{"title":"Using artificial intelligence to analyze zoning reform in American cities","authors":"","doi":"10.1038/s44284-025-00218-w","DOIUrl":null,"url":null,"abstract":"We used natural language processing to analyze thousands of zoning documents and investigate the effect of form-based codes (a type of zoning reform) on urban sustainability. Form-based codes are widespread and contribute to improved walkability, shorter commutes and a higher share of multifamily housing.","PeriodicalId":501700,"journal":{"name":"Nature Cities","volume":"2 4","pages":"279-280"},"PeriodicalIF":0.0000,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Cities","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44284-025-00218-w","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
We used natural language processing to analyze thousands of zoning documents and investigate the effect of form-based codes (a type of zoning reform) on urban sustainability. Form-based codes are widespread and contribute to improved walkability, shorter commutes and a higher share of multifamily housing.
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