KSU5321 Land Use -Transportation Models and PoliciesBahçeşehir UniversityDegree Programs URBAN SYSTEMS AND TRANSPORTATION MANAGEMENT (TURKISH, NON-THESIS)General Information For StudentsDiploma SupplementErasmus Policy StatementNational QualificationsBologna Commission
URBAN SYSTEMS AND TRANSPORTATION MANAGEMENT (TURKISH, NON-THESIS)
Master TR-NQF-HE: Level 7 QF-EHEA: Second Cycle EQF-LLL: Level 7

Course Introduction and Application Information

Course Code Course Name Semester Theoretical Practical Credit ECTS
KSU5321 Land Use -Transportation Models and Policies Spring 3 0 3 12
This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction: Turkish
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Dr. Öğr. Üyesi NİLGÜN CAMKESEN
Recommended Optional Program Components: None
Course Objectives: Objective of the course is evaluating the cycling relation between land use and transportation system with demand and its results, and in this concept, modelling and planning basic issues in urban scale.

Learning Outcomes

The students who have succeeded in this course;
Giving the concept of:

a) Economical based theories and approaches that investigates the location selections and travel profiles of various actors in land use-transportation system

b) Empirical models that investigates distribution of urban functions and travel characteristics relation

Course Content

The relationship of spatial positioning and transportation has been an important topic of research in urban, regional, and national scales. Currently theoretical and application-centric modeling and planning studies should be considered within an integrated approach that is also inclusive of socio-economic and environmental factors. In this context, the cyclic relationship between land use and transportation system and service will be evaluated along with its consequences. Evaluation will be conducted through urban modeling and planning cases.

Weekly Detailed Course Contents

Week Subject Related Preparation
1) Introduction: Land use and transportation planning
2) Land use and transportation planning- policies
3) Land use and transportation planning- policies
4) Land use and transportation planning- policies
5) Economics
6) Land use and transportation modelling - Micro economy theory
7) Land use and transportation modelling - Micro economy theory
8) Life quality and urban planning evaluation
9) Land use and transport modelling - Empirical models
10) Land use and transport modelling - Empirical models
11) Land use and transport modelling - Empirical models
12) Land use and transport modelling - Empirical models
13) Land use and transport modelling - Empirical models
14) Final Exam

Sources

Course Notes / Textbooks: Derste Verilen Notlar / Lecture Notes
References: Location and Land Use: Towards a General Theory of Land Rent W. Alonso 1964 Harvard University Press

Modelling in Urban and Regional Economics, A Volume in Regional and Urban Economics Section A. Anas 1987 Harwood Academic Publishers,

Handbook of Regional and Urban Economics P. Chesire and E. Mills 1999 Applied Urban Economics Elsevier

Sustainability and Cities: Overcoming the Automobile Dependency P. Newman and J. Kenworthy 1999 Washington D.C: Island Press

Land use Transport Interaction: State of the Art. Project M. Wegener and F. Furst 1999 The European Commission

Discrete Choice Methods with Simulation K. E. Train 2003 Cambridge University Press

Economics and Land use Planning A. W. Evans 2004 Willey - Blackwell

Integrated Land Use and Transport Modelling: Decision Chains and Hierarchies T. de la Barra 2005 Cambridge Urban and Architectural Studies.

Urban Land Use Planning P.R Berke and D.R Godschalk, 2006 University of Illinois Press

Mobility 2030: Meeting the Challenges to Sustainability WBCSD 2008 WBCSS

Evaluation System

Semester Requirements Number of Activities Level of Contribution
Attendance 10 % 0
Quizzes 4 % 10
Homework Assignments 5 % 20
Midterms 1 % 30
Final 1 % 40
Total % 100
PERCENTAGE OF SEMESTER WORK % 60
PERCENTAGE OF FINAL WORK % 40
Total % 100

ECTS / Workload Table

Activities Number of Activities Duration (Hours) Workload
Course Hours 10 6 60
Homework Assignments 5 20 100
Quizzes 4 10 40
Midterms 1 30 30
Final 1 40 40
Total Workload 270

Contribution of Learning Outcomes to Programme Outcomes

No Effect 1 Lowest 2 Low 3 Average 4 High 5 Highest
           
Program Outcomes Level of Contribution
1) Improving and enhancing information in expertise level on the concept of transportation licence level abilities in terms of transportation department and related departments. 4
2) Having detailed information about current technics, methods and their constraints in transportation engineering. 4
3) Having awareness about innovations and developments in profession, investigating and learning necessary informations about these 4
4) Completing and implementing information with limited datas, integrating informations of different discipline datas
5) Estabilishing engineering problems, improving methods for solution, implementing new methods in solutions
6) New/origin idea and method implementing, improving new solutions in system, part and process designs.
7) Understanding process and results of studies, presenting the datas oral and written in related department on national and international scales, understanding a foreign language, having speaking, writing and reading level at least Europan Language Portfolio B2.
8) Understanding social and environmental phases of technological implementations. Listing ability of current technics, methods, effects, constraints and results of technological implementations.
9) Considering social-scientific-ethic values in collecting-understanding-implementing-presenting phases and all activities.
10) Having information detailed and deeply by implemented researching in technology, evaluating and implementing of information
11) Developing method for defined technological problems and implementing innovative methods in solutions.
12) Modelling and implementing of experimental investigations, solving of complex cases in this process