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.
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.
Infrastructure planning, optimization, systems analysis, social theory
✔ Specialist skills | Intercultural skills | Communication skills | ✔ Critical thinking skills | ✔ Practical and/or problem-solving skills |
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 | |
---|---|---|
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 | - Strategic situations in infrastructure planning - Description of games - Typical game structures |
Class 10 | Mathematics of consensus building: (1) Fundamentals of Game Theory | - Principles of cost benefit analysis - Project life and social discount rate - Computing benefits |
Class 11 | Mathematics of consensus building: (2) Applications of Game Theory | - Best response and Nash equilibria - Mixed strategy - Tree-based game |
Class 12 | Environmental problem and externality | - Externality - Prisoners' dilemma - Environmental problem and economic problem |
Class 13 | Attitude/behavior modification oriented planning theory | - Psychology and infrastructure planning - Attitude theory - Mobility management |
Class 14 | Theory of social decision making, Sociology oriented planning theory | - Theory of social organism - Community theory |
Class 15 | Politics oriented planning theory, Goal setting theory of infrastructure planning | - Administrative power - Public involvement - Fundamentals of goal setting |
Handouts will be distributed.
Satoshi Fujii "Infrastructure Planning", Gakugei Shuppansha, 2008.
Final examination (75%),
Small quiz in the class (25%)
Particularly not.
Email: fukuda[at mark]plan.cv.titech.ac.jp
Not particular schedule assigned for office hour. Please contact by email for the appointment.