2021 Faculty Courses School of Environment and Society Undergraduate major in Civil and Environmental Engineering
Fundamentals of Infrastructure Planning
- Academic unit or major
- Undergraduate major in Civil and Environmental Engineering
- Instructor(s)
- Toru Seo / Daisuke Fukuda
- Class Format
- Lecture
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 1-2 Tue (M114) / 1-2 Fri (M114)
- Class
- -
- Course Code
- CVE.D201
- Number of credits
- 200
- Course offered
- 2021
- Offered quarter
- 1Q
- Syllabus updated
- Jul 10, 2025
- Language
- Japanese
Syllabus
Course overview and goals
The infrastructure planning deals with the impact analysis of civil works (investigation/survey, forecasting and evaluations), procedural analysis (consensus building) and infrastructure management for the purpose of making a better society through the infrastructure construction and their management. This course teaches the fundamentals of infrastructure planning, particularly about the mathematical and social foundations of planning.
Course description and aims
To understand the foundations of:
- Mathematical oriented planning theory about planning process, survey, forecasting and evaluation,
and
- Social oriented planning theory considering that the infrastructure planning deals with human being and their society.
Keywords
Infrastructure planning, optimization, systems analysis, social theory
Competencies
- Specialist skills
- Intercultural skills
- Communication skills
- Critical thinking skills
- Practical and/or problem-solving skills
Class flow
While teaching theoretical foundations of infrastructure planning, small quiz will also be conducted. Further, the final exam will also be carried out.
Course schedule/Objectives
Course schedule | Objectives | |
---|---|---|
Class 1 | Civil works, civil engineering and infrastructure planning |
- Plan and planning in Civil Works |
Class 2 | Fundamentals of mathematical optimization: (1) Unconstrained case |
- Fundamental thought of optimization |
Class 3 | Fundamentals of mathematical optimization: (2) Linear programming |
- Examples of linear programming |
Class 4 | Fundamentals of mathematical optimization: (3) Basics of nonlinear programming |
- Lagrangian method |
Class 5 | Fundamentals of mathematical optimization: (4) Advances of nonlinear programming |
- Maximum transport problem |
Class 6 | Fundamentals of mathematical optimization: (5) Algorithms for solving nonlinear programming |
- Gradient based method |
Class 7 | Mathematics of project management |
- PERT |
Class 8 | Demand forecasting methods |
- Fundamentals of statistical models |
Class 9 | Foundations of Cost Benefit Analysis |
- Principles of cost benefit analysis |
Class 10 | Mathematics of consensus building: (1) Fundamentals of Game Theory |
- Strategic situations in infrastructure planning |
Class 11 | Mathematics of consensus building: (2) Applications of Game Theory |
- Cooperative/Negotiation Games |
Class 12 | Attitude/behavior modification oriented planning theory |
- Psychology and infrastructure planning |
Class 13 | Theory of social decision making, Sociology oriented planning theory |
- Theory of social organism |
Class 14 | Politics oriented planning theory |
- Administrative power |
Study advice (preparation and review)
To enhance effective learning, students are encouraged to spend approximately 100 minutes preparing for class and another 100 minutes reviewing class content afterwards (including assignments) for each class.
They should do so by referring to textbooks and other course material.
Textbook(s)
Satoshi Fujii "(Revised) Infrastructure Planning", Gakugei Shuppansha, 2018. (Handouts will also be distributed).
Reference books, course materials, etc.
Introduced at the class.
Evaluation methods and criteria
Small quiz in the class (40%),Mid-term Assignment (30%), Final Assignment (30%)
Related courses
- CVE.D210 : Planning Theory for Civil and Environmental Engineering
- CVE.D230 : Urban and Transportation Planning Project
- CVE.D301 : Traffic and Transportation Systems
- CVE.D402 : Transportation Network Analysis
- CVE.D403 : Transportation Economics
- CVE.D401 : Mathematical Modeling of Individual Choice Behavior
- CVE.D311 : Public Economics
- CVE.D211 : Introduction to National Land Use and City Planning
Prerequisites
Particularly not.
Contact information (e-mail and phone) Notice : Please replace from ”[at]” to ”@”(half-width character).
Email: fukuda[at mark]plan.cv.titech.ac.jp
Office hours
Not particular schedule assigned for office hour. Please contact by email for the appointment.