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The evolving landscape of cities faces paradigm shifts driven by the increasing concern for sustainability. In this context, collaborative mappingCollaborative mapping using Generative Artificial IntelligenceArtificial Intelligence (AI) (Gen-AI) focusing on citizens for sustainable and resilient developmentResilient development plays a crucial role, emerging as a revolutionary method to enhance sustainable performance analyses. This study explores the influence of Gen-AI in the implementation ofCollaborative sustainability collaborative mappingCollaborative mapping with citizens, aiming to fill the existing gap in understanding the impacts of this technology on the transparency and reliability of information related to the sustainability of territories. The methodology was exploratory, using bibliographic and documentary research with qualitative and quantitative data for systematic analysis, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). VOSviewer software was utilized to review publications and bibliometric analyses. Sustainable developmentSustainable development, artificial intelligenceArtificial Intelligence (AI), smart cities, and sustainable citiesSustainable cities served as foundational data search and analysis parameters. The results indicate that citizen participation supported by artificial intelligenceArtificial Intelligence (AI) can generate beneficial effects for reinforcing best sustainable practices favoring territorial development, aligning with the 2030 Agenda and the United Nations Sustainable DevelopmentSustainable development Goals (SDGs).

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Smart Cities, People at the Center: A Collaborative Mapping with AI for a Sustainable Future

  • 章节

  • 发表日期：

    2025年

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  • Bruno Santos Cezario,
  • Otacilio José Moreira,
  • Oswaldo Borges Peres,
  • Patricia Bilotta,
  • Carlos Alberto Pereira Soares,
  • André Luis Azevedo Guedes

摘要

The evolving landscape of cities faces paradigm shifts driven by the increasing concern for sustainability. In this context, collaborative mappingCollaborative mapping using Generative Artificial IntelligenceArtificial Intelligence (AI) (Gen-AI) focusing on citizens for sustainable and resilient developmentResilient development plays a crucial role, emerging as a revolutionary method to enhance sustainable performance analyses. This study explores the influence of Gen-AI in the implementation ofCollaborative sustainability collaborative mappingCollaborative mapping with citizens, aiming to fill the existing gap in understanding the impacts of this technology on the transparency and reliability of information related to the sustainability of territories. The methodology was exploratory, using bibliographic and documentary research with qualitative and quantitative data for systematic analysis, following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). VOSviewer software was utilized to review publications and bibliometric analyses. Sustainable developmentSustainable development, artificial intelligenceArtificial Intelligence (AI), smart cities, and sustainable citiesSustainable cities served as foundational data search and analysis parameters. The results indicate that citizen participation supported by artificial intelligenceArtificial Intelligence (AI) can generate beneficial effects for reinforcing best sustainable practices favoring territorial development, aligning with the 2030 Agenda and the United Nations Sustainable DevelopmentSustainable development Goals (SDGs).