Course title
H0630700,H06307013
Infrastructure Planning

 iwakura seiji Click to show questionnaire result at 2018
Course description
This course covers methodologies for infrastructure policymaking, which are definition and characteristics of social infrastructure, framework for infrastructure planning, extraction method of issues on social concern,linear and nonlinear regression model for causality analysis.
Purpose of class
Understand the fundamental methodologies for infrastructure policymaking.
Goals and objectives
  1. Understand the definition and characteristics of social infrastructure
    Understand the planning process
  2. Understand the KJ method
  3. Understand the derivation and application of fundamental methods of analysing social problems
Language
Japanese
Class schedule

 Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Introduction To read the material in this course 5minutes
2. Characteristics of social infrastructures To read the material in this course 45minutes
3. Considerations of infrastructure planning To read the material in this course 45minutes
4. Case study of infrastructure planning To read the material in this course 45minutes
5. Bottom-up method using cooperative work for the development of new ideas To read the material in this course 45minutes
6. Bottom-up method using cooperative work for the development of new ideas To read the material in this course 45minutes
7. To practice KJ-method To read the material in this course 45minutes
8. Some quantitative analyses for infrastructure planning To read the material in this course 45minutes
9. Some quantitative analyses for infrastructure planning To read the material in this course 45minutes
10. Some quantitative analyses for infrastructure planning To read the material in this course 45minutes
11. Estimation technique for regression model To read the material in this course 45minutes
12. Accuracy evaluation for regression model To read the material in this course 45minutes
13. Estimation technique for nonlinear regression model To read the material in this course 45minutes
14. Final examination Good luck with your studies 90minutes
Total. - - 635minutes
Relationship between 'Goals and Objectives' and 'Course Outcomes'

 assignments final examination Total.
1. 0% 35% 35%
2. 20% 10% 30%
3. 0% 35% 35%
Total. 20% 80% -
Evaluation method and criteria
final examination 80% and assignment20%
Textbooks and reference materials
Handout on shared folder
Prerequisites
To study Applied statistics, Transportation systems planning
Office hours and How to contact professors for questions
  • 13:00-16:00
Relation to the environment
Non-environment-related course
Regionally-oriented
Non-regionally-oriented course
Development of social and professional independence
  • Course that cultivates a basic problem-solving skills
Active-learning course
More than one class is interactive
Course by professor with work experience
Work experience Work experience and relevance to the course content if applicatable
Applicatable Urban Railway Planning, High Speed Railway Planning, Urban Planning
Last modified : Thu Mar 21 14:40:28 JST 2019