Unravel the spatio-temporal patterns and their nonlinear relationship with correlates of dockless shared bikes near metro stations

Zhaomin Tonga School of Resource and Environmental Science, Wuhan University, Wuhan, ChinaView further author information

Yi Zhub Natural Resources Investigation and Monitoring Section, Chengdu Land Planning and Cadastral Affairs Center, Chengdu, ChinaView further author information

Ziyi Zhangc Faculty of Geomatics, East China University of Technology, Nanchang, ChinaView further author information

Rui Ana School of Resource and Environmental Science, Wuhan University, Wuhan, ChinaView further author information

Yaolin Liua School of Resource and Environmental Science, Wuhan University, Wuhan, ChinaCorrespondence[email protected]

https://orcid.org/0000-0002-4619-5099 View further author information

Meng Zhengd Traffic Simulation Center, Wuhan Transportation Development Strategy Institute, Wuhan, ChinaView further author information

Citations (3)

Keep up to date with the latest research on this topic with citation updates for this article.

Unravel the spatio-temporal patterns and their nonlinear relationship with correlates of dockless shared bikes near metro stations

Articles from other publishers (3)

Information for

Open access

Opportunities

Help and information

Your download is now in progress and you may close this window

Login or register to access this feature

Unravel the spatio-temporal patterns and their nonlinear relationship with correlates of dockless shared bikes near metro stations

Citations (3)

Articles from other publishers (3)

Related research

To cite this article:

Download citation

Information for

Open access

Opportunities

Help and information

Keep up to date