Course title
Techniques of Analysis for Urban Planning Research

yasmin bhattacharya
Course description
This lecture will introduce data scraping techniques to collect web-based data and teach existing statistical methods for analyzing these data with a focus on urban environment data analysis. It will introduce students to analytical approaches in urban planning research. Computer-based analysis techniques using R-programming will also be used.
Purpose of class
This course develops the modeling skills essential for theoretical research in urban planning. It is aimed at students entering into research, and introduces the approach of solving real urban planning problems through the use of models and spatial analysis. Majority of the classes will include computer-based hands-on work and lectures to introduce the concepts and theories.
Goals and objectives

Goals and objectives Course Outcomes
1. Students will learn statistical methods
2. Students will learn the application of spatial analysis in urban planning
3. Students will learn to find and solve urban planning problems through the application of spatial analyses
Class schedule

Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Introduction to course Relevant readings for next class 120分
2. Introduction to types of research in urban planning. Why is data-oriented research important for urban planning? Relevant readings for next class 120分
3. What is big-data? How can we get data? -Hands on session on data-scraping Do Tutorial sheets 1 150分
4. Introduction to Statistical Methods: Tabulation and representation of data; Measures of Central Tendency and Variances. Relevant readings for next class 120分
5. Exploring the data in Rstudio: -Hands on sesssion Do Tutorial sheets 2 150分
Relevant readings for next class 120分
6. Prepare for Mid-term presentation Presentation preparation 120分
7. Mid-term presentation Relevant readings for next class 120分
8. Correlation Analysis and Regression Analysis: methods and application. Relevant readings for next class 120分
9. Regression analysis in Rstudio: -Hands on sesssion Do Tutorial sheets 3 150分
Relevant readings for next class 120分
10. Regression analysis in GIS (Geographically Weighted Regression): -Hands on sesssion Do Tutorial sheets 4 150分
Relevant reading 120分
11. Forecasting and Time series analysis. Introduction to Non-linear trends. Discuss final report and presentation requirements. Do Tutorial sheets 5 150分
Decide on report subject 30分
Relevant reading 120分
12. Preparation for Final Presentation Report writing 180分
Presentation preparation 120分
13. Preparation for Final Presentation Report writing 180分
Presentation preparation 120分
14. Final Presentation and Report submission Report writing and submission 120分
Total. - - 2700分
Relationship between 'Goals and Objectives' and 'Course Outcomes'

Class Discussions Tutorial/Assignments Mid-term Presentation Final Presentation Report Total.
1. 10% 15% 5% 30%
2. 10% 10% 5% 25%
3. 15% 10% 10% 10% 45%
4. 0%
5. 0%
Total. 20% 40% 10% 10% 20% -
Evaluation method and criteria
Your attendance will be checked according to the ID card checking machine. Being absent for more than 5 classes will result in D grade.

The evaluation scores will be weighted as:
Class Discussions (20%) - active participation in discussions is expected. Class discussions will be based on readings related to the lecture given before class.
Tutorial/Assignments (25%) (individual) -students should complete all tutorial sheets and hand-in their results.
Mid-term and Final presentation (25%) (group or individual) -students are expected to conduct and present a sample analysis of their problem.
Reports (30%) (individual) -compile a report regarding the problem of your choice and explain how the proposed problem may be solved through spatial analysis.
Textbooks and reference materials
There is no set textbook and readings will be provided from different sources.
Interest in urban planning, data analysis and modeling is desired.
Basic Datascraping, R, GIS skills would be advantageous.
Office hours and How to contact professors for questions
  • Office Hours: Wednesday = 12:00 – 13:00
  • Questions by email can be accepted at any time. E-mail:
Regionally-oriented course
Development of social and professional independence
  • Course that cultivates an ability for utilizing knowledge
  • Course that cultivates a basic interpersonal skills
  • Course that cultivates a basic problem-solving skills
Active-learning course
Most classes are interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicable
Education related SDGs:the Sustainable Development Goals
Last modified : Sun Mar 21 17:16:13 JST 2021