SAGAR_D_DS611_SU23_CASESTUDY5
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Campbellsville University *
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Geography
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Feb 20, 2024
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docx
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Uploaded by Highness_Willpower_Wildcat9
Running head: [CASE STUDY 5]
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Case Study 5
Durga Sagar
Campbellsville University
[CASE STUDY 5]
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Case Study 5
Here are some more details about the technologies mentioned in the video:
Air quality sensors
are typically small devices that are placed in public areas to measure the levels of pollutants in the air. This data can be used to track air quality over time and identify areas where pollution is a problem. For example, the city of Valencia uses air quality sensors to monitor the levels of nitrogen dioxide, particulate matter, and ozone. This data is used to improve public transportation and reduce emissions ([Euronews], 2017).
Traffic flow sensors
are typically used to measure the volume and speed of traffic. This data can be used to identify traffic congestion hotspots and improve traffic flow. For example, the city of London uses traffic flow sensors to monitor traffic on its roads and public transportation system. This data is used to adjust traffic signals and improve public
transportation schedules ([Euronews], 2017).
Smart grid
is a system that uses digital technology to manage the flow of electricity. This system can help to reduce peak energy usage and save money. For example, the city of Amsterdam uses a smart grid to manage its energy usage. This system allows the city to better balance supply and demand, which can help to reduce peak energy usage and save money.
Water sensors
are typically used to measure the quality and quantity of water. This data can be used to track water quality over time and identify areas where flooding is a risk. For example, the city of Amsterdam uses water sensors to monitor the quality and quantity of water in its canals. This data is used to improve water management and protect the city from flooding ([Euronews], 2017).
[CASE STUDY 5]
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These are just a few of the many technologies that are being used to make cities more sustainable. As these technologies continue to develop, we can expect to see even more innovative ways to reduce our environmental impact.
Here are some additional benefits of using these technologies:
Air quality sensors
can help to improve public health by reducing exposure to pollutants
([Euronews], 2017).
Traffic flow sensors
can help to reduce traffic congestion and improve air quality.
Smart grids
can help to reduce energy consumption and save money ([Euronews], 2017).
Water sensors
can help to protect cities from flooding and improve water quality.
Overall, these technologies have the potential to make a significant positive impact on the environment. As they continue to develop, we can expect to see even more innovative ways to use them to improve sustainability.
Here are the steps in the process and the applications that were likely used in IoT:
Steps in the process:
1.
Define the purpose of the smart city initiative.
What are the goals of the initiative? What problems are you trying to solve?
2.
Identify the stakeholders.
Who are the people or organizations that will be affected by the initiative? (Sancino & Hudson, 2020)
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3.
Understand the context.
What is the current state of the city? What are the challenges and opportunities?
4.
Develop a vision.
What does the city want to achieve with the smart city initiative? (Sancino & Hudson, 2020)
5.
Create a roadmap.
How will the city achieve its vision? What are the steps involved?
6.
Implement the roadmap.
This is where the IoT applications come in. The city will need to deploy sensors, networks, and other technologies to collect data and make decisions (Sancino & Hudson, 2020).
7.
Evaluate the results.
How is the smart city initiative performing? Are the goals being met?
IoT applications:
Air quality monitoring:
Sensors can be used to measure the levels of pollutants in the air. This data can be used to track air quality over time and identify areas where pollution is a problem (Sancino & Hudson, 2020).
Traffic flow monitoring:
Sensors can be used to measure the volume and speed of traffic. This data can be used to identify traffic congestion hotspots and improve traffic flow.
Smart grid:
A smart grid is a system that uses digital technology to manage the flow of electricity. This system can help to reduce peak energy usage and save money (Sancino & Hudson, 2020).
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Water management:
Sensors can be used to measure the quality and quantity of water. This data can be used to track water quality over time and identify areas where flooding is a risk (Sancino & Hudson, 2020).
These are just a few of the many IoT applications that can be used in smart cities. As the technology continues to develop, we can expect to see even more innovative ways to use IoT to improve the lives of citizens.
The article also mentions the following IoT applications:
Smart parking:
Sensors can be used to track the availability of parking spaces. This data
can be used to help drivers find parking more easily.
Smart lighting:
Sensors can be used to automatically adjust streetlights based on the amount of traffic. This can help to save energy and improve safety (Sancino & Hudson, 2020).
Smart waste management:
Sensors can be used to track the collection of waste. This data can be used to improve the efficiency of waste collection and reduce pollution.
These are just a few examples of the many ways that IoT can be used to improve the efficiency and sustainability of cities. As the technology continues to develop, we can expect to see even more innovative ways to use IoT to make cities smarter and more livable.
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The smart components used in this project include:
Sensors:
Sensors are used to collect data about the environment, such as air quality, traffic flow, and water quality.
Networks:
Networks are used to transmit data from sensors to the cloud.
Cloud computing:
Cloud computing is used to store and process data from sensors.
Data analytics:
Data analytics is used to analyze data from sensors to identify patterns and trends ([Transforming.], 2020).
Decision-making tools:
Decision-making tools are used to make decisions based on the analysis of data from sensors.
These smart components are used to create a system that can collect data, analyze it, and make decisions to improve the efficiency and sustainability of cities. For example, sensors can be used to measure air quality and traffic flow. This data can be used to identify areas where pollution is a problem and to improve traffic flow ([Transforming.], 2020). Networks can be used to transmit
data from sensors to the cloud. Cloud computing can be used to store and process data from sensors. Data analytics can be used to analyze data from sensors to identify patterns and trends. Decision-making tools can be used to make decisions based on the analysis of data from sensors ([Transforming.], 2020).
As the technology continues to develop, we can expect to see even more innovative ways to use smart components to improve the lives of citizens.
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References
Euronews. (2017, February 28). How “smart city” technology is connecting Europeans - real economy
[Video]. YouTube. https://www.youtube.com/watch?v=LQX7auEPc_w
Sancino, A., & Hudson, L. (2020). Leadership in, of, and for smart cities – case studies from Europe, America, and Australia. Public Management Review
, 22
(5), 701–725. https://doi.org/10.1080/14719037.2020.1718189
Transforming into a smart city | I amsterdam
. (2020). I Amsterdam. https://www.iamsterdam.com/en/business/transforming-amsterdam-into-a-smart-city