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Conference object . 2015
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Constructing strategies: making actors, strategies and actions interact

Authors: CASU, Alessandra; PLAISANT, Alessandro;

Constructing strategies: making actors, strategies and actions interact

Abstract

In strategic, urban and regional planning, one of the most important steps is the research of a good hierarchy of options, making common sense and expert knowledge match together. In some experiences regarding strategic and regional planning, the authors experimented, after some collaborative constructions of cognitive maps (using Decision Explorer®), a DSS called ASA (Actors, Strategies and Actions), based on the Project Portfolio Management (Lycett et al., 2004), and developed at the University of Sassari LAMP (Lab. Of Analysis and Models for Planning) studio, that provides sequences of actions, that make synergies more evident and offer other opportunities to assess the available options (Blecic et al. 2008), and making them match with other ongoing projects. To assess the actions, criteria are: the interest, the relevance, and the effort --not only financial or economic. The sequences produced can show: projects for the plan activation; to support the plan, or auxiliaries to it. This can also bring to different chrono-programmes, that can help in funding the projects

Country
Italy
Related Organizations
Keywords

Decision Support System; Urban Planning process; Expert Knowledge

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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