Work

Automating urban policy extraction: A large language model-based framework for extracting local heat policies from planning documents

Year: 2025

Type: article

Source: Environment and Planning B Urban Analytics and City Science

DOI: 10.1177/23998083251382381

Authors: Zeyun Deng, Xinyu Fu, Chaosu Li

Institutions: The Hong Kong University of Science and Technology (Guangzhou), Texas A&M University

Language: English

Topic: Computational and Text Analysis Methods

Subfield: General Social Sciences

Field: Social Sciences

Domain: Social Sciences

SDG: Sustainable cities and communities

Open Access status: closed

Funders: National Natural Science Foundation of China, Basic and Applied Basic Research Foundation of Guangdong Province

Awards: G3866838828, G5245906306

OpenAlex ID: W4414464859

FWCI: 2.93

Cites: 52

Cited by: 2

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