Local or Neighborhood? Examining the Relationship between Traffic Accidents and Land Use Using a Gradient Boosting Machine Learning Method: The Case of Suzhou Industrial Park, China: The Case of Suzhou Industrial Park, China

Yueming Yang, Hyung-Chul Chung*, Joon Sik Kim

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Fingerprint

Dive into the research topics of 'Local or Neighborhood? Examining the Relationship between Traffic Accidents and Land Use Using a Gradient Boosting Machine Learning Method: The Case of Suzhou Industrial Park, China: The Case of Suzhou Industrial Park, China'. Together they form a unique fingerprint.

Social Sciences

Economics, Econometrics and Finance