The aim of this study is to highlight the importance of uncertainty assessments in GIS-based multi-attribute land-use decision making. To this end, and based on the basic premise that uncertainty makes a difference, it makes use of an existing deterministic goal-driven and hierarchical GIS-based land-use conflict model known as LUCIS (Land-Use Conflict Identification Strategy), the aim of which is to create a land-use conflict map between agricultural, urban and ecologically sensitive land-use preferences for future planning scenarios. Being confined to its agricultural preference (overall goal) mapping, the newly developed uncertainty models and maps are compared with their corresponding deterministic models and maps at each level of the LUCIS hierarchy. The comparative models are applied to the case of Hillsborough County in Florida, which is characterized by a high level of conflict between the three land uses. Different levels of differences in terms of pattern/shape/form and the degree of agricultural land-use suitability are identified and assessed at all levels of the hierarchy.
Development of sense of claiming the city in its residents with consciousness of "urbanity" or "citizenship" and sense of belonging depends basically on the knowledge and awareness for the cultural assets that are owned by the others or the public along with those on their own posession. Based on a theoretical discussion, the study focuses on the construction process and the general context of a data infrastructure that would contribute to formation of such awareness. For this purpose, within the contemporary context formed by social dynamics, the focus is the age of "glocalization" as popularized by Robertson. It discusses the requirement of an interactive, geographical and new-technology inventory of cultural assets that allows the inclusion of the community during its formation and later lets the access, monitoring and expression of the reaction of this community if needed, rather than the design of an inventory of cultural assets database for a case area. Such an inventory of urban cultural assets, which should also be compatible with the existing international and/or national systems and standards, is emphasized in this paper. However, the possibility to expand such a data infrastructure within its own context in time, formation of similar inventories for rural settlements and natural assets within a larger geographical context and their use for conservation and improvement of these resources are equally important.Anahtar sözcükler: Coğrafi bilgi sistemi; kenti sahiplenme; kültür varlıkları envanteri; küyerelleşme; veri tabanı.
Regardless of the level or scale, the fundamental requirement in the process of policy development or decision making in planning is the use of quality and efficient data infrastructure. This study describes the construction stages of such data infrastructure to form the basis of conservation-oriented strategic decision making in a participatory process considering the local and regional peculiarities of a particular rural area. By adopting a specific planning approach, it presents the differences of this data infrastructure from the data content in conventional upper scale planning approaches, and also identifies its contribution to ecological sensitivity and rural area classifications as its subsequent prerequisites. Construction stages of such infrastructure for upper and lower scales, which require working in GIS environment due to the scope and diversity of data, are explained in detail. This, at the same time, forms the initial phase of Conservation-Oriented Rural Area Planning known as KOKAP which is the adopted approach in this study. The system allows additional data diversity in case it is employed in different regions or locations. Superior aspects of the developed system are put forward by comparing the existing upper scale planning processes with the main principles of KO-KAP and the related data infrastructure. Finally, the contributions of the study in identifying the ecological sensitivities at different planning levels, and rural area classifications at national and local levels are discussed.Anahtar sözcükler: Coğrafi bilgi sistemi-tabanlı veri tabanı tasarımı; koruma odaklı kırsal alan planlaması (KOKAP); kırsal planlama; stratejik mekânsal planlama.
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