Territorial planning is the focus of considerable debates, which often develop into uncertain and vulnerable decision contexts. Numbers and quantitative information in fact often dominate the process of decision-making but they are not easily comprehensible through quick and simple reasoning. Nonetheless, the huge quantities of data that describe our cities and regions could provide excellent bases to analyze spatial data in order to assess territories and simulate future development scenarios. The application of innovative digital tools in the analysis of urban issues offers new advantages and opportunities for the improvement of communication values in policies and decision-making processes, concurring to overcome conventional approaches to territorial management. The paper describes the application of the Interactive Visualization Tool (InViTo), a web tool based on maps and visual analysis allowing data to be filtered, explored, interconnected and compared on a visual interface. Data visualization, intended as the way to see the unseen (McCormick et al., 1987), is here used as a new paradigm to highlight the positive and negative effects on spatial systems considering the impacts of choice-alternatives along multiple dimensions. The correlation between information and their localization generates an essential instrument for the knowledge of urban dynamics and resilience in answering to specific policies. The investigation of a number of case studies shows the possibilities and opportunities given by the use of InViTo in creating a shared knowledge between actors involved in decision-making processes and in offering a challenge for integrating new perspectives on the analysis of future cities and regions.
INTERACTIVE VISUALIZATION TOOL (INVITO): A WEB VISUAL TOOL FOR SHARING INFORMATION IN TERRITORIAL DECISION-MAKING PROCESSES / Abastante, Francesca; Pensa, Stefano; Masala, Elena; Gagliarducci, Riccardo. - In: NEWDIST. - ISSN 2283-8791. - ELETTRONICO. - 1:(2016), pp. 113-121. (Intervento presentato al convegno Towards post carbon cities tenutosi a Torino nel 18-19 Febbraio 2016).
INTERACTIVE VISUALIZATION TOOL (INVITO): A WEB VISUAL TOOL FOR SHARING INFORMATION IN TERRITORIAL DECISION-MAKING PROCESSES
ABASTANTE, FRANCESCA;PENSA, STEFANO;MASALA, ELENA;GAGLIARDUCCI, RICCARDO
2016
Abstract
Territorial planning is the focus of considerable debates, which often develop into uncertain and vulnerable decision contexts. Numbers and quantitative information in fact often dominate the process of decision-making but they are not easily comprehensible through quick and simple reasoning. Nonetheless, the huge quantities of data that describe our cities and regions could provide excellent bases to analyze spatial data in order to assess territories and simulate future development scenarios. The application of innovative digital tools in the analysis of urban issues offers new advantages and opportunities for the improvement of communication values in policies and decision-making processes, concurring to overcome conventional approaches to territorial management. The paper describes the application of the Interactive Visualization Tool (InViTo), a web tool based on maps and visual analysis allowing data to be filtered, explored, interconnected and compared on a visual interface. Data visualization, intended as the way to see the unseen (McCormick et al., 1987), is here used as a new paradigm to highlight the positive and negative effects on spatial systems considering the impacts of choice-alternatives along multiple dimensions. The correlation between information and their localization generates an essential instrument for the knowledge of urban dynamics and resilience in answering to specific policies. The investigation of a number of case studies shows the possibilities and opportunities given by the use of InViTo in creating a shared knowledge between actors involved in decision-making processes and in offering a challenge for integrating new perspectives on the analysis of future cities and regions.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2643472