Hiroshima University Syllabus

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Academic Year 2022Year School/Graduate School School of Engineering
Lecture Code K8172040 Subject Classification Specialized Education
Subject Name 社会基盤計画学
Subject Name
Subject Name in
Infrastructure Planning
ツカイ マコト,フセ マサアキ
Campus Higashi-Hiroshima Semester/Term 2nd-Year,  Second Semester,  4Term
Days, Periods, and Classrooms (4T) Tues1-2:ENG 117, (4T) Fri1-2:ENG 107
Lesson Style Lecture Lesson Style
(More Details)
Credits 2.0 Class Hours/Week   Language of Instruction J : Japanese
Course Level 2 : Undergraduate Low-Intermediate
Course Area(Area) 25 : Science and Technology
Course Area(Discipline) 13 : Civil Engineering
Eligible Students 2nd grade in civil and environmental program
Keywords statistical test, multivariate analysis, regression analysis, disaggregated behavior model, project evaluation 
Special Subject for Teacher Education   Special Subject  
Class Status
within Educational
This class is special subject in civil and environmental program, related to (c) Problem setting, (d) Analysis and (E) evaluation 
Criterion referenced
Program of Civil and Environmental Engineering
(Abilities and Skills)
・Ability to structuralize problems
(Comprehensive Abilities)
・Ability to discover problems 
Class Objectives
/Class Outline
Infrastructures such as road, railway, port, airport, water supply and sewage system and city park are necessary and essential for living activity or production activity. Since the construction of such facility requires huge investment and long time, a planning scheme for infrastructure supply should be made up with considering related economic and social factors with future forecasting. In this class, preliminary planning, survey, analysis, forecasting and evaluation for infrastructure supply are lectured with some case studies.  
Class Schedule lesson1 Introduction of infrastructure planning ( planning scheme, purpose, approach, planning entities, process, methodology, current situation and future direction).
lesson2  Statistical test (T-test for average, comparison in two reference groups, test for variance, test for statistical distribution, test for contingency table, ANOVA)
lesson3  Multivariate analysis
lesson4  Discrete choice model (1)
lesson5  Discrete choice model (2)
lesson6  Regression model (1)
lesson7  Regression model (2)
lesson8  Test for lesson 1 to 7
lesson9  Consumer theory, cost-benefit analysis
lesson10  Linear programming
lesson11  Network planning
lesson12  Optimization
lesson13  Input-output analysis (1)
lesson14  Input-output analysis (2)
lesson15  Summary

Evaluation is made by two examinations in lesson 1 to 7 and lesson 8 to 15 
Makoto OKUMURA : Infrastructure Planning, Colona publisher, 2013.
Gen-ichi TAGUCHI, Hajie MAKABE, Takashi YOSHIMURA and Masao MORI, Probability and statistics 
PC or AV used in
(More Details) Text and resume 
Learning techniques to be incorporated  
Suggestions on
Preparation and
Key words or important concept in each lecture:
lesson 2  Probability and sampling
lesson 3 to 4 key words: Null hypothesis and alternative hypothesis
lesson 5 Eigen value analysis
lesson 6 to 7 :  Ordinary least squares
lesson 9  : Consumer and social surplus
lesson 10 : Graph expression in linear programming problem
lesson 11 : Shortest path search algorithm
lesson 12 : Objective function and constraint
lesson 13 to 14 : IO table and economic ripple effect
Grading Method Evaluation is made by two examinations in lesson 1 to 7 and lesson 8 to 15 
Practical Experience  
Summary of Practical Experience and Class Contents based on it  
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. 
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