Abstract
Urban green spaces are recognized as key ecological service providers to urban dwellers with multiple functions and also an important pillar of sustainable development. The multi criteria nature and the uncertainty associated with the assessing of green space development make the issue as complex as cannot be addressed with conventional logical methods. One of the most important methods of multi criteria assessment is Fuzzy Inference System (FIS). This paper assesses urban green space development within Shiraz metropolitan area, Iran based on various criteria by designing a special fuzzy inference system. The data for the present study were collected through questionnaires and semi-structured interviews. The result revealed that increase in green space area and the per capita allocated to each person and subsequently the improvement in their distribution pattern in the last decade have changed the status of the majority of regions' green spaces toward relatively developed and definitely developed regions. Predictions and strategic analysis of the developing green space found that, if the growth rate of green space area exceeds 30%, region 7 will be a relatively developed region and if the increase in the area of this land use exceeds 45%, it will be definitely a developed region.Keywords: Green Spaces, Multi criteria, Fuzzy Inference System
Highlights
Urban green space includes everything in cities that has the vegetation
Since urban green space is associated with multi-dimensional values, the quality of its development requires a careful empirical assessment based on different criteria
As can be seen in the comparative diagram of fuzzy inference, by increasing the areas allocated to parks and thereby increasing access of a region's residents to parks and increasing per capita during the period of 2001-2011, regions 2, 3, 4, 5, 6 and 7 each have achieved a level of green space development
Summary
Urban green space includes everything in cities that has the vegetation. Collectively it is sometimes referred to as ‘Green Infrastructure’, encompassing the entire working landscape in cities that serve roles such as improving air quality, flood protection and pollution control (Girling and Kellett, 2005). The author Jane Jacobs (1967) claims that green spaces, in particular parks, are the most valuable, as they often stand in direct contrast to a very compact and busy city life She argues that green areas provide the crowded city with certain functions, and agree with modernist planners who considered parks as “self-evident virtue” (Jacobs, 1961). Since urban green space is associated with multi-dimensional values, the quality of its development requires a careful empirical assessment based on different criteria. Subjects such as development and sustainability have never been so discussed and need a comprehensive framework when assessing their quality relating to green space, because the imprecision and uncertainty appear to be a general characteristic of development. The uncertainty and the multi criteria nature of development is known as fuzzy uncertainty
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