Learning urban capabilities from behaviours. A focus on visitors values for urban planning

Evaluating environmental resources such as urban and territorial opportunities means understanding their value. Monetary values are not always suitable to synthesize the opportunity that such resources give to the development of individuals in urban space. We propose a spatial multi-criteria analysi...

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Bibliographic Details
Published in:Socio-economic planning sciences 2021-08, Vol.76, p.100969, Article 100969
Main Authors: Fancello, Giovanna, Tsoukiàs, Alexis
Format: Article
Language:English
Subjects:
Assets
Capability approach
Case studies
Computer Science
Learning
Measurement
Multi-attribute value theory
Operations Research
Policy analytics
Resources
Spatial multi-criteria analysis
Urban areas
Urban development
Urban planning
Values
Visitors
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Summary:Evaluating environmental resources such as urban and territorial opportunities means understanding their value. Monetary values are not always suitable to synthesize the opportunity that such resources give to the development of individuals in urban space. We propose a spatial multi-criteria analysis method oriented to analyse values that individuals give to different urban and territorial opportunities within a capability approach framework. We analyse visitors’ behaviour in space and we learn their urban capabilities considering the values they give to environmental resources and assets. In order to learn such values we use a multi-attribute value measurement method. Furthermore, we define groups of people with similar values of urban opportunities and with similar relevant urban capabilities. This consents to design more legitimated policies aimed to expand the set of relevant capabilities for a given population target. The method is experimented and illustrated with a case study of urban planning for the city of Alghero. •Integrating MCDA with GIS methods to evaluate people's value of urban and environmental opportunities.•Building value functions representing the preferences of visitors.•Clustering visitors with similar preferences on urban and territorial opportunities.•Elaboration of Decision maps for different groups of visitors.•Support of policy makers in the definition of spatial policies legitimated by citizens.
ISSN:0038-0121
1873-6041
DOI:10.1016/j.seps.2020.100969