Decision Support Methodologies

Code:

PDPT005

Acronym:

MAD

Keywords
Classification	Keyword
OFICIAL	Urbanism and Spatial Planning

Instance: 2023/2024 - 2S

Active?	Yes
Responsible unit:	Department of Civil Engineering
Course/CS Responsible:	Doctoral Program in Spatial Planning

Cycles of Study/Courses

Acronym	No. of Students	Study Plan	Curricular Years	Credits UCN	Credits ECTS	Contact hours	Total Time
PDPT	2	Syllabus	1	-	6	36	162

Teaching language

English

Objectives

Students should be aware of the meaning and usability of data analysis and decision support quantitative methods. Students will learn quantitative methods and techniques.

Learning outcomes and competences

Develop skils in data treatment and data analysis in solving problems.

Working method

Presencial

Program

Data analysis techniques. Revision of basic probability and statistics techniques. Multiple regression – model estimation (least squares, maximum likelihood) and testing. Analysis of variance (ANOVA). Spatial regression (point and areal data). Structural equations modeling. Software. Applications to spatial planning.

Formal decision support methods. Introduction to the particularities and complexity in urban and regional planning decision problems. Classical analysis of cost-benefits: quantitative evaluation methods and critique. Multidimensional approaches: the explicit consideration of multiple criteria simultaneously. Multi-attribute techniques: compensatory and non-compensatory methods. Topics of multiobjective modeling: construction of models, generation and analysis of solutions. Presentation and discussion of case studies.

Simulation techniques. Discrete-event models. Systems dynamics models. Cellular automata models. Multi-agent models. Software. Applications to spatial planning. 

Mandatory literature

Bouysson, D.; Marchant, T.; Pirlot, M.; Perny, P.; Tsoukias, A.; Vincke, P; Evaluation and Decision Models - A Critical Perspective, Kluwer Academic Publishers, 2000
Cohon, J; Multiobjective Programming and Planning, Orlando, Academic Press, 1978
Klosterman, R.; Brail R. ; Planning Support Systems, ESRI Press, 2001
Nijkamp, P.; Rietveld, P.; Voogd, H. ; Multicriteria Evaluation in Physical Planning, North-Holland, 1990
Rietveld, P; Multiple Objective Decision Methods and Regional Planning, North-Holland, 1980
Steuer, R; Multiple Criteria Optimization: Theory, Computation and Application, John Wiley & Sons, New York, 1986
Timmermans, H.; Decision Support Systems in Urban Planning, E&FN Spon, 1997

Teaching methods and learning activities

Teaching methods: lectures combining theoretical explanations with exercise solving and with conceptual and real-case discussions.

Evaluation methods: participation in classroom activities; home assignments; and written final exam.

Evaluation Type

Distributed evaluation with final exam

Assessment Components

Designation	Weight (%)
Exame	70,00
Participação presencial	30,00
Total:	100,00

Calculation formula of final grade

Exam 70% + Attendance 30%