{"title":"The Pathway of Urban Planning AI: From Planning Support to Plan-Making","authors":"Z. Peng, Kai-Fa Lu, Yanghe Liu, Wei Zhai","doi":"10.1177/0739456x231180568","DOIUrl":null,"url":null,"abstract":"Artificial intelligence (AI) is rapidly gaining prominence as a crucial technology to transform and reshape the field of urban planning. However, several unanswered questions persist regarding the potential impacts of AI on urban and regional planning research and practice, as well as the issues involved and the appropriate responses and plans. This paper aims to address these concerns in the AI-enabled planning process and accordingly create a typology of urban planning AI to categorize and outline the progression of AI in urban planning, ranging from AI-assisted and AI-augmented planning to AI-automated and eventually AI-autonomized planning, based on a scoping literature review.","PeriodicalId":16793,"journal":{"name":"Journal of Planning Education and Research","volume":" ","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2023-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Planning Education and Research","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1177/0739456x231180568","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"REGIONAL & URBAN PLANNING","Score":null,"Total":0}
引用次数: 2
Abstract
Artificial intelligence (AI) is rapidly gaining prominence as a crucial technology to transform and reshape the field of urban planning. However, several unanswered questions persist regarding the potential impacts of AI on urban and regional planning research and practice, as well as the issues involved and the appropriate responses and plans. This paper aims to address these concerns in the AI-enabled planning process and accordingly create a typology of urban planning AI to categorize and outline the progression of AI in urban planning, ranging from AI-assisted and AI-augmented planning to AI-automated and eventually AI-autonomized planning, based on a scoping literature review.
期刊介绍：
The Journal of Planning Education and Research (JPER) is a forum for planning educators and scholars (from both academia and practice) to present results from teaching and research that advance the profession and improve planning practice. JPER is the official journal of the Association of Collegiate Schools of Planning (ACSP) and the journal of record for North American planning scholarship. Aimed at scholars and educators in urban and regional planning, political science, policy analysis, urban geography, economics, and sociology, JPER presents the most vital contemporary trends and issues in planning theory, practice, and pedagogy.
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