{"title":"用人工智能分析美国城市分区改革","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":"{\"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}","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}
Using artificial intelligence to analyze zoning reform in American cities
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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