In the past few decades, China's cities have experienced a period of rapid development. Great changes have taken place in both urban space and urban life. With the booming of information and communications technology (ICT), ‘Big data’ such as mobile phone signaling, public transportation smart card records and ‘open data’ from commercial websites and government websites jointly promote the formation of the ‘new data environment’, thus providing a novel perspective for a better understanding of what changes have happened or are happening in China’s cities.
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In the past few decades, China's cities have experienced a period of rapid development. Great changes have taken place in both urban space and urban life. With the booming of information and communications technology (ICT), ‘Big data’ such as mobile phone signaling, public transportation smart card records and ‘open data’ from commercial websites and government websites jointly promote the formation of the ‘new data environment’, thus providing a novel perspective for a better understanding of what changes have happened or are happening in China’s cities.
In the past few decades, China's cities have experienced a period of rapid development. Great changes have taken place in both urban space and urban life. With the booming of information and communications technology (ICT), ‘Big data’ such as mobile phone signaling, public transportation smart card records and ‘open data’ from commercial websites and government websites jointly promote the formation of the ‘new data environment’, thus providing a novel perspective for a better understanding of what changes have happened or are happening in China’s cities.
This course combines both the new data generated for urban analysis and its research applications. The content ranges from big data acquisition, analysis, visualization and applications in the context of China’s urbanization and its city planning, to urban modeling methods and typical models, as well as the emerging trend and potential revolution of big data in urban planning.
We have categorized the overall content of this online course into five sections, namely, overview, data, data processing, application, and perspective. The section of overview introduces cities in transition and describe the changing of urban space and urban life in China. The second section lists some commonly used open data and big data in the ‘new data environment’. Then, methods for data acquisition, cleaning and analysis are illustrated in data processing section. To better explain the data analysis method, the fourth part introduces several Chinese research cases to illustrate the application of these methods in urban research. Last but not least, the last section is the most future-oriented one, which is composed of some methodologies and proposals such as Data Augmented Design (DAD) and Big Model.
This course, which shares experiences on big data analysis and its research application, will suit those concerning contemporary urbanizing China and its urban planning in the context of information and communication technologies.
What's inside
Learning objectives
- Lunderstand current china’s cities, lifestyles of citizensand the country’s urban planning system.
- Llearn about the new data, method, and practice of recent progresses on big data and their research applications.
- Lgrasp methods ofbig data acquisition, analysis andvisualization to understand urbanizing china.
- Lunderstand current china’s cities, lifestyles of citizensand the country’s urban planning system.
- Llearn about the new data, method, and practice of recent progresses on big data and their research applications.
- Lgrasp methods ofbig data acquisition, analysis andvisualization to understand urbanizing china.
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Activities
Tutorials on big data visualization tools
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Improve your data visualization skills by following tutorials on big data visualization tools. This will help you to create more effective and informative data visualizations.
Browse courses on
Big Data
Show steps
-
Find a set of tutorials that are appropriate for your skill level.
-
Follow the tutorials and complete the exercises.
-
Create your own data visualization using the techniques you learned in the tutorials.
Find a mentor in the field of big data in urban planning
Show steps
Find a mentor in the field of big data in urban planning. This could be a professor, researcher, or professional who can provide you with guidance and support as you learn about the field.
Browse courses on
Big Data
Show steps
-
Identify potential mentors.
-
Reach out to potential mentors and ask if they would be willing to mentor you.
-
Meet with your mentor regularly to discuss your progress and goals.
Coding exercises on big data analysis
Show steps
Practice your big data analysis skills by completing coding exercises. This will help you to improve your understanding of the concepts and techniques of big data analysis.
Browse courses on
Big Data
Show steps
-
Find a set of coding exercises that are appropriate for your skill level.
-
Complete the coding exercises.
-
Review your results and identify areas where you need to improve.
Five other activities
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Discussion group on big data in urban planning
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Join a discussion group to discuss big data in urban planning with other students. This will help you to learn from others and to gain new perspectives on the topic.
Browse courses on
Big Data
Show steps
-
Find a discussion group that is appropriate for your interests.
-
Participate in the discussion group by asking questions, sharing your thoughts, and responding to others.
Data visualization project
Show steps
Create a data visualization that demonstrates your understanding of how to use big data to analyze urban change in China.
