Multi-criteria analysis for locating new urban forests: An example from Isparta, Turkey

Gül, Atila; Gezer, Abdullah; Kane, Brian

doi:10.1016/j.ufug.2006.05.003

Cited by 22 publications

(10 citation statements)

References 14 publications

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“…However, DSSs have had to adapt to changes, for example, the need to consider different dimensions (environmental, social, and economic) has required tools that can process them, such as multi-criteria approaches used in forestry such as in Ananda [8] or Nordström et al [10], or in the field of water resources, in Paneque Salgado et al [26]. In addition, the participation of society in decision making has motivated the development of approaches that allow this, such as the surveys used by Rosenberger et al [11] or Gül et al [27] in their forestry research, or the focus groups developed by Corral Quintana [28] in public policy-making processes, Corral-Quintana et al [29] in desertification issues, or Acosta and Corral [12] in forest areas.…”

Section: Decision Support Systemsmentioning

confidence: 99%

“…In this sense, several authors reaffirm the importance of involving social actors in environmental processes, such as Buchy and Hoverman [72], Funtowicz Classification of research according to degree of participation. Based on [8,10,12,13,21,27,32,38,42,50,52,[63][64][65][66][67][68][69][70].…”

Section: Mcda In Forest Environments From the Perspective Of The Inclmentioning

confidence: 99%

“…On the other hand, in relation to the weighting of criteria, a temporal progression of participation has not been found; for example, in Gül et al [27] or Hayati et al [52], it is the experts who carry out this work. In the case of research developed by Gül et al [27], the weighting coefficients arose from surveys with local experts in green space management. In the case of Hayati et al [52], information on the weightings of these parameters also arises through questionnaires.…”

Section: Choice Of Criteria For Assessments In the Proposal And Assesmentioning

confidence: 99%

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Multicriteria Decision Analysis and Participatory Decision Support Systems in Forest Management

Acosta

Quintana

2017

Forests

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Growing concern about issues such as environmental quality or the sustainability of natural resources has led to the use of the Decision Support System (DSS), which originated in the business field, and is now part of environmental decision-making processes. The presence of environmental, social, or economic dimensions has helped decision support systems to evolve to be able to tackle investigations that can contemplate all these variables, such as in the case of multicriteria decision analyses. In addition, new lifestyles, in which society recognizes more and more the contribution of forests to its welfare, have led to the need to involve stakeholders in decision-making processes. This article presents a review of different Multicriteria Decision Analysis (MCDA) and participatory decision support systems applied to forest environments. This last point is presented from the perspective of stakeholder participation in the processes and from the point of view of procedures or tools used. To do this, some of the research performed in forest environments within this current century is reviewed.

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Section: Decision Support Systemsmentioning

confidence: 99%

Section: Mcda In Forest Environments From the Perspective Of The Inclmentioning

confidence: 99%

Section: Choice Of Criteria For Assessments In the Proposal And Assesmentioning

confidence: 99%

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Multicriteria Decision Analysis and Participatory Decision Support Systems in Forest Management

Acosta

Quintana

2017

Forests

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“…Further adaptations have also sought to include social and environmental values within CBA (Fujiwara and Campbell, 2011). Whereas others argue the solution lies in alternatives such as Multi Criteria Analysis (Thomopoulos et al, 2009) that have proved successful in selecting locations for urban green infrastructure (Gül, et al, 2006).…”

Section: Equity In the Distribution Of Burdensmentioning

confidence: 99%

Infrastructure, Equity and Urban Planning: A Just Process for the Allocation of Benefits and Burdens

Durrant

2017

Green Energy and Technology

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This chapter asks first, what is infrastructure or more importantly infrastructures as the physical artefacts and technologies are inextricably intertwined with complex economic, social and ecological systems. This is central to the first dimension of equity considered, distributional equity. Infrastructures allocate different 'goods' spatially and to population groups therefore to understand the impacts of infrastructures upon distributional equity it is important to understand what exactly they are and what goods they produce. Second, planning and the planning of infrastructures highlight the importance of procedural equity and equality of input into the process. The next section examines definitions of equity and their application to urban planning and urban infrastructure. This draws upon three philosophical analyses of the concept and ways in which it has been recently applied to develop principles that could reshape the way infrastructure is planned and provided. A framework is developed to illustrate the ways in which the planning of urban infrastructure might be used to establish more equitable outcomes. This is based upon a vertical axis along which procedural inputs influence the way the planning process allocates distributional outputs. These are distributed along a horizontal axis of benefits and burdens with the planning process used as a means of establishing minimum and maximum permissible thresholds. As the examples of infrastructure that has been planned and delivered specifically to address issues of social equity are few and far between the chapter is interspersed with examples of where some dimensions have been addressed either explicitly or indirectly.

