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| Author(s): |
Odair Barbosa de Moraes
Total Authors: 1
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| Document type: | Doctoral Thesis |
| Press: | São Paulo. |
| Institution: | Universidade de São Paulo (USP). Escola Politécnica (EP/BC) |
| Defense date: | 2008-09-03 |
| Examining board members: |
Alex Kenya Abiko;
Liang Yee Cheng;
Maria Cristina Dias Lay;
Sheila Walbe Ornstein;
Marcos Jorge Almeida Santana
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| Advisor: | Alex Kenya Abiko |
| Abstract | |
Large cities in Brazil currently present a picture of inequality and segregation resulting from decades of conflict over the occupation of urban land. Access to land has become a social barrier which excludes a large part of the urban population from basic urban goods and services. A number of initiatives - including slum clearance and upgrading - have been undertaken over the years in an effort to ameliorate the problems arising from informal occupation in urban environments. From past actions, criticism has been developed towards slum clearance and towards the pattern of periphery housing schemes built by the Housing National Bank (BNH). Little is known about the performance outcome of the current actions, including slum upgrading. Post-Occupancy Evaluation (POE) and indicator systems have been used as important tools for the provision of information on the built environment in different scales. Although these methods recognize the importance of the views of users in the evaluation process, they fail to adequately reflect the prevailing subjective concepts of quality. If on the one hand, the uncertainties in this type of information have imposed limitations on the traditional analysis, on the other hand, the emergence of new theories and models that seek to incorporate analysis of uncertainty creates new knowledge fields: Fuzzy Logic is one of these new fields. This thesis aims to establish a method of data analysis for environmental quality evaluation of upgraded urban areas, taking into account the views of dwellers using Fuzzy Logic. POE and indicator systems were combined with Fuzzy Logic to develop analysis tools that formally represent vague and ill-defined information presented in this kind of evaluation. The method obtained is composed of six stages: (i) definition of variables/indicators, (ii) data collection, (iii) identification of strengths and weaknesses, (iv) obtaining quantitative and qualitative indicators, (v) analysis of results and (vi) environmental quality report. Results were satisfactory and it was possible to add more information into analyses. Studies carried out in a pilot research and validation researches of this method in areas of the Ribeira Azul Program showed great chances of success of interventions, but they also showed unresolved problems that deserve attention in future projects. Finally, additional researches are recommended in continuation of this research for the development of tools based on fuzzy logic, since a large number of possibilities of applications were disclosed in the course of this research. (AU) | |