Abstract
The paper aims at the development of a Collaborative Multi-Criteria Spatial Decision Support System (C-MC SDSS) for the evaluation of multifunctional landscape according to a human smart perspective. The C-MC SDSS addresses landscape transformation and preservation processes, leading to consistent choices with the principles of local self-sustainable development, considering the decision-making environment as a heterogeneous field, where conflicting interests interplay. The methodological approach, implemented in the case study of the National Park of Cilento, Vallo di Diano and Alburni (Southern Italy) demonstrates that the inclusion of web-based data and common knowledge in MC-SDSSs is a major challenge. The multidimensional nature of the landscape evaluation requires a mutual understanding, communication and collaboration, allowing an expansion of the knowledge-base to sharpen questions and improving the quality of the decision process. The paper investigates potentials of a C-MC SDSS for supporting transparent and democratic decision processes, helpful in selecting landscape enhancement policies.
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Attardi, R., Cerreta, M., Poli, G. (2015). A Collaborative Multi-Criteria Spatial Decision Support System for Multifunctional Landscape Evaluation. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2015. ICCSA 2015. Lecture Notes in Computer Science(), vol 9157. Springer, Cham. https://doi.org/10.1007/978-3-319-21470-2_57
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DOI: https://doi.org/10.1007/978-3-319-21470-2_57
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