{"title":"用人工智能增强情景规划能力:建设智能型和抗灾型城市的视角","authors":"Haiyan Hao , Yan Wang , Jiayu Chen","doi":"10.1016/j.eng.2024.06.012","DOIUrl":null,"url":null,"abstract":"<div><div>Scenario planning is a powerful tool for cities to navigate uncertainties and mitigate the impacts of adverse scenarios by projecting future outcomes based on present-day decisions. This approach is becoming increasingly important given the growing call for building resilient cities to face adverse future scenarios posed by emerging disruptive technologies and climate change. However, conventional scenario planning practices predominantly rely on expert knowledge and judgment, which may be limited in accounting for the complexity of future scenarios. Therefore, we explored the potential integration of artificial intelligence (AI) techniques to assist scenario planning practices. We synthesized related studies from various disciplines (e.g., engineering, computer science, and urban planning) to identify the potential applications of AI in the three key components of scenario planning: plan generation, scenario generation, and plan evaluation. We then discuss the challenges and possible solutions for integrating AI into the scenario planning process and highlight the critical role of planning experts in this process. We conclude by outlining future research opportunities in this context. Ultimately, this study contributes to the advancement of scenario planning practices and aids the creation of more resilient cities that can thrive in an uncertain future.</div></div>","PeriodicalId":11783,"journal":{"name":"Engineering","volume":"43 ","pages":"Pages 272-283"},"PeriodicalIF":10.1000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Empowering Scenario Planning with Artificial Intelligence: A Perspective on Building Smart and Resilient Cities\",\"authors\":\"Haiyan Hao , Yan Wang , Jiayu Chen\",\"doi\":\"10.1016/j.eng.2024.06.012\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Scenario planning is a powerful tool for cities to navigate uncertainties and mitigate the impacts of adverse scenarios by projecting future outcomes based on present-day decisions. This approach is becoming increasingly important given the growing call for building resilient cities to face adverse future scenarios posed by emerging disruptive technologies and climate change. However, conventional scenario planning practices predominantly rely on expert knowledge and judgment, which may be limited in accounting for the complexity of future scenarios. Therefore, we explored the potential integration of artificial intelligence (AI) techniques to assist scenario planning practices. We synthesized related studies from various disciplines (e.g., engineering, computer science, and urban planning) to identify the potential applications of AI in the three key components of scenario planning: plan generation, scenario generation, and plan evaluation. We then discuss the challenges and possible solutions for integrating AI into the scenario planning process and highlight the critical role of planning experts in this process. We conclude by outlining future research opportunities in this context. Ultimately, this study contributes to the advancement of scenario planning practices and aids the creation of more resilient cities that can thrive in an uncertain future.</div></div>\",\"PeriodicalId\":11783,\"journal\":{\"name\":\"Engineering\",\"volume\":\"43 \",\"pages\":\"Pages 272-283\"},\"PeriodicalIF\":10.1000,\"publicationDate\":\"2024-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Engineering\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2095809924003813\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2095809924003813","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
Empowering Scenario Planning with Artificial Intelligence: A Perspective on Building Smart and Resilient Cities
Scenario planning is a powerful tool for cities to navigate uncertainties and mitigate the impacts of adverse scenarios by projecting future outcomes based on present-day decisions. This approach is becoming increasingly important given the growing call for building resilient cities to face adverse future scenarios posed by emerging disruptive technologies and climate change. However, conventional scenario planning practices predominantly rely on expert knowledge and judgment, which may be limited in accounting for the complexity of future scenarios. Therefore, we explored the potential integration of artificial intelligence (AI) techniques to assist scenario planning practices. We synthesized related studies from various disciplines (e.g., engineering, computer science, and urban planning) to identify the potential applications of AI in the three key components of scenario planning: plan generation, scenario generation, and plan evaluation. We then discuss the challenges and possible solutions for integrating AI into the scenario planning process and highlight the critical role of planning experts in this process. We conclude by outlining future research opportunities in this context. Ultimately, this study contributes to the advancement of scenario planning practices and aids the creation of more resilient cities that can thrive in an uncertain future.
期刊介绍:
Engineering, an international open-access journal initiated by the Chinese Academy of Engineering (CAE) in 2015, serves as a distinguished platform for disseminating cutting-edge advancements in engineering R&D, sharing major research outputs, and highlighting key achievements worldwide. The journal's objectives encompass reporting progress in engineering science, fostering discussions on hot topics, addressing areas of interest, challenges, and prospects in engineering development, while considering human and environmental well-being and ethics in engineering. It aims to inspire breakthroughs and innovations with profound economic and social significance, propelling them to advanced international standards and transforming them into a new productive force. Ultimately, this endeavor seeks to bring about positive changes globally, benefit humanity, and shape a new future.