Work

CGNet-PIE: A causal generative approach for urban planning intervention effect estimation

Year: 2025

Type: article

Source: Transactions in Urban Data Science and Technology

DOI: 10.1177/27541231251318348

Authors: Zhou Fang, Qianmu Zheng, Shuwen Zheng, Liang Zhao

Institution: Tsinghua University

Language: English

Topic: Advanced Causal Inference Techniques

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: closed

Funders: National Natural Science Foundation of China, China Postdoctoral Science Foundation

Awards: G4055448707, G4739362143

OpenAlex ID: W4408146941

FWCI:

Cites: 39

Cited by:

Related to: 10