Browse courses on
Data Visualization
Show steps
-
Identify a dataset that you would like to use for your project.
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Decide what type of visualization you would like to create.
-
Create your visualization using a data visualization tool.
-
Write a brief report that describes your project and your findings.
Blog post about big data in urban planning
Show steps
Write a blog post that discusses the use of big data in urban planning. In your post, you could discuss the benefits and challenges of using big data for urban planning, and you could provide examples of how big data is being used to improve cities.
Browse courses on
Big Data
Show steps
-
Choose a topic for your blog post.
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Research the topic and gather information from credible sources.
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Write your blog post.
-
Promote your blog post on social media and other online platforms.
Compilation of resources on big data in urban planning
Show steps
Create a compilation of resources on big data in urban planning. This could include articles, blog posts, videos, and other materials. This will help you to stay up-to-date on the latest developments in the field.
Browse courses on
Big Data
Show steps
-
Search for resources on big data in urban planning.
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Compile the resources into a document or website.
-
Share your compilation with other students and professionals.
Big data hackathon
Show steps
Participate in a big data hackathon to apply your skills to a real-world problem. This will help you to gain experience in using big data to solve problems and to network with other professionals in the field.
Browse courses on
Big Data
Show steps
-
Find a big data hackathon that is relevant to your interests.
-
Register for the hackathon.
-
Work with a team to develop a solution to the problem.
-
Present your solution to a panel of judges.
Tutorials on big data visualization tools
Show steps
Improve your data visualization skills by following tutorials on big data visualization tools. This will help you to create more effective and informative data visualizations.
Browse courses on
Big Data
Show steps
- Find a set of tutorials that are appropriate for your skill level.
- Follow the tutorials and complete the exercises.
- Create your own data visualization using the techniques you learned in the tutorials.
Find a mentor in the field of big data in urban planning
Show steps
Find a mentor in the field of big data in urban planning. This could be a professor, researcher, or professional who can provide you with guidance and support as you learn about the field.
Browse courses on
Big Data
Show steps
- Identify potential mentors.
- Reach out to potential mentors and ask if they would be willing to mentor you.
- Meet with your mentor regularly to discuss your progress and goals.
Coding exercises on big data analysis
Show steps
Practice your big data analysis skills by completing coding exercises. This will help you to improve your understanding of the concepts and techniques of big data analysis.
Browse courses on
Big Data
Show steps
- Find a set of coding exercises that are appropriate for your skill level.
- Complete the coding exercises.
- Review your results and identify areas where you need to improve.
Discussion group on big data in urban planning
Show steps
Join a discussion group to discuss big data in urban planning with other students. This will help you to learn from others and to gain new perspectives on the topic.
Browse courses on
Big Data
Show steps
- Find a discussion group that is appropriate for your interests.
- Participate in the discussion group by asking questions, sharing your thoughts, and responding to others.
Data visualization project
Show steps
Create a data visualization that demonstrates your understanding of how to use big data to analyze urban change in China.
Browse courses on
Data Visualization
Show steps
- Identify a dataset that you would like to use for your project.
- Decide what type of visualization you would like to create.
- Create your visualization using a data visualization tool.
- Write a brief report that describes your project and your findings.
Blog post about big data in urban planning
Show steps
Write a blog post that discusses the use of big data in urban planning. In your post, you could discuss the benefits and challenges of using big data for urban planning, and you could provide examples of how big data is being used to improve cities.
Browse courses on
Big Data
Show steps
- Choose a topic for your blog post.
- Research the topic and gather information from credible sources.
- Write your blog post.
- Promote your blog post on social media and other online platforms.
Compilation of resources on big data in urban planning
Show steps
Create a compilation of resources on big data in urban planning. This could include articles, blog posts, videos, and other materials. This will help you to stay up-to-date on the latest developments in the field.
Browse courses on
Big Data
Show steps
- Search for resources on big data in urban planning.
- Compile the resources into a document or website.
- Share your compilation with other students and professionals.
Big data hackathon
Show steps
Participate in a big data hackathon to apply your skills to a real-world problem. This will help you to gain experience in using big data to solve problems and to network with other professionals in the field.
Browse courses on
Big Data
Show steps
- Find a big data hackathon that is relevant to your interests.
- Register for the hackathon.
- Work with a team to develop a solution to the problem.
- Present your solution to a panel of judges.
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