Economic development, demographic characteristics, road network and traffic accidents in Zhongshan, China: gradient boosting decision tree model

Wu, W, Jiang, S, Liu, R orcid.org/0000-0003-0627-3184 et al. (2 more authors) (2020) Economic development, demographic characteristics, road network and traffic accidents in Zhongshan, China: gradient boosting decision tree model. Transportmetica A: Transport Science, 16 (3). ISSN 2324-9935

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2020 Hong Kong Society for Transportation Studies Limited. This is an author produced version of an article published in Transportmetrica A: Transport Science. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Traffic accidents; socio-economic; demographics; relative importance
Dates:
  • Accepted: 17 August 2019
  • Published (online): 4 January 2020
  • Published: 26 January 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 11 Sep 2019 12:45
Last Modified: 04 Jan 2021 01:38
Status: Published
Publisher: Taylor & Francis
Identification Number: https://doi.org/10.1080/23249935.2020.1711543

Export

Statistics