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        Statistical index (SI) as spatial modeling to evaluate the potential for greenbelt development in medium-sized Iranian cities

        Sharareh Madanian,Carlos Smaniotto Costa 대한공간정보학회 2020 Spatial Information Research Vol.28 No.5

        The present paper addresses spatial modeling for an easy and effective way to evaluate the greenbelt potentials in medium-sized cities in Iran. Data were collected from the cities of Babol, Kashan, Neyshabour, and Qazvin, and analyzed through geographical information system (GIS). All key variables were systematically set in an evaluation matrix called a statistical index (SI). The SI values were used to assess the current landscape pattern potentials for implementing greenbelts in these four cities. The results revealed moderate spatial suitability for greenbelt development for two cases (Neyshabour and Kashan) with SI values of 0.406 and 0.333, respectively. On the other side, the model showed high spatial suitability for the two other cases (Qazvin and Babol) with SI values of 0.654 and 0.523, respectively. Overall, the case of Qazvin revealed better chances for the development of a greenbelt, due to existing orchards as a sub-natural protection ring surrounding the city. This spatial model as pioneer research in quantifying greenbelt development potentials can be a successful practice for urban planning in medium-sized cities; this not only for Iranian cities, but it can be a new method to investigate greenbelt potential in other cities in Middle Eastern countries.

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