Adriano Bressane , Anna Isabel Silva Loureiro , Líliam César de Castro Medeiros , Rodrigo Moruzzi , Jorge Kennety Silva Formiga , Rogério Galante Negri , Antônio Carlos Varela Saraiva
{"title":"巴西首个智能可持续城市中基于自然的智能解决方案:洞察力与经验教训","authors":"Adriano Bressane , Anna Isabel Silva Loureiro , Líliam César de Castro Medeiros , Rodrigo Moruzzi , Jorge Kennety Silva Formiga , Rogério Galante Negri , Antônio Carlos Varela Saraiva","doi":"10.1016/j.nbsj.2024.100161","DOIUrl":null,"url":null,"abstract":"<div><p>As urbanization intensifies worldwide, the need for sustainable urban development becomes increasingly critical. This study introduces a novel approach, the Intelligent Nature-based Solutions (INbS), which encompasses the integration of nature-based approaches with intelligent systems. Drawing upon empirical context within the framework of the 1st Smart Sustainable Brazilian City, we engage in a perspective on the insights gained and lessons learned, offering strategic recommendations for guiding future INbS initiatives. It underscores the paramount significance of interdisciplinary collaboration, stakeholder engagement, and adaptive management strategies for the seamless amalgamation of these two domains, the technology and ecology. The study also probes into emerging challenges like the need for scalable, replicable models, ethical issues in data-driven decision-making, and the long-term effectiveness of INbS. By delving into these intricacies, this research seeks to contribute to a more profound comprehension of the potential and limitations inherent in the INbS within urban settings, particularly in emerging economies like Brazil.</p></div>","PeriodicalId":100945,"journal":{"name":"Nature-Based Solutions","volume":"6 ","pages":"Article 100161"},"PeriodicalIF":0.0000,"publicationDate":"2024-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2772411524000521/pdfft?md5=b88ec98721d2a3fa2cc6df7363811edc&pid=1-s2.0-S2772411524000521-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Intelligent nature-based solutions in the 1st smart sustainable Brazilian City: Insights and lessons learned\",\"authors\":\"Adriano Bressane , Anna Isabel Silva Loureiro , Líliam César de Castro Medeiros , Rodrigo Moruzzi , Jorge Kennety Silva Formiga , Rogério Galante Negri , Antônio Carlos Varela Saraiva\",\"doi\":\"10.1016/j.nbsj.2024.100161\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>As urbanization intensifies worldwide, the need for sustainable urban development becomes increasingly critical. This study introduces a novel approach, the Intelligent Nature-based Solutions (INbS), which encompasses the integration of nature-based approaches with intelligent systems. Drawing upon empirical context within the framework of the 1st Smart Sustainable Brazilian City, we engage in a perspective on the insights gained and lessons learned, offering strategic recommendations for guiding future INbS initiatives. It underscores the paramount significance of interdisciplinary collaboration, stakeholder engagement, and adaptive management strategies for the seamless amalgamation of these two domains, the technology and ecology. The study also probes into emerging challenges like the need for scalable, replicable models, ethical issues in data-driven decision-making, and the long-term effectiveness of INbS. By delving into these intricacies, this research seeks to contribute to a more profound comprehension of the potential and limitations inherent in the INbS within urban settings, particularly in emerging economies like Brazil.</p></div>\",\"PeriodicalId\":100945,\"journal\":{\"name\":\"Nature-Based Solutions\",\"volume\":\"6 \",\"pages\":\"Article 100161\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2772411524000521/pdfft?md5=b88ec98721d2a3fa2cc6df7363811edc&pid=1-s2.0-S2772411524000521-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature-Based Solutions\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2772411524000521\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature-Based Solutions","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2772411524000521","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Intelligent nature-based solutions in the 1st smart sustainable Brazilian City: Insights and lessons learned
As urbanization intensifies worldwide, the need for sustainable urban development becomes increasingly critical. This study introduces a novel approach, the Intelligent Nature-based Solutions (INbS), which encompasses the integration of nature-based approaches with intelligent systems. Drawing upon empirical context within the framework of the 1st Smart Sustainable Brazilian City, we engage in a perspective on the insights gained and lessons learned, offering strategic recommendations for guiding future INbS initiatives. It underscores the paramount significance of interdisciplinary collaboration, stakeholder engagement, and adaptive management strategies for the seamless amalgamation of these two domains, the technology and ecology. The study also probes into emerging challenges like the need for scalable, replicable models, ethical issues in data-driven decision-making, and the long-term effectiveness of INbS. By delving into these intricacies, this research seeks to contribute to a more profound comprehension of the potential and limitations inherent in the INbS within urban settings, particularly in emerging economies like Brazil.