Mourão Moura - input2012

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Geoprocessing, Multi-criteria Analysis, Conflict of interest and Simulation of Landscape Intervention: learning topics in Urban Planning, at UFMG Brazil learning topics in Urban Planning, at UFMG Brazil Prof. Ana Clara M. Moura Federal University of Minas Gerais -Brazil School of Architecture Department of Urban Planning

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Ana Clara Mourão Moura on "Geoprocessing, Multi-criteria Analysis, conflict of interest and simulation of landscape intervention: learning topics in urban planning, at UFMG – Brazil"

Transcript of Mourão Moura - input2012

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Geoprocessing, Multi-criteria Analysis, Conflict of interest and Simulation of Landscape Intervention: learning topics in Urban Planning, at UFMG – Brazillearning topics in Urban Planning, at UFMG – Brazil

Prof. Ana Clara M. Moura

Federal University of Minas Gerais - Brazil

School of Architecture

Department of Urban Planning

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Recently, a new Architecture and Urbanism night coursewas created at the Architecture School at the Federal University of

Minas Gerais. Since it emphasizes urban planning, it differs

from the daily course, which has a focus on building project. This

new emphasis makes fundamental that students familiarizethemselves with geoprocessing tools:

present their planning in a georeferenced manner, usepresent their planning in a georeferenced manner, use

satellite images, treat images with digital imaging

processing for territorial and urban planning, explore

resources from Geographic Information Systems and,

specially, develop analyses and representation models for

urban spaces.

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“Urban Planning Workshop: Local Planning Problems”, discussing issues to a district scale (neighborhood planning)

120 h/a

Objectives:

- the construction of a conceptual base for studies on landscape,

environment, planning, environment, planning,

- spatial perception;

- training on survey activities;

- storage, treatment, and representation of spatial data;

- tuition on spatial analyses methodology;

- diagnostics, prognostics and propositions of spatial intervention,

with the use of geoprocessing;

- the study of public policies and legislations regimenting urban

settlements, regarding their contexts.

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Vale do Sereno district, which is located in a frontier areabetween two municipalities: the Minas Gerais state capital

municipality, Belo Horizonte, and the Nova Lima municipality

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Reasons for this growth reside in its being the most

economically interesting region for selling real estate within the

Metropolitan Region (Região Metropolitana – RMBH) of Belo

Horizonte, and since urban regulations (presented at thedevelopment plan of Nova Lima) authorize thisintense growth and transformation on the urbanlandscape.

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Economic Interests – urban growth and mineral resources

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Environmental interests – landscape value, water resources and

vegetation cover

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Risks of geology / geotechnical conditions

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Methodology for Urban Planning, supported by geoprocessing

– Multi-criteria Analyses and Decision Tree

“Instead of simply describing elements and facts, models for

spatial analyses using GIS can describe scenarios and simulate

phenomena, basing on observed tendencies or considerations

on pre-established conditions. GIS is used also to select analyses

variables and in the study of their combinations. These are

attempts to represent reality in a simpler manner, selecting the attempts to represent reality in a simpler manner, selecting the

most relevant aspects, and seeking information on correlations

and behavior expressed by environmental variables.”

(Moura, 2007)

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Methodology for Urban Planning, supported by geoprocessing – Multi-criteria Analyses and Decision Tree

First Step - Built of Thematic Analysis

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Methodology for Urban Planning, supported by geoprocessing

– Multi-criteria Analyses and Decision Trees

Environmental Interests & Urban Growth Interests

Conflicts of Interests

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Environmental Interest

Synthesis Map

Vegetation cover

Geology / Geotechnical Conditions

Declivity

Conservation Units

Hydrography

30%

17%

23%

12%

12%

Conservation Units

Hilltop 6%

17%

To allocate weights, which demonstrate the relative importance of each variable to the analyses - an opinion average, for maximizing the

consensus using the Delphi method.

“knowledge driven evaluation” & “data driven evaluation”

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Urban Expansion Interest Syntheses

Map

Vegetation cover

Geology / Geotechnical Conditions

Declivity

Residential Density

Conservation Units

10%

12%

25%

15%

6%

Conservation Units

Commerce and services cluster

Hydrography

Hilltop 5%

7%

20%

12%

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Environmental Interests & Urban Growth Interests

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Environmental Interests & Urban Growth Interests

Combination Matrix Conflicting Interests

C - conflict

U - urban settlement

A - environmental protection

SC - non conflict

Us - sustainable urban settlement

High Low

High Low

Us - sustainable urban settlement

Ai - environmental protection with

investment

Ui - urban settlement with investment

T - potential for change

High Low

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CONFLICT OF

INTERESTS

conflict

urban settlement

environmental protection

non conflict

sustainable urban settlement

environmental protection with investment

urban settlement with investment

potential for change

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Studies on landscape perception as an assistance tool for image planning

In order to students benefit the most, we used field work,

interviews with the community, and the making of expressive images,

both by hand drawings and digitally altered photographs, capturing the landscape’s place essence

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Conclusions – Urban Zoning Proposals

The drawing and landscape perception field step was important to

slow down the time spent in observing and apprehending landscape,

while the students understood their main characteristics and values,

they could also mature their reflections on their urban zoning proposals.

The project proposals again face them with geotechnologies, since

we required from them that all processes were undertaken in

tridimensional representations, in a way they could have control

over their project proposals, develop more effective forms of

communication to locals, and simulate their results for prediction

studies.

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Conclusions – Urban zoning proposals

ZEIS ZEOI

ADE

Parque

ZAR

ZHU

AV. LIGAÇÃO

MG030

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Conclusions – Proposed zoning and urban parameters simulation

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Conclusions – Proposed zoning and urban parameters simulation

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Conclusions – Proposed zoning and urban parameters simulation

Next Steps – Text the “City Engine” software – Esri Product

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Prof. Ana Clara M. Moura

Federal University of Minas Gerais - Brazil

School of Architecture

THANK YOU CAGLIARI!!

School of Architecture

Department of Urban Planning

[email protected]

www.arq.ufmg.br Laboratórios Geoprocessamento

We would like to thank the Fundação de Amparo à Pesquisa no Estado de Minas Gerais

– Fapemig (Research Support Foundation for the State of Minas Gerais) for its financial

support in presenting this work in the meeting.