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Course Information

Course Name
Turkish Planlamada Kantitatif Yöntemler
English Quantitative Meth. İn Planning
Course Code
SBP 332E Credit Lecture
(hour/week)
Recitation
(hour/week)
Laboratory
(hour/week)
Semester 6
3 3 - -
Course Language English
Course Coordinator Hasan Serdar Kaya
Course Objectives 1.Giving information about potential of using numerical methods in planning
2.Increasing ability of students to use mathematical models
3.Teaching numerical methods using process to students
4.Introducing to students with examples that numerical methods are an effective tool in planning process
Course Description Numerical methods in planning lesson is to give students setting up problems systematically, providing different aspects to look up these problems, defining relation or relations among problems, using mathematical models in deciding process as a tool to solve these problems.
Course Outcomes Student, who passed the course satisfactorily can: 1. Quantitative methods and estimating in planning: The estimating techniques devoted to future , advanced planning techniques, modeling and settlement simulations as planning activities. 2. The use of Information Technologies in planning: Using technology and computers in data collection and assessment process of planning. 3. Research skills: Every stage of planning and design process, gathering data, producing data, usage of analysing techniques, defining problem and synthesizing. 4. Critical Thinking Skills: The ability of multi-perspective analysis on different scale settlements, sensing the spatial assessments from different perspectives,perception, defining and expressing. 5. Capability of analysing current state and the applications: Considering the current state of the urban area, interpreting the planed-unplanned developments, considering the spatial organizations whichSystems of settlements in different size and structure: System differences in metropolitan area, metropolis and the cities in different sizes, structural differences of the cities, the concept and methZoning balance: Balanced distribution of function areas, accessibility and equity for the common places. 6. Systems of settlements in different size and structure: System differences in metropolitan area, metropolis and the cities in different sizes, structural differences of the cities, the concept and methZoning balance: Balanced distribution of function areas, accessibility and equity for the common places. 7. Zoning balance: Balanced distribution of function areas, accessibility and equity for the common places. 8. Thinking on alternatives and the scenario development: Considering on the multi-side structure of planning; reducing alternatives bound to scenarios, which have different system, tool and solutions, anLand use-Transportation systems: The relation systems between functions in the process of planning, different transportation systems and levels depend on the accessibility between functions for the bigWorking areas: City centers , low level centers, industry areas, service areas and CBD. 9. Land use-Transportation systems: The relation systems between functions in the process of planning, different transportation systems and levels depend on the accessibility between functions 10. Working areas: City centers , low level centers, industry areas, service areas and CBD.
Pre-requisite(s)
Required Facilities
Other
Textbook Dökmeci, V. (2005). Planlamada sayısal yöntemler: İTÜ Yayınevi.
Other References Lee, C. (1973). Models in Planning: An Introduction to the Use of Quantitative Models in Planning: Pergamon.
Çubukçu, K. M. (2008). Planlamada klasik sayısal yöntemler. Ankara: ODTU yayıncılık.
Hansen, W. G. (1959). How Accessibility Shapes Land Use. Journal of the American Institute of Planners, 25(2), 73-76.
Wilson, A. G., & Kirkby, M. J. (1975). Mathematics for geographers and planners: Clarendon press.
Hansen, W. G. (1959). Accessibility and residential growth. Massachusetts Institute of Technology,
Garin, R. A. (1966). Research note: A matrix formulation of the lowry model for intrametropolitan activity allocation. Journal of the American Institute of Planners, 32(6), 361-364.
Chan, Y. (2005). Location, transport and land-use: modelling spatial-temporal information: Springer Science & Business Media.
Kaya, H. S. (2003). Kentsel Mekan Zenginliğinin Kaos Teorisi ve Fraktal Geometri Kullanılarak Degerlendirilmesi. Kentsel Tasarım Yüksek Lisans Programı. İstanbul, İstanbul Teknik Üniversitesi. Yüksek lisans Tezi.
Kaya, H. S. (2010). Kentsel dokunun dinamik yapısının analizine yönelik sayısal yöntem önerisi. Fen Bilimleri Enstitüsü, Şehir ve Bölge Planlama Anabilim Dalı. İstanbul, İstanbul Teknik Üniversitesi. Doktora Tezi.
Kaya, H. S. and F. Bölen (2017). "Urban DNA: Morphogenetic analysis of urban pattern." ICONARP International Journal of Architecture & Planning 5(1): 10-41.
Yüzer, M. A. (2004). Growth estimations in settlement planning using a land use cellular automata model (LUCAM). European Planning Studies, 12(4), 551-561.
 
 
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