Advanced Mathematical Methods for Infrastructure and Transportation Planning

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Fukuda Daisuke 
Thr1-2(M5莨夊ュー螳、M5-Meeting Room)  
Lecture2  Exercise0  Experiment0
Syllabus updated
Lecture notes updated
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Spring Semester
Supplementary documents

Outline of lecture

(1) To study the theory and application of "Discrete Choice Model (DCM)", which is the most well known method of travel demand forecasting.
- Theoretical Basis: Microeconomics, Applied Statistics, Optimization Theory, Simulation
- Applications: Predicting market shares in travel demand or others, Economic evaluation of transport infrastructures

(2) To learn about some practical issues of DCM through several exercises and assignments (Model estimation with some dataset).
- BIOGEME": Free software for estimation and simulation with DCM
- Computer Labs. with dataset from various research fields such as "Transportation", "Telecommunication", "Energy appliances"and "Marketing".

Purpose of lecture

(1) To study the theory and the applications of Discrete Choice Model (DCM, 髮「謨」驕ク謚槭Δ繝繝ォ), which is one of the most popular method for travel demand forecasting.

(2) To learn about some practical issues of DCM through several exercises and assignments (Model estimation with some dataset).

Plan of lecture

1. Choice Behavior and Binary Choice Models (BCM)
2. Estimation of BCM
3. Computer Lab. (1): Estimation of BCM
4. Multinomial Choice Models: Logit and Probit
5. Specification and Estimation of Multinomial Logit Models
6. Computer Lab. (2): Estimation of MNL
7. Statistical Tests of Discrete Choice Models
8. Independent from Irrelevant Alternatives, Forecasting and Microsimulation
9. Computer Lab. (3): Statistical Testing & Forecasting
10. Nested Logit Model (NL)
11. Issues on Sampling
12. Computer Lab. (4): NL & Sampling Issues
13. Mixed Logit Model (MXL) & Simulation-based Estimation
14. Computer Lab. (5): Estimation of MXL

Textbook and reference

- Lecture materials will be provided at OCWi.

- Ben-Akiva M. & Lerman S. (1985) Discrete Choice Analysis: Theory and Applications to Travel Demand, MIT Press.

- Train K. (2003) Discrete Choice Methods with Simulation, Cambridge University Press.

- 蛹玲搗莉(2002) 莠、騾夊。悟虚縺ョ蛻譫舌→繝「繝繝ェ繝ウ繧ー, 謚蝣ア蝣ょコ迚.

- 蝨滓惠蟄ヲ莨喙邱ィ] (1996) 髱樣寔險郁。悟虚繝「繝繝ォ縺ョ逅隲悶→蠢懃畑, 蝨滓惠蟄ヲ莨.

Related and/or prerequisite courses

Students are recommended to take other relevant lectures such as Transportation Network Analysis, Transportation Economics, Advanced Theory of Construction Management, Urban Planning, Urban Transport and Environment, Planning Process for National Land and Urban Planning, Environmental Traffic Engineering, and Project Evaluation for Sustainable Infrastructure.


- Class participation

- Five assignments (corresponding five exercises)

Comments from lecturer

- Students are required to bring a laptop PC for the five exercises.

- All lecture materials will be uploaded on TITECH OCW-i ( 3-day-before in advance. Students have to print it out and bring it to the class.

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