{"title":"基于意见汇集的参与式设计。","authors":"Michael Batty, Tianqu Shao, Fulvio D Lopane","doi":"10.1098/rsta.2024.0108","DOIUrl":null,"url":null,"abstract":"<p><p>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'.</p>","PeriodicalId":19879,"journal":{"name":"Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences","volume":"382 2285","pages":"20240108"},"PeriodicalIF":4.3000,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11558240/pdf/","citationCount":"0","resultStr":"{\"title\":\"Participatory design based on opinion pooling.\",\"authors\":\"Michael Batty, Tianqu Shao, Fulvio D Lopane\",\"doi\":\"10.1098/rsta.2024.0108\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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'.</p>\",\"PeriodicalId\":19879,\"journal\":{\"name\":\"Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences\",\"volume\":\"382 2285\",\"pages\":\"20240108\"},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-12-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11558240/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1098/rsta.2024.0108\",\"RegionNum\":3,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/11/13 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1098/rsta.2024.0108","RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/11/13 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
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'.
期刊介绍:
Continuing its long history of influential scientific publishing, Philosophical Transactions A publishes high-quality theme issues on topics of current importance and general interest within the physical, mathematical and engineering sciences, guest-edited by leading authorities and comprising new research, reviews and opinions from prominent researchers.