CIVILEN 7730
Transcript Abbreviation:
Transp Dem Model
Course Description:
Various applications of demand modeling in transportation, with emphasis on discrete choice demand modeling.
Course Levels:
Graduate
Designation:
Elective
General Education Course
(N/A)
Cross-Listings
(N/A)
Credit Hours (Minimum if “Range”selected):
4.00
Max Credit Hours:
4.00
Select if Repeatable:
Off
Maximum Repeatable Credits
(N/A)
Total Completions Allowed
(N/A)
Allow Multiple Enrollments in Term:
No
Course Length:
14 weeks (autumn or spring)
12 weeks (summer only)
Off Campus:
Never
Campus Location:
Columbus
Instruction Modes:
In Person (75-100% campus; 0-24% online)
Prerequisites and Co-requisites:
Prereq: 5700, CRPlan 5700, or permission of instructor.
Electronically Enforced:
No
Exclusions:
Not open to students with credit for 873.
Course Goals / Objectives:
Understand various applications of transportation demand models
Become skilled in the mathematical and statistical estimation of various transportation demand models
Understand the behavioral interpretation of alternative model formulations
Become skilled in the interpretation of multiple statistical estimation measures
Gain experience in estimating and comparing alternative model formulations from empirical and numerical data
Gain experience in using commercial software to estimate transportation demand models
Gain experience in communicating results through effective written reports
Check if concurrence sought:
No
Contact Hours:
| Topic | LEC | REC | LAB | LAB Inst |
|---|---|---|---|---|
| Individual choice theory | 4.0 | 0.0 | 0.0 | 0 |
| Binary choice | 12.0 | 0.0 | 0.0 | 0 |
| Multinomial choice | 10.0 | 0.0 | 0.0 | 0 |
| Joint and nested models | 12.0 | 0.0 | 0.0 | 0 |
| Statistical estimation | 14.0 | 0.0 | 0.0 | 0 |
| Advanced topics | 4.0 | 0.0 | 0.0 | 0 |
| Total | 56 | 0 | 0 | 0 |
Grading Plan:
Letter Grade
Course Components:
Lecture
Grade Roster Component:
Lecture
Credit by Exam (EM):
No
Grades Breakdown:
| Aspect | Percent |
|---|---|
| Aggregate assignments | 35% |
| Exam 1 | 30% |
| Exam 2 | 25% |
| Classroom participation | 10% |
Representative Textbooks and Other Course Materials:
| Title | Author | Year |
|---|---|---|
| Discrete Choice Analysis: Theory and Application to Predict Travel Demand. | M. Ben Akiva. and S. Lerman, |
ABET-CAC Criterion 3 Outcomes
(N/A)
ABET-ETAC Criterion 3 Outcomes
(N/A)
ABET-EAC Criterion 3 Outcomes
(N/A)
Embedded Literacies Info
(N/A)
Attachments
(N/A)
Additional Notes or Comments
(N/A)