2017 Fundamentals of Infrastructure Planning

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Academic unit or major
Undergraduate major in Civil and Environmental Engineering
Fukuda Daisuke 
Course component(s)
Day/Period(Room No.)
Tue1-2(M114)  Fri1-2(M114)  
Course number
Academic year
Offered quarter
Syllabus updated
Lecture notes updated
Language used
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,
- Social oriented planning theory considering that the infrastructure planning deals with human being and their society.


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 - 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.

Reference books, course materials, etc.

Satoshi Fujii "Infrastructure Planning", Gakugei Shuppansha, 2008.

Assessment criteria and methods

Final examination (85%),
Small quiz in the class (15%)

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

Office hours

Not particular schedule assigned for office hour. Please contact by email for the appointment.

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