2025 (Current Year) Faculty Courses School of Environment and Society Undergraduate major in Civil and Environmental Engineering
Infrastructure Planning
- Academic unit or major
- Undergraduate major in Civil and Environmental Engineering
- Instructor(s)
- Yuki Takayama / Hitomu Kotani
- Class Format
- Lecture (Face-to-face)
- Media-enhanced courses
- -
- Day of week/Period
(Classrooms) - 1-2 Tue / 1-2 Fri
- Class
- -
- Course Code
- CVE.D201
- Number of credits
- 200
- Course offered
- 2025
- Offered quarter
- 1Q
- Syllabus updated
- Mar 19, 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 - Technology oriented planning and comprehensive planning |
| Class 2 | Fundamentals of mathematical optimization: (1) Linear programming | - Examples of linear programming - Graphical solution method - Gauss-Jordan method |
| Class 3 | Fundamentals of mathematical optimization: (2) Unconstrained case | - Fundamental thought of optimization - Univariate optimization without constraints - Multivariate optimization without constraints |
| Class 4 | Fundamentals of mathematical optimization: (3) Basics of nonlinear programming | - Lagrangian method - Karush-Kuhn-Tucher condition |
| Class 5 | Mathematics of project management: (1) PERT | - PERT |
| Class 6 | Mathematics of project management: (2) CPM | ・CPM |
| Class 7 | Foundations of Cost Benefit Analysis | - Principles of cost benefit analysis - Project life and social discount rate - Computing benefits |
| Class 8 | Mathematical fundations of predictive modeling: Supervised learning | - Regression analysis |
| Class 9 | Mathematical foundations of pattern recognition: Unsupervised learning | - Principal component analysis |
| Class 10 | Mathematics of consensus building: (1) Fundamentals of Game Theory | - Strategic situations in infrastructure planning - Description of games - Typical game structures - Best response and Nash equilibria - Mixed strategy |
| Class 11 | Mathematics of consensus building: (2) Applications of Game Theory | - Cooperative/Negotiation Games - Externality - Prisoners' dilemma - Environmental problem and economic problem |
| Class 12 | Attitude/behavior modification oriented planning theory | - Psychology and infrastructure planning - Attitude theory - Mobility management |
| Class 13 | Theory of social decision making | - Social choice theory |
| Class 14 | Sociology oriented planning theory | - Theory of social organism |
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)
Particularly not.
Reference books, course materials, etc.
Introduced at the class.
Evaluation methods and criteria
Assignments (30%), final exam (70%)
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.D313 ： Urban Planning and Infrastructure
- CVE.D317 ： Climate Change Impacts, Adaptation and Mitigation
- CVE.D311 ： Public Economics
- CVE.D406 ： Urban Economic Analysis
- UDE.P403 ： Urban Planning
- UDE.P404 ： City/Transport Planning and the Environment
- CVE.D405 ： Transportation Science and Simulation
Prerequisites
Particularly not.
Contact information (e-mail and phone) Notice : Please replace from ”[at]” to ”@”(half-width character).
Email: takayama.y.cc65[at]m.isct.ac.jp, kotani.h.15c7[at]m.isct.ac.jp
Office hours
Not particular schedule assigned for office hour. Please contact by email for the appointment.