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| SBP3004 | Models in Urban Planning | 2+0+0 | ECTS:2 | | Year / Semester | Spring Semester | | Level of Course | First Cycle | | Status | Compulsory | | Department | DEPARTMENT of URBAN and REGIONAL PLANNING | | Prerequisites and co-requisites | None | | Mode of Delivery | | | Contact Hours | 14 weeks - 2 hours of lectures per week | | Lecturer | Prof. Dr. Aygün ERDOĞAN | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | Adoption of systems approach in urban and regional planning studies; use of urban models in planning problems; allocation of population, employment and economic activities of cities and regions to inner and inter city regions by use of gravity/potential/spatial interaction models; determining suitable areas for different sectors and activities through location models; comprehension of decision making methods and models in planning.
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| Learning Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | LO - 1 : | comprehend systems, their features, systems approach and analysis in planning. | 2,5,12 | 1,3, | | LO - 2 : | learn modelling concept, its purpose and development of models in solving the planning problems, and will be able to differentiate between different types of models. | 2,5,12 | 1,3, | | LO - 3 : | model the population, employment and economic activities in urban and regional planning. | 2,5,12 | 1,3, | | LO - 4 : | apply different decision making methods and models in solving planning problems. | 2,5,12 | 1,3, | | LO - 5 : | determine suitable areas for different urban and regional sectors and activities by use of location models. | 2,5,12 | 1,3, | | LO - 6 : | allocate population, employment and economic activities of cities and regions to inner and inter city regions by use of gravity/potential/spatial interaction models and they will be able to calibrate these models. | 2,5,12 | 1,3, | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), LO : Learning Outcome | | |
| Systems in planning; Systems approach; System features and analysis; Modelling concept and its purpose, Model development and types of models; Population, employement and economic activity models; Decision making techniques and models; Site selection models, Gravity/Potential/Spatial Interaction models; Model calibrations; Examples. |
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction to basic subjects, concepts and context of the course | | | Week 2 | Systems (definition, features,...) and systems approach, settlement systems, systems of cities, modelling concept and its purpose, development of models and types of models | | | Week 3 | Models for population projection: Extrapolation methods, assignment of term paper | | | Week 4 | Models for population projection: Cohort-survival methods | | | Week 5 | Population, employment and economic activity models: Economic base model | | | Week 6 | Population, employment and economic activity models: Constant-share, shift share techniques, and revision of population projections by use of these in migration calculations | | | Week 7 | General context of gravity/potential/spatial interaction models and their calibrations (Land use/Transportation related models) and Hansen model | | | Week 8 | Lowry-Garin model | | | Week 9 | Origin or destination (single) constrained gravity models | | | Week 10 | Decision making methods and models: Cost-Benefit, Cost-effectiveness, Game theory, Decision tree technique | | | Week 11 | Mid-term exam | | | Week 12 | Examples of Multi criteria Decision Techniques: Weighted Linear Combination, Linear/Integer programming | | | Week 13 | Site selection models | | | Week 14 | Examples on previous lectures' topics | | | Week 15 | Examples on previous lectures' topics; submission of term papers | | | Week 16 | Final exam | | | |
| 1 | Dökmeci, V., 2005, Planlamada Sayısal Yöntemler, (Başvuru Kaynakları Dizisi No:2), İstanbul: İTÜ Yayınevi | | | 2 | Çubukçu, K. M., 2015, Planlamada Klasik Sayısal Yöntemler, 2. Basım, Ankara: Nobel Yayıncılık | | | |
| 1 | Lee, C., 1973, Models in Planning: An Introduction to the Use of Quantitative Models in Planning. Pergamon Press | | | 2 | Aydemir, Ş., 1989, Kent Planlama Teknikleri, KTÜ, Trabzon | | | 3 | Atalık, G., 1995, Kent Planlama Teknikleri, İTÜ, İstanbul | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 9 | 25/04/2023 | 3 | 25 | | Homework/Assignment/Term-paper | 15 | 06/06/2023 | 3 | 25 | | End-of-term exam | 16 | 13/06/2023 | 3 | 50 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 2 | 14 | 28 | | Sınıf dışı çalışma | 1 | 14 | 14 | | Arasınav için hazırlık | 4 | 1 | 4 | | Arasınav | 1 | 1 | 1 | | Ödev | 2 | 4 | 8 | | Dönem sonu sınavı için hazırlık | 4 | 1 | 4 | | Dönem sonu sınavı | 1 | 1 | 1 | | Total work load | | | 60 |
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