Participatory design based on opinion pooling

We focus here on methods for locating future urban development, ranging from entire towns to site designs. These methods articulate the urban design problem in terms of a series of factors pertaining to different measures of land suitability that are represented as spatial surfaces or maps. In realistic problems, these factors inevitably conflict with one another, and we thus define various design methods that enable us to select optimal locations for development based on weighting these factors in different ways. We begin with methods for resolving conflicts between the suitability maps using simple averaging with equal weights and then introduce methods for representing the interactions between the factors as a hierarchy for how these factors can be related to each other following an order for their differential weighting. We then generalize this method to ways in which a variety of individual experts can pool their knowledge of the problem to achieve a consensus solution using a process of group dynamics. The implication is that these kinds of dynamics might be used to enable effective public participation where conflicts between opinions can be resolved collectively. We are currently exploring this through methods of geodesign where networks of stakeholders, planners and designers can be brought together to solve these problems both empirically as well as formally.This article is part of the theme issue 'Co-creating the future: participatory cities and digital governance'.

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Institutions

Publication Details

Journal
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
Published
2024-11-13
DOI
https://doi.org/10.1098/rsta.2024.0108
Citations
2
Primary Topic
Opinion Dynamics and Social Influence
Type
article
Field-Weighted Citation Impact
0.56

Funders

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article

Participatory design based on opinion pooling

Michael Batty, Tianqu Shao, Fulvio D. Lopane
2 citations
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences
Opinion Dynamics and Social Influence
0.56
article

Participatory design based on opinion pooling

Michael Batty, Tianqu Shao, Fulvio D. Lopane
article en
2 citations

Abstract

We focus here on methods for locating future urban development, ranging from entire towns to site designs. These methods articulate the urban design problem in terms of a series of factors pertaining to different measures of land suitability that are represented as spatial surfaces or maps. In realistic problems, these factors inevitably conflict with one another, and we thus define various design methods that enable us to select optimal locations for development based on weighting these factors in different ways. We begin with methods for resolving conflicts between the suitability maps using simple averaging with equal weights and then introduce methods for representing the interactions between the factors as a hierarchy for how these factors can be related to each other following an order for their differential weighting. We then generalize this method to ways in which a variety of individual experts can pool their knowledge of the problem to achieve a consensus solution using a process of group dynamics. The implication is that these kinds of dynamics might be used to enable effective public participation where conflicts between opinions can be resolved collectively. We are currently exploring this through methods of geodesign where networks of stakeholders, planners and designers can be brought together to solve these problems both empirically as well as formally.This article is part of the theme issue 'Co-creating the future: participatory cities and digital governance'.

Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering SciencesVol. 382(2285)
University College London (GB)
Alan Turing Institute
Sustainable cities and communities
Openalex Percentile: Top 34%
Opinion Dynamics and Social Influence
0.56
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Participatory design based on opinion pooling — Michael Batty, Tianqu Shao, et al. · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences (2024) | TGRS Research Map | TGRS