COURSE UNIT TITLE

: TRANSPORTATION PLANING

DEGREE PROGRAMMES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
CIE 5087 TRANSPORTATION PLANING ELECTIVE 3 0 0 7

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

PROFESSOR SERHAN TANYEL

Offered to

TRANSPORTATION ENGINEERING
TRANSPORTATION ENGINEERING

Course Objective

The aim of the course to give information on the estimation of future demands for movement; the design of a series of alternative transportation plans which accord with community aims and objectives and evaluation of alternative transportation plans, in both economic and social terms.

Learning Outcomes of the Course Unit

1   To be able to compare the different transportation modes.
2   To be able to estimate the effects of passenger behaviors on mode choice
3   To be able to evaluate the trip distributions on transportation system
4   To be able to analyze the consequences of the regulations related to the travel demand and transport policies
5   To be able to generate report and present the findings about the transportation system

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction Need for movement studies Organization and administration Cost Transportation planning process in outline
2 Collection of Basic Data, Definition of study area and traffic zones Travel pattern data Home interview Cordon surveys
3 Inventory of existing transportation facilities Planning and economic data
4 Trip Generation, Influencing factors Physical, Social and Economic
5 Prediction Methods Category Analysis Homework Assignment
6 Trip Distribution Trip Distribution by Growth Factor Growth Factor Method Uniform Factor Method Average Factor Method
7 Trip Distribution by Growth Factor Fratar Method Detroit method Trip Distribution by synthetic methods Gravity model Multiple linear regression
8 I.MIDTERM EXAM
9 Trip Distribution by Synthetic Methods Gravity Model Multiple Linear Regression
10 Factors Influencing Modal Split Characteristics of Journey Characteristics of Traveler, Characteristics of Transportation System
11 Trip-end Model Split model Trip-Interchange Model
12 Traffic Assignment General Procedure Diversion Curves
13 II.MIDTERM EXAM
14 All or Nothing Method Capacity Restraint Method Homework Submission and Presentations

Recomended or Required Reading

Textbook(s):
MEYER, M. D.; MILLER, E.J. (2000): "Urban Transportation Planning", McGraw-Hill Science/Engineering/Math; 2nd edition.
ROESS, R. P.; MCSHANE, W. R.; PRASSAS, E. S. (1997): "Traffic Engineering", Prentice Hall; 2nd edition.

Materials:
Presentations, course notes.

Planned Learning Activities and Teaching Methods

The visual presentations and presentation slides.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE 1 MIDTERM EXAM 1
2 MTE 2 MIDTERM EXAM 2
3 ASG ASSIGNMENT
4 FIN FINAL EXAM
5 FCG FINAL COURSE GRADE MTE 1 * 0.20 + MTE 2 * 0.20 + ASG * 0.10 + FIN * 0.50
6 RST RESIT
7 FCGR FINAL COURSE GRADE (RESIT) MTE 1 * 0.20 + MTE 2 * 0.20 + ASG * 0.10 + RST * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

LO 1-2-3: Consideration with mid-term exams and final exam
LO 4-5: Consideration with homework assignments

Language of Instruction

English

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

Assoc.Prof.Dr. Serhan TANYEL: serhan.tanyel@deu.edu.tr

Office Hours

: The course schedule will be announced by the faculty member is created.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 12 3 36
Tutorials 0 0 0
Preparations before/after weekly lectures 12 5 60
Preparation for midterm exam 2 15 30
Preparation for final exam 1 18 18
Preparation for quiz etc. 0 0 0
Preparing assignments 1 15 15
Final 1 2 2
Midterm 2 2 4
Quiz etc. 0 0 0
TOTAL WORKLOAD (hours) 165

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11
LO.13
LO.2443
LO.3534
LO.4343
LO.554

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