Planning of urban green areas based on GIS tools

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Decision processes regarding the use of public resources in green infrastructure requires new approaches capable of providing on-going evaluation and trade-off analysis concerning the level of service that new urban green areas can provide in social-ecological terms. Such information is critical either to improve decision-making, planning practice (e.g. new locations) or even to improve landscape design processes. In order to solve these concerns, the present study aims to provide a model-based tool that allow to estimate service areas in Oeiras municipal ecological structure, but also capable to geographically identify socially meaningful areas for public investment regarding new urban green spaces. The study was developed in two phases. Grounded on kinematic laws and multi-criteria decision principles a conceptual model was initially shaped. Incorporating criteria and sub-criteria such as (i) the friction of slopes and (ii) the friction regarding physical conditions of the pedestrian public space (e.g. materials, dimensions, accessibility conditions, and others) into the model, the results revealed to be consistent with reality. This allowed developing a decision support system based on GRASS GIS and Bottle, in a second phase. The application was developed in Opensource environment using the Phython language, which allows programming the model and having as outputs the simulation of green space service areas and the identification of geographical locations for new ones, improving decision-making in landscape planning context and optimizing human and financial public resources.
Book of proceedings: Annual AESOP Congress, Spaces of Dialog for Places of Dignity, Lisbon, 11-14th July, 2017
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