (2022). Smart cities: Fusion-based intelligent traffic congestion control system for vehicular networks using machine learning techniques. Egyptian Informatics Journal, 23(3), 417-426.
Hopkins, J. L., & McKay, J. (2019). Investigating ‘anywhere working’as a mechanism for alleviating traffic congestion in smart cities. Technological Forecasting and Social Change, 142, 258-272.
Schrotter, G., & Hürzeler, C. (2020). The digital twin of the city of Zurich for urban planning. PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science, 88(1), 99-112.
Bjørner, T. (2021). The advantages of and barriers to being smart in a smart city: The perceptions of project managers within a smart city cluster project in Greater Copenhagen. Cities, 114, 103187.
Giest, S. (2017). Big data analytics for mitigating carbon emissions in smart cities: opportunities and challenges. European Planning Studies, 25(6), 941-957.
Wu, Y. J., & Chen, J. C. (2021). A structured method for smart city project selection. International Journal of Information Management, 56, 101981.
Wu, S. M., Chen, T. C., Wu, Y. J., & Lytras, M. (2018). Smart cities in Taiwan: A perspective on big data applications. Sustainability, 10(1), 106.
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