COURSE UNIT TITLE

: INFORMATION SYSTEMS FOR TRANSPORTATION

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
PLN 5076 INFORMATION SYSTEMS FOR TRANSPORTATION ELECTIVE 2 0 0 3

Offered By

Graduate School of Natural and Applied Sciences

Level of Course Unit

Second Cycle Programmes (Master's Degree)

Course Coordinator

ASISTANT PROFESSOR IREM AYHAN SELÇUK

Offered to

M.Sc. City and Regional Planning
City and Regional Planning (Non-Thesis)
City and Regional Planning

Course Objective

Introducing planning students with information systems of transportation and bring them analyzing skills and information for solving and analyzing transportation problems.

Learning Outcomes of the Course Unit

1   Introducing Basic Inputs of Information Systems for Transportation
2   Understanding Analyzes of Information Systems for Transportation
3   Distinguishing numerical methods and techniques of Information Systems for Transportation
4   Solving a problem about transportation with information systems for transportation
5   Using information systems for Transportation Practice

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 Introduction to Information Systems of Transportation
2 Reasons of Using The Information Systems for Transportation
3 Designing Database for Transportation Applications
4 Information Systems for Transportation and Modelling Transport
5 Information Systems for Transportation and Analytical Tools
6 Information Systems for Transportation and Bias of Model Defining Homeworks
7 Designing Road Network and Mapping Highways - Mapping Highways and Examining On The Aspect of City Planning Discipline
8 Analyzing Traffic Accidents and Examining On The Aspect of Planning Practice
9 Analyzing Traffic Volumes and Examining On The Aspect of Planning Practice
10 Analyzing Traffic Congestion and Quality of Air and Examining On The Aspect of City Planning Discipline
11 Transportation Demand Modelling Studies and Examining On The Aspect of Planning Practice
12 Buffer Analyzes and Examining On The Aspect of City Planning Discipline
13 Shortest Path Analyzes and Examining On The Aspect of City Planning Discipline
14 Insufficiency Analyzes and Examining On The Aspect of City Planning Discipline
15 Final Week Delivery and Presentation of Homeworks
16 Final Week Delivery and Presentation of Homeworks

Recomended or Required Reading

Textbook(s): :
GIS for Transportation Infrastructure Management, ESRI.

Supplementary Book(s):
Cesar Quiroga, P.E., Yingfeng Li, Nicholas Koncz ve John Overman, (2009). Analysis And Integratıon Of Spatial Data For Transportation Planning. TEXAS TRANSPORTATION INSTITUTE The Texas A&M University.

Alterkawi, M. (2001). Application of GIS in Transportation Planning: The Case of Riyadh, the Kingdom of Saudi Arabia, GBER Vol. 1 No. 2 2001 pp 38-46.

Simone Becker Lopes, Nair Cristina Margarido Brondino, and Antônio Nélson Rodrigues da Silva, (2014). GIS-Based Analytical Tools for Transport Planning: Spatial Regression Models for Transportation Demand Forecast. ISPRS International Journal of Geo-Information. file:///C:/Users/kullanici/Desktop/GIS%20for%20Transportation/ijgi-03-00565.pdf

Materials:-

Planned Learning Activities and Teaching Methods

Learning and Teaching Strategies:The method of the lesson is explaining applications of transportation planning and transportation demand modelling with transportation information systems.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 ASG ASSIGNMENT
2 PRS PRESENTATION
3 FCG FINAL COURSE GRADE ASG * 0.50 + PRS * 0.50


Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of homework/assignments/presentation.

Language of Instruction

Turkish

Course Policies and Rules

-

Contact Details for the Lecturer(s)

irem.ayhan@deu.edu.tr
+90 232 301 8434

Office Hours

Thursday 15.00-16.00

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 14 2 28
Preparations before/after weekly lectures 14 2 28
Preparation for final exam 1 25 25
Final 1 1 1
TOTAL WORKLOAD (hours) 82

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14PO.15PO.16PO.17
LO.1111
LO.2111
LO.3111
LO.4111
LO.5111