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School of Engineering
- Undergraduate major in Mechanical Engineering
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- Common courses
- School of Materials and Chemical Technology
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- School of Life Science and Technology
- School of Environment and Society
- 工学院，物質理工学院，環境・社会理工学院共通科目
- Liberal arts and basic science courses
- First-Year Courses
- School of Science
- School of Engineering
- School of Materials and Chemical Technology
- School of Computing
- School of Life Science and Technology
-
School of Environment and Society
- Department of Architecture and Building Engineering
- Department of Civil and Environmental Engineering
- Department of Transdisciplinary Science and Engineering
- Department of Social and Human Sciences
- Department of Innovation Science
- Graduate major in Technology and Innovation Management
- Common courses
- Liberal arts and basic science courses
- Academic unit or major
- Graduate major in Civil Engineering
- Instructor(s)
- Fukuda Daisuke
- Class Format
- Lecture
- Media-enhanced courses
- Day/Period(Room No.)
- Thr7-8(M321)
- Group
- -
- Course number
- CVE.D403
- Credits
- 1
- Academic year
- 2017
- Offered quarter
- 4Q
- Syllabus updated
- 2017/9/6
- Lecture notes updated
- 2018/1/29
- Language used
- English
- Access Index
-
Course description and aims
This course teaches how principles of economics can be applied to evaluate the effects of transportation plans and/or policies.
Student learning outcomes
By the end of this course, students will understand the economic framework to analyze the supply and demands for transportation.
Keywords
Economics, Microeconomics, Transportation Economics, Transport Policy, Cost Benefit Analysis, Urban Economics
Competencies that will be developed
| ✔ Specialist skills | Intercultural skills | Communication skills | Critical thinking skills | Practical and/or problem-solving skills |
Class flow
While teaching theoretical foundations of microeconomics, four assignments will be given to students. Final exam or final presentation will be conducted.
Course schedule/Required learning
| Course schedule | Required learning | |
|---|---|---|
| Class 1 | Introduction of Economic Theory for Transportation Studies | - Aims & Scopes of this Course - Introduction to Microeconomics |
| Class 2 | Transportation Demand: Case of Divisible Goods | Basic concepts of Consumer Behavior Theory -Preferences -Utility -Choice -Elasticity, Income effect, Substitute/Complementary -Indirect utility -Welfare measures (Consumer surplus, EV, CV) |
| Class 3 | Transportation Demand: Case of Discrete Goods | - Discrete choice model - Travel mode choice - Value of travel time |
| Class 4 | Firm Production and Cost in Transportation | - Production technology - Production costs - Transportation costs |
| Class 5 | Congestion Pricing: Theory and Practice | - Fundamentals of static congestion pricing - Fundamentals of dynamic congestion pricing - Practices of congestion pricing |
| Class 6 | Emergence of Cities and Agglomeration | - Economics of agglomeration - Location choice and transport cost |
| Class 7 | Land Use Pattern in a City: Urban Spatial Structure | - Land use pattern - Bid-rent curve |
Textbook(s)
Lecture materials will be uploaded and delivered via OCWi
Reference books, course materials, etc.
Varian, H.R. “Microeconomic Analysis,” Norton, 1992.
McCarthy, P. “Transportation Economics,” Blackwell, 2001.
Small, K. and Verhoef, E. “The Economics of Urban Transportation,” Routledge, 2007.
Jara-Diaz, S. “Transport Economic Theory,” Elsevier, 2007.
Brueckner, J. “Lectures on Urban Economics,” The MIT Press, 2011.
Assessment criteria and methods
- Assignments (40%)
- Final exam or final presentation (60%)
Related courses
- CVE.D311 ： Public Economics
- CVE.D201 ： Fudamentals of Infrastructure Planning
- CVE.D401 ： Mathematical Modeling of Individual Choice Behavior
- CVE.D402 ： Transportation Network Analysis
- IEE.B201 ： Microeconomics I
- IEE.B202 ： Microeconomics II
- IEE.B401 ： Advanced Microeconomics
Prerequisites (i.e., required knowledge, skills, courses, etc.)
Participants should have fundamental knowledge on mathematical modeling of human behavior, particularly the one about microeconomics.