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“…Academic studies on urban forestry in Turkey already began in the 1980s, even though these studies were quite rare. So far, a variety of scientific studies are either elaborating on a conceptual framework for urban forestry or study what has been done in Turkey on urban forests (Atay, 1988;Coşkun and Velioğlu, 2004;Gül et al, 2006;Gezer and Gül, 2009;Atmiş et al, 2011;Kurdoğlu et al, 2011). Besides these studies, Atmiş et al (2007) showed that rapid urbanization increased the pressures on forests in Turkey and these pressures caused considerable adverse effects on the forests.…”

Section: Introductionmentioning

confidence: 99%

Türkiye'de kent ormanlarının kullanımını etkileyen faktörler

Atmış

Günşen

Yücedağ

et al. 2017

Turkish Journal of Forestry | Türkiye Ormancılık Dergisi

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T he aim of this paper is to find drivers behind visitor's participation in the use of urban forests and to explain the differences in co-operation in urban forest management with the help of game theoretic modeling. For this purpose, data regarding public urban forests of T urkey were collected and analyzed by various statistical methods. According to the principal component analysis, leading factors affecting the use of urban forest were, ordered from the most important to the least important: (1) forest versatility, (2) management intensity, (3) visitor services, (4) forest tranquility, and (5) forest activities. T hese five factors accounted for 71% of the total variance among the variables. Furthermore, multiple regression analyses showe d that, especially in cities with an abun dance of forests, th e use of urban forests was not widespread, whereas ur ban forests were visited more in the settlements having a high number of young population and a large family size. T he estimated game theoretic model on participation indicated that the availability of forest services among visitors was generally harmonious. It could be concluded that urban forestry has to focus, not only on increasing the number and size of ur ban forests, but also on educating all relevant social groups in society on how to use urban forests in a sustainable and responsible manner. Ke ywords: Green infrastructure, Management, Urbanization, Recreation Türkiye'de kent ormanlarının kullanımını etkileyen faktörlerÖze t: Bu makalenin amacı, kent ormanlarının kullanımında ziyaretçilerin katılımını etkileyen faktörleri ortaya koymak ve kent ormanı yönetimindeki farklılıkları oyun teorisi modellemesi yardımıyla açıklamaktır. Bu amaçla, T ürkiye'deki kent ormanları i le ilgili veriler toplanmış ve bu veriler farklı istatistik yöntemlerle analiz edilmiştir. T emel Bileşenler Analizi'ne göre, kent ormanlarının kullanımını etkileyen başlıca faktörler en önemliden en aza doğru (1) orman çok yönlülüğü, (2) yönetim gücü, (3) ziyaretçi hizmetleri, (4) orman rekreasyonu ve (5) orman aktiviteleri olarak sıralanmıştır. Bu beş faktör değişkenler arasındaki toplam varyansın %71'ini açıklamaktadır. Bundan başka, çoklu regresyon analizi özellikle ormanların çok olduğu şehirlerde ken t ormanlarının çok kullanılmadığını buna karşılık genç nüf us ve aile birey sayısının fazla olduğu yerleşim yerlerinde kent ormanlarının daha çok ziyaret edildiğini göstermiştir. Katılımcı üzerine yürütülen tahmini oyun teorisi modeli ise ziyaretçil er arasındaki orman hizmetlerinden yararlanmanın genellikle uyumlu olduğunu göstermiştir. Bu çalışmayla, kent ormancılığının sadece kent ormanlarının sayısını ve büyüklüğünü artırmaya değil, aynı zamanda kent ormanlarının sürdür ülebilir ve sorumlu bi r şekilde nasıl kullanılacağı konusunda bütün ilgi gruplarını eğitmeye odaklanması gerektiği sonucuna ulaşılmıştır.

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Multi-criteria analysis for locating new urban forests: An example from Isparta, Turkey

Cited by 22 publications

References 14 publications

Multicriteria Decision Analysis and Participatory Decision Support Systems in Forest Management

Multicriteria Decision Analysis and Participatory Decision Support Systems in Forest Management

Infrastructure, Equity and Urban Planning: A Just Process for the Allocation of Benefits and Burdens

Türkiye'de kent ormanlarının kullanımını etkileyen faktörler

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