| Academic Year |
2024Year |
School/Graduate School |
Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Transdisciplinary Science and Engineering Program |
| Lecture Code |
WSQN0601 |
Subject Classification |
Specialized Education |
| Subject Name |
Transportation Planning |
Subject Name
（Katakana） |
|
Subject Name in
English |
Transportation Planning |
| Instructor |
CHIKARAISHI MAKOTO,FENG TAO |
Instructor
(Katakana) |
チカライシ マコト,フェン タオ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, First Semester, 2Term |
| Days, Periods, and Classrooms |
(2T) Mon9-10,Thur3-4：IDEC 203 |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
|
| |
| Credits |
2.0 |
Class Hours/Week |
|
Language of Instruction |
E
:
English |
| Course Level |
6
:
Graduate Advanced
|
| Course Area（Area） |
25
:
Science and Technology |
| Course Area（Discipline） |
13
:
Civil Engineering |
| Eligible Students |
Master / PhD students |
| Keywords |
transportation planning; transportation management; travel behavior analysis; traffic assignment; cost-benefit analysis |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Class Objectives
/Class Outline |
In this course, students will learn a series of methodologies used in developing transportation planning, including travel demand modeling, traffic assignment, and cost-benefit analysis.
Students are asked to read a part of textbook and/or the relevant seminal papers before every lecture and prepare a short summary of the contents. In each lecture, randomly selected students will first briefly introduce the summary, followed by the detailed explanations by the instructor. |
| Class Schedule |
- 1. Introduction
- 2. Data in transportation planning
- 3. Modeling trip generation
- 4. Modeling destination choice
- 5. Modeling travel mode choice
- 6. Activity-based models
- 7. Modeling route choice
- 8. Optimization and User Equilibrium
- 9. Crowding in public transport
- 10. Queuing and assignment
- 11. Justifying the use of consumer surplus
- 12. Cost-benefit analysis and its limitations
- 13. Group decision making and social interactions in travel decisions
- 14. Multi-sided market and matching problem
- 15. Wrap up and some research agenda
|
Text/Reference
Books,etc. |
Koppelman, F.S. and Bhat, C., 2006. A self instructing course in mode choice modeling: multinomial and nested logit models.
Ortúzar, J.d.D., Willumsen, L.G. (2011) Modelling Transport, 4th Edition ed. John Wiley & Sons, Ltd.
Train, K.E., 2009. Discrete choice methods with simulation. Cambridge university press.
Sheffi, Y., 1985. Urban transportation networks (Vol. 6). Prentice-Hall, Englewood Cliffs, NJ.
de Dios Ortúzar, J. and Willumsen, L.G., 2011. Modelling transport. John wiley & sons.
* Other textbooks, academic papers, and technical reports will be distributed in the lecture. |
PC or AV used in
Class,etc. |
|
| (More Details) |
|
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
It is recommended to have some basic knowledge on “probability and statistics” and “optimization”. |
| Requirements |
|
| Grading Method |
Grading will be made based on:
(1) Short summary of the assigned textbook and papers prepared for each lecture (80%).
(2) Class participation (20%). |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
|
| Other |
|
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. |