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Citizen engagement body of knowledge – A fuzzy decision maker for index-term selection in built environment projects
Cities ( IF 6.0 ) Pub Date : 2021-02-24 , DOI: 10.1016/j.cities.2021.103137
Farzaneh Zarei , Mazdak Nik-Bakht

Contribution of citizens is a key factor in the success of urban development projects and the cornerstone of smart cities in general. The domain researchers have attempted to understand the attributes of a meaningful and effective collaboration with citizens and improve the quality of engagement accordingly. With this aim, a rich and extensive literature has been created, covering different aspects of citizen engagement. The subjective-ness and context-sensitivity of involved issues, however, do not allow for a ‘universal’ standard solution to be proposed, even to a similar problem, in different spatiotemporal contexts. In this paper, after an extensive analysis of a broadly inclusive range of existing literature through more than 1092 publications, a conceptual framework is proposed to contextualize citizen engagement in urban projects. Using this framework, a model is trained, with the aid of the fuzzy paradigm to provide fuzzy sets of most relevant keywords for a query regarding citizen engagement in urban projects, and a decision support system is developed to retrieve the most relevant publications, based on the fuzzy inference mechanism. The system provides the most relevant keywords for reviewing the literature, as well as the most related documents, through answering a set of simple questions. The solution is deployed through a user interface, linked to the well-known Elsevier online database Scopus. The developed system can assist researchers and practitioners with retrieving knowledge from the literature, for setting up new projects.



中文翻译:

公民参与知识体系–建筑环境项目中的指标项选择的模糊决策者

公民的贡献是城市发展项目成功的关键因素,也是整个智慧城市的基石。领域研究人员试图了解与公民进行有意义和有效合作的属性,并相应地提高参与质量。为了这个目标,已经创建了丰富而广泛的文献,涵盖了公民参与的各个方面。但是,所涉及问题的主观性和上下文敏感性不允许在不同的时空上下文中提出“通用”标准解决方案,即使对于类似问题也是如此。在本文中,在通过1092多种出版物对广泛涵盖的现有文献进行了广泛分析之后,提出了一个概念框架,用于将公民参与城市项目的环境进行关联。使用该框架,可以在模糊范式的帮助下对模型进行训练,以提供最相关的关键字的模糊集,以查询有关城市项目中市民参与度的查询,并且开发了决策支持系统来检索最相关的出版物。模糊推理机制。该系统通过回答一组简单的问题,提供了用于审查文献的最相关的关键字以及最相关的文档。该解决方案通过链接到著名的Elsevier在线数据库Scopus的用户界面进行部署。开发的系统可以帮助研究人员和从业人员从文献中检索知识,以建立新的项目。借助于模糊范式,为与公民参与城市项目有关的查询提供最相关关键字的模糊集,并基于模糊推理机制开发了决策支持系统来检索最相关的出版物。该系统通过回答一组简单的问题,提供了用于审查文献的最相关的关键字以及最相关的文档。该解决方案通过链接到著名的Elsevier在线数据库Scopus的用户界面进行部署。开发的系统可以帮助研究人员和从业人员从文献中检索知识,以建立新的项目。借助于模糊范式,为与公民参与城市项目有关的查询提供最相关关键字的模糊集,并基于模糊推理机制开发了决策支持系统来检索最相关的出版物。该系统通过回答一组简单的问题,提供了用于审查文献的最相关的关键字以及最相关的文档。该解决方案通过用户界面进行部署,该用户界面链接到著名的Elsevier在线数据库Scopus。开发的系统可以帮助研究人员和从业人员从文献中检索知识,以建立新的项目。该系统通过回答一组简单的问题,提供了用于审查文献的最相关的关键字以及最相关的文档。该解决方案通过链接到著名的Elsevier在线数据库Scopus的用户界面进行部署。开发的系统可以帮助研究人员和从业人员从文献中检索知识,以建立新的项目。该系统通过回答一组简单的问题,提供了用于审查文献的最相关的关键字以及最相关的文档。该解决方案通过用户界面进行部署,该用户界面链接到著名的Elsevier在线数据库Scopus。开发的系统可以帮助研究人员和从业人员从文献中检索知识,以建立新的项目。

更新日期:2021-02-24
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