Fuzzy-based methodological proposal for participatory diagnosis in the linear parks management

Abstract

Participatory decision-making in the management of linear parks can provide better outcomes than classical top-down procedures. However, the integration of technical knowledge with the understanding of the community requires an approach able to deal with uncertainty, due to the issues of vagueness and subjectivity. Therefore, the present paper introduces a fuzzy-based proposal for supporting participatory diagnosis. For this purpose, five Mamdani-type systems were built based on the knowledge of experts, including as indicators the species richness of fauna and flora, land cover, basic and recreational facilities, support services, and the park users’ perceptions. By integrating such indicators, three indexes were obtained for assessing the natural condition, infrastructure, and functional performance of a linear park. The proposed system was then applied in a case study of the Tiquatira linear park in São Paulo city, Brazil. The results indicated that the park has high functional performance, but that improvements in its natural condition and infrastructure are needed, such as the reclamation of disturbed areas and ongoing maintenance of the facilities. The use of fuzzy modeling enabled integration of the technical assessment by experts and the users’ perception, in order to support a participatory diagnosis taking into account the existing uncertainties. In conclusion, this fuzzy-based proposal can be considered a promising approach for the participatory management of linear parks. In future studies, techniques for the case-by-case weighting of variables could be assessed, in order to strengthen the systems described in the present paper.