### 2021　Fundamentals of Infrastructure Planning

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Undergraduate major in Civil and Environmental Engineering
Instructor(s)
Seo Toru  Fukuda Daisuke
Course component(s)
Lecture    (ZOOM)
Day/Period(Room No.)
Tue1-2(M114)  Fri1-2(M114)
Group
-
Course number
CVE.D201
Credits
2
2021
Offered quarter
1Q
Syllabus updated
2021/3/19
Lecture notes updated
-
Language used
Japanese
Access Index

### Course description and aims

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.

### Student learning outcomes

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 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 infrastructure planning, small quiz will also be conducted. Further, the final exam will also be carried out.

### Course schedule/Required learning

Course schedule Required learning
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) Unconstrained case - Fundamental thought of optimization - Univariate optimization without constraints - Multivariate optimization without constraints
Class 3 Fundamentals of mathematical optimization: (2) Linear programming - Examples of linear programming - Graphical solution method - Gauss-Jordan method
Class 4 Fundamentals of mathematical optimization: (3) Basics of nonlinear programming - Lagrangian method - Karush-Kuhn-Tucher condition
Class 5 Fundamentals of mathematical optimization: (4) Advances of nonlinear programming - Maximum transport problem - Traffic assignment problem
Class 6 Fundamentals of mathematical optimization: (5) Algorithms for solving nonlinear programming - Gradient based method - Convex planning method
Class 7 Mathematics of project management - PERT - CPM
Class 8 Demand forecasting methods - Fundamentals of statistical models - Travel demand forecasting
Class 9 Foundations of Cost Benefit Analysis - Principles of cost benefit analysis - Project life and social discount rate - Computing benefits
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, Sociology oriented planning theory - Theory of social organism - Community theory
Class 14 Politics oriented planning theory - Administrative power - Public involvement

### Out-of-Class Study Time (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.

### Assessment criteria and methods

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 (i.e., required knowledge, skills, courses, etc.)

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