Transportation and Urban Design Studio E 2019

for Graduate School of Civil Engineering in 2019 Autumn Semester (A1)

Lecturers

• Prof. Eiji Hato (Professor, Transport Research and Infrastructure Planning (TRIP) Lab.)
• Prof. Takamasa Iryo (Professor, Transport Research and Infrastructure Planning (TRIP) Lab.)
• Assoc Prof. Ryuichi Shibasaki (Associate Professor, Department of Systems Innovation, School of Engineering)
• Dr. Yuki Oyama (Assistant Professor, Research Center for Advanced Science and Technology)

Teaching Assistant

• Dr. Sachiyo Fukuyama (Researcher, TRIP Lab.)

Place and Time

in Lecture Room No.13 of Engineering Bldg No.1, on Monday and Thursdays 13:00-14:45

Purpose and Contents of the Course

This course focuses on learning some of methodologies to analyze transportations and regions, which are sometimes vulnerable to natural hazards. In addition to it, getting used to the essence of the basic way of theoretical and mathematical thinking in planning is another main target. For fulfilling these purposes, we choose three topics: 1) Traffic flow theory and modeling, 2) Logistics management and analysis, 3) Travel behavior modeling.
Syllabus

Schedule of the Course

Topic 1: Traffic Flow Theory and Modeling, by Prof. Iryo and Prof. Hato

Please download the lecture documents of Topic 1 from this page (Password was shared on the lecture)

• Sep. 26 Traffic Flow Theory and Modeling (1)
• Sep. 30 Traffic Flow Theory and Modeling (2)
• *Oct. 1 (8:30-10:15) Traffic Flow Theory and Modeling (3) *: Date & Time are changed
• Oct. 3 Final Exercise for Topic 1

Topic 2: Logistics Management and Analysis, by Prof. Shibasaki and Prof. Hato

• Oct. 7 Logistics Operation and Advanced Methodologies (1)
• Oct. 10 Logistics Operation and Advanced Methodologies (2)
• Oct. 21 Logistics Operation and Advanced Methodologies (3)
• Oct. 24 Final Presentation for Topic 2

Topic 3: Travel behavior modeling, by Dr. Oyama, Dr. Fukuyama and Prof. Hato

** Please bring your laptop which are installed R and RStudio in Topic 3 **

• R: https://cran.r-project.org/
• RStudio: https://www.rstudio.com/products/rstudio/download/

• Oct. 28 Travel Behavior Modeling (0)
• Oct. 31 Travel Behavior Modeling (1) Lecture 1 / Dataset for exercise 191031 / Solutions
• Nov. 7 Travel Behavior Modeling (2) Lecture 2 / Dataset for exercise 191107
• Nov. 11 Travel Behavior Modeling (3) Lecture 3
• *Nov. 13 Final Presentation for Topic 3 Assignment for topic3 / Dataset for group work *: Date is changed according to the schedule of the Graduate School of Engineering

Evaluation of the Achievement

Assignments in each of the three topics (30 points @ 3), and attendance points for classes (10 points)

Lecture materials and Bibliography

• Train, K., Discrete Choice Methods with Simulation Second edition, Cambridge University Press, 2009.
• Sheffi, Y., Urban transportation network, Pretince Hall, 1985.
• Venables, W. N., Smith, D. M., and the R Core Team, An Introduction to R, 2017.
• Paradis, E., R for Beginners, 2005.