運輸需求分析
Travel Demand Analysis
| 節 | 週一 |
|---|---|
2 09:00–09:50 | 運輸需求分析 TD 3 節連堂 |
3 10:10–11:00 | |
4 11:10–12:00 |
* 根據陽明交大上課時間表所列
The course will provide students with an understanding of the basic principles of travel demand modeling. The students should gain skills in the collection and analysis of travel demand data. The students will understand travel demand models from a theoretical, applied and practical perspective, and should apply these methods to estimating and forecasting travel demand. Students will become familiar with various aggregate and disaggregate travel demand forecasting processes, including model development, application, and interpretation of outputs. Instruction and practice in econometric model formulation, model estimation, and use of behavioral models in transportation data analysis and prediction will be included. Practice problems are assigned to provide experience in data handling, model formulation, estimation, and interpretation.
統計學、運輸經濟
無備註
This is a lecture-based course supplemented with real case studies. Students are expected to read class materials before the class; students are also encouraged to discuss the materials in the class. Please let me (or the TA) know (anonymously, if you wish) what is going right and what is going wrong with lectures, assignments, content, etc. It is far better for all of us if we can work on these problems during the course and leave you satisfied at the end.
1學期作業 A research paper and a brief 25 minute presentation at the end of the semester are required. Approximately five assignments will be distributed in the class. 2.考試狀況 One midterm exam 3.評量方法 Assignments and class participations 20%; midterm exam 40%; term project 40%
Introduction
Introduction to the scope and context of travel demand modeling
- 講授：
- 3
Introduction to discrete choice analysis
The fundamentals of discrete choice analysis will be presented, including a discussion of its power and limitations.
- 講授：
- 12
Data collection
The methods in this course often require in-depth surveys. We will study different types of data, survey and experimental design, and issues of sampling.
- 講授：
- 12
Application of discrete choice models for analysis
In this section, we will discuss how to employ the model for analysis, including the use of elasticities, forecasting, and welfare analysis.
- 講授：
- 6
Advanced discrete choice analysis
In the final section, we will cover some of the most important and practical extensions of multinomial logit models, including nested logit and GEV, mixed logit, combining datasets, and choice models with latent variables.
- 講授：
- 12
| 週次 | 主題 |
|---|---|
| 第 1 週 | Introduction 2/22 |
| 第 2 週 | National holiday. No class. 3/1 |
| 第 3 週 | Regression and trip generation with NHTS 3/8 |
| 第 4 週 | Multilevel modeling of travel demand (part 1) 3/15 |
| 第 5 週 | Multilevel modeling of travel demand (part 2) 3/22 |
| 第 6 週 | Disaggregate travel demand and properties of discrete choice models 3/29 |
| 第 7 週 | National holiday. No class. 4/5 |
| 第 8 週 | Logit and MNL using software 4/12 |
| 第 9 週 | Nested logit (I) 4/19 |
| 第 10 週 | Nested logit (II) 4/26 |
| 第 11 週 | Midterm exam 5/3 |
| 第 12 週 | Mixed logit 5/10 |
| 第 13 週 | Other advanced discrete choice models 5/17 |
| 第 14 週 | Data collection and experimental design 5/24 |
| 第 15 週 | Behavioral economics and travel demand 5/31 |
| 第 16 週 | Term project presentation 6/7 |
| 第 17 週 | National holiday. No class. 6/14 |
| 第 18 週 | TBA 6/21 |
Gelman, A., and Hill, J. (2006). Data analysis using regression and multilevel/hierarchical models. New York, NY, USA: Cambridge University Press. Train, K. (2009). Discrete choice methods with simulation, 2nd edition. Cambridge University Press. Hensher, D.A., Rose, J.M., and Greene, W.H. (2015). Applied choice analysis: a primer, 2nd edition. Cambridge University Press. Ben-Akiva, Moshe E., and Steven R. Lerman. Discrete choice analysis: theory and application to travel demand. Vol. 9. MIT Press, 1985.
- 地點
- 台北校區B415
- 時間
- Monday, 1-3pm
- 聯絡方式
- Email: yschung@nctu.edu.tw Campus phone: 57663