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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.

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.

Traffic lights

Read about what's good
what should give you pause
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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Reviews summary

大数据与城市规划:中国城市化洞察

根据学生反馈,本课程在理解中国城市化进程与城市规划方面提供了独到的视角,普遍获得积极评价。学习者尤其赞赏其对大数据获取、分析与可视化方法的深入讲解,以及如何将其应用于中国城市研究的丰富案例。课程内容兼具理论深度与实践指导,帮助学生掌握城市大数据分析的实用技能。然而,部分评论指出,对于缺乏数据分析或城市规划背景的初学者,课程可能存在一定的挑战性,建议具备相关前置知识以获得最佳学习体验。总体而言,该课程被视为前瞻性强且高度相关,对专业人士和研究者极具价值。
教师讲解清晰,概念阐释到位。
"老师的讲解非常清晰,复杂的概念也能用简单的方式表达出来。"
"我觉得课程结构逻辑性很强,老师把每部分都讲得很明白,很容易理解。"
"讲师的专业知识很扎实,能够清楚地传达课程的核心思想和方法。"
课程内容前沿,探讨大数据在城市规划中的未来走向。
"我喜欢课程的未来展望部分,它让我对大数据在城市规划领域的潜力有了新的认识。"
"课程不仅讲了现状,还探讨了像Data Augmented Design这样的前沿理念,很有启发性。"
"我认为这门课对于理解城市大数据发展的最新趋势非常重要,内容很有深度。"
学习数据获取、清洗、分析与可视化的核心技能。
"课程让我系统地掌握了大数据从获取到可视化的全流程方法,受益匪浅。"
"我学会了处理各种城市大数据的方法,这在我的工作中非常实用,提升了我的数据分析能力。"
"课程很好地讲解了数据处理和分析的工具和技巧,我觉得这些知识非常实用。"
结合中国城市化实践,课程内容极具实用价值。
"课程中大量的中国实际案例非常宝贵,让我能将理论知识与中国国情结合起来理解。"
"我最喜欢的是课程提供了很多具体的中国城市大数据应用场景,非常接地气,可以直接拿来参考。"
"通过学习,我能更好地理解中国城市规划中大数据的应用,这对我研究中国城市很有帮助。"
建议学习者具备一定数据分析或城市规划背景。
"如果之前没有数据分析的基础,刚开始会感觉有点吃力,需要额外补充知识。"
"我觉得课程内容对于完全的初学者来说可能有点快,最好有一些城市规划概念或数据基础。"
"虽然课程很好,但我发现如果能有一些Python或GIS基础会学得更轻松,理解更深入。"

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.
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
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
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
Expand to see all activities and additional details
Show all eight activities
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.
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
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
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
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
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.

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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