Levent, Tuzin Baycan (Vrije Universiteit Amsterdam, Faculteit der Economische Wetenschappen en Econometrie (Free University Amsterdam, Faculty of Economics Sciences, Business Administration and Economitrics) Nijkamp, Peter
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Urban green spaces play a key role in improving the liveability of our towns and cities. The quality and viability of cities depend largely on the design, management and maintenance of urban green as well as on open and public spaces that make up an important social constellation and offer a visual representation of urban quality. Actually, urban green spaces may be seen as an important contribution to a sustainable development of cities. However, the full potential of green spaces is not always realized, so that current management practices are sometimes sub-optimal. From a policy perspective, the results of several case studies have highlighted critical policy needs and priorities for the development and management of urban green spaces. It is, therefore, of strategic importance to compare and evaluate urban green space policies for identifying the best practices with a view to proper policy recommendations and guidance for urban society and planning authorities in order to improve the quality of life in modern cities. Against this background, the present study investigates urban green spaces from a policy evaluation perspective and analyses in a comparative sense European cities in order to obtain strategic and policy relevant information on the key features of urban green. The study aims to compare and evaluate the current management practices in various European cities on the basis of the actual performance of urban green space policies. The data and information used for comparison and evaluation are based on extensive survey questionnaires filled out by relevant departments or experts of municipalities in European cities which aim to share their experience in innovative green space policies and strategies. As a rather novel methodological contribution, a recently developed artificial intelligence method, i.e. rough set analysis, is deployed to assess and identify the most important factors that are responsible for successes and failures of urban green space policies. Our approach is able to reveal the most critical policy variables
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Paper provided by VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics in its series Serie Research Memoranda with number
0022.
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