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Ying Long

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.

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.

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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.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Explores urban development in China, which is relevant to students interested in urbanization and city planning
Teaches methods for big data acquisition, analysis, and visualization, which are essential skills for understanding urbanizing China
Taught by Ying Long, a recognized expert in big data analysis and urban planning
Examines the use of big data in urban planning, a topic highly relevant to professionals in the field
Intended for students with some background in urban planning or big data analysis

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Big Data for Understanding Urbanizing China | 大数据与城市规划 with these activities:
Tutorials on big data visualization tools
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.
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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
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.
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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
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.
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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
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.
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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
Create a data visualization that demonstrates your understanding of how to use big data to analyze urban change in China.
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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
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.
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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
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.
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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
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.
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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.

Career center

Learners who complete Big Data for Understanding Urbanizing China | 大数据与城市规划 will develop knowledge and skills that may be useful to these careers:
Urban and Regional Planner
Urban and Regional Planners ensure that communities follow urban planning policies. Planners work to improve communities socially, economically, and environmentally. The issues addressed by Urban and Regional Planners are similar to the topics addressed in this course such as, urban life, lifestyle of citizens, ICT, and open data. There is a significant overlap between this course and Urban and Regional Planning, which should provide a valuable foundation for a career as an Urban and Regional Planner.
Transportation Planner
Transportation Planners help with community development projects including land use planning, transportation projects, and public-transit solutions. Planners rely on data analysis to understand current situations and propose new ways of thinking. This course will provide foundational knowledge in data acquisition, analysis, and visualization, which will be applicable to a career as a Transportation Planner.
Software Engineer
Software Engineers build the programs, applications, and systems that we use each day. Engineers use data, algorithms, and programs to create new technologies. Many aspects of this course could prove helpful to someone wishing to be a Software Engineer, especially with regard to the sections on data analysis and visualization. Engineers need a solid understanding of data to build robust software.
Data Analyst
Data Analysts interpret data to help companies and organizations make informed decisions. Analysts examine, verify, and interpret data, so findings and results can be used to make informed choices. The data analysis methods used in this course will also be used to make informed choices in the workplace, making it an excellent fit for a Data Analyst role.
Data Scientist
Data Scientists work with large amounts of data to make predictions, identify trends, and solve problems. Data Scientists often use mathematical modeling to uncover insights in data, which is a topic covered in this course. By taking this course, you will gain a more comprehensive understanding of the data analysis tools and techniques you'll use as a Data Scientist.
Market Researcher
Market Researchers conduct research to better understand a target audience. Research can include demographics, socioeconomic factors, beliefs, and motivations. This course will introduce you to various "Big Data" techniques that can be applied to market research to collect, analyze, and visualize data to better understand the market and your customers.
Public Policy Analyst
Public Policy Analysts research, analyze, and make recommendations on public policy that is most optimal. This course will help you build a strong foundation in analyzing big data which could aid in the development and evaluation of public policy. It will be besonders helpful for analysts who conduct research on policies related to urban planning.
Chief Data Officer
The Chief Data Officer manages data strategy within an organization to ensure that data is used effectively and ethically. This course may be particularly helpful for Chief Data Officers in the real estate or urban planning sectors. The course will provide a baseline understanding of urban planning in China in the age of ICT and big data.
Product Manager
Product Managers are responsible for developing and managing the life-cycle of a product. This type of role involves conducting user research, working with engineers to develop a solution, and monitoring the business results of a product. The big data analysis and visualization techniques taught in this course will be useful for product managers performing user research.
Statistician
Statisticians collect, analyze, interpret, and present data. This course will teach you advanced techniques for analyzing big data. This should make you more competitive in the job market as a Statistician.
Data Architect
Data Architects design and implement big data solutions. This course would be beneficial for learning techniques that aid in the structuring of big data in the context of urban planning in China.
Information Technology (IT) Manager
IT Managers organize and coordinate information systems within an organization. This course would be useful for IT Managers in urban planning departments.
Civil Engineer
Civil Engineers design, construct, and maintain the physical and natural built environment. This course may be useful for Civil Engineers specializing in urban planning.
Geospatial Analyst
Geospatial Analysts use geographic data to solve problems. This course will teach you data analysis techniques that will be useful as a Geospatial Analyst.
Computer Scientist
Computer Scientists design and develop computer systems and applications. The data analysis techniques taught in this course would be useful to a Computer Scientist working with big data.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Big Data for Understanding Urbanizing China | 大数据与城市规划.
本书提供了大数据分析的基础知识,包括数据采集、数据处理、数据分析和可视化等方面。
这本书探讨了大数据、物联网和公民创新在打造智慧城市中的作用,为理解中国城市化进程中的技术趋势提供参考。
本书简要介绍了机器学习和数据分析的基础知识,重点关注如何从数据中提取信息并从中学习。
本书介绍了城市规划的具体技术方法,对于理解城市规划的具体操作和实施至关重要。
本书提供了城市社会学的理论基础,对于理解城市社会结构和变化至关重要。
这本书是城市规划领域的经典著作,提出了城市意象的概念,有助于理解城市居民对城市空间的感知和体验。
这本书从历史的角度探讨了城市景观的意义和作用,有助于理解城市空间与城市居民之间的互动关系。

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