Opinion convergence in location: A spatial version of the Delphi method

Zio, Simone Di; Pacinelli, Antonio

doi:10.1016/j.techfore.2010.09.010

Cited by 35 publications

(29 citation statements)

References 7 publications

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“…To validate this assumption and as an example of possible applications, in this research, a Spatial Decision Support System Group G-SDSS tool has been developed, which is named Geospatial System of Collective Intelligence (SIGIC for its acronym in Spanish and Catalan), with which is intended to determine spatio-temporal locations in an interdisciplinary way (from the geoprospective approach) through the geo-consensus (agreement on territorial locations relative to different opinions) (Di Zio and Pacinelli, 2011).…”

Section: Discussionmentioning

confidence: 99%

Towards a Collective Spatial Analysis - Proposal of a New Paradigm for Supporting the Spatial Decision-making from a Geoprospective Approach

Rosas

Andrés

Monguet

et al. 2015

Proceedings of the 1st International Conference on Geographical Information Systems Theory, Applications and Management

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Abstract:This paper presents the progress of a research work that seeks to establish prospective spatio-temporal locations of goods, services or events in a given territory primarily through the application of concepts and/or tools that combine Collective Intelligence (CI), Geographic Information Science (GISc) and Complexity Theory. Relying on this notion, probable and plausible future scenarios could be projected to conduct various studies within the context of the Geoprospective (an emerging field of research aimed at issues of territorial forecasting), which might provide valuable alternatives in the decision-making process in order to carry out anticipatory actions to achieve or avoid such scenarios. In the light of the above, it is suggested that this kind of Collective Spatial Analysis (CSA) would provide a new paradigm about how to perform spatial analysis, the same that is based on a cognitive approach of a multidisciplinary group of users who collectively participate with their knowledge on an interdisciplinary basis, and not from a limited single user approach that uses geometric, statistical or mathematical geoprocessing algorithms.

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Section: Discussionmentioning

confidence: 99%

Towards a Collective Spatial Analysis - Proposal of a New Paradigm for Supporting the Spatial Decision-making from a Geoprospective Approach

Rosas

Andrés

Monguet

et al. 2015

Proceedings of the 1st International Conference on Geographical Information Systems Theory, Applications and Management

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“…Each spatial answer is complemented by a short argument in text, and each circle also serves the experts as an indication of the limits of the map in regard to the area of the convergence of their opinions or geo-consensus, which comprises at least 50% of all points coming from the answers or opinions by the panel according to Di Zio and Pacinelli [15], "the classical Delphi provides the first and third quartile calculation to define a range containing 50% of the evaluations of the panel (in the case of frequency distribution, the interquartile range includes 50% of the values of the distribution)". Also, because it is a real time application, as the survey is being answered or modified, the circumference usually changes its size too, with the understanding that the smaller the size of the circle, the higher the degree of spatial consensus (geo-consensus), and vice versa.…”

Section: Methodsmentioning

confidence: 99%

“…This application, named Geospatial System of Collective Intelligence (SIGIC after its acronym in Spanish), was used to allow a panel of experts to provide their opinions in an anonymous, distributed, and asynchronous real-time way to answer a spatial survey, in which each question requires an answer or specific opinion reflected in a map with given limits. Just as it is done in other types of surveys, and by assuming an isotropy in a bi-dimensional space [15], such limits are represented by the shape of a circle with a different color for each question in the survey. Note that the questions are not "classical" questions like in any classical questionnaire.…”

Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

“…A prototype of a WEB Group Spatial Decision Support System (Web-GSDSS) application was developed (Figure 1), to which a function was added to automate the spatial version of the Delphi method [15,16], in combination with the Delphi method in real-time [17][18][19][20] and the Vector Consensus. Initial patterns in the data may be revealed through simple density analysis [25] Data quality: create spatial representations on a map using a familiar airbrush-style interface Model [7] was followed in order to create the Real-Time Spatial Delphi method [26].…”

Section: Literature Reviewmentioning

confidence: 99%

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Collection and Integration of Local Knowledge and Experience through a Collective Spatial Analysis

Castillo-Rosas

Diez-Rodríguez

Jiménez-Vélez

et al. 2017

IJGI

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This article discusses the convenience of adopting an approach of Collective Spatial Analysis in the P/PGIS processes, with the aim of improving the collection and integration of knowledge and local expertise in decision-making, mainly in the fields of planning and adopting territorial policies. Based on empirical evidence, as a result of the review of scientific articles from the Web of Science database, in which it is displayed how the knowledge and experience of people involved in decision-making supported by P/PGIS are collected and used, a prototype of a WEB-GSDSS application has been developed. This prototype allows a group of people to participate anonymously, in an asynchronous and distributed way, in a decision-making process to locate goods, services, or events through the convergence of their views. Via this application, two case studies for planning services in districts of Ecuador and Italy were carried out. Early results suggest that in P/PGIS local and external actors contribute their knowledge and experience to generate information that afterwards is integrated and analysed in the decision-making process. On the other hand, in a Collective Spatial Analysis, these actors analyse and generate information in conjunction with their knowledge and experience during the process of decision-making. We conclude that, although the Collective Spatial Analysis approach presented is in a subjective and initial stage, it does drive improvements in the collection and integration of knowledge and local experience, foremost among them is an interdisciplinary geo-consensus.

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