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2378. A Diachronic Index for Assessing Landscape Economic Value
Invited abstract in session MC-47: How to support complex decisions. Negotiating the trade-off between Social, Environmental and Economic values 1, stream Multiple Criteria Decision Analysis.
Monday, 12:30-14:00Room: 50 (building: 324)
Authors (first author is the speaker)
1. | Sebastiano Barbieri
|
Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino | |
2. | Marta Bottero
|
Department of Urban and Regional Studies and Planning, Politecnico di Torino | |
3. | Caterina Caprioli
|
Interuniversity Department of Regional and Urban Studies and Planning, Politecnico di Torino | |
4. | Giulia Datola
|
DAStU - Department of Architecture and Urban Studies, Politecnico di Milano |
Abstract
Landscape, as an environmental asset, can be evaluated using various techniques. One of the most common approaches is to use a system of indicators, to take account of the different characteristics that make up the landscape. Indicators alone cannot provide a comprehensive overview of territories. In addition, territories are characterised by dynamics and characteristics that change over time, requiring a diachronic analysis. Within this context, the present work proposes a Multi-Criteria Analysis (MCA) to provide a synthetic index capable of describing the economic value of the landscape. For the elaboration of that index, many data referring to various aspects and different periods are considered. Specifically, the current state of the landscape is compared with past recognized conditions, taking into account the dynamics of agriculture, tourism, real estate market and forest dimensions over time. The aim is to provide systematic information useful to support decision-makers and policymakers in the protection, conservation, and planning of the landscape at a regional scale. To test the selected set of criteria and the construction of the index, the present study applies the proposed method to the Piedmont region in north-west Italy, because of its diversity of landscapes, ranging from
mountains and hills to plains.
Keywords
- Decision Support Systems
- Strategic Planning and Management
- Sustainable Development
Status: accepted
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