A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Investigating relationships between ridesourcing and public transit using big data analysis and nonlinear machine learning: A case study of Shanghai, China
https://orcid.org/0000-0002-4630-2720
https://orcid.org/0000-0002-0919-402X
https://orcid.org/0000-0001-5120-2866
Investigating relationships between ridesourcing and public transit using big data analysis and nonlinear machine learning: A case study of Shanghai, China
https://orcid.org/0000-0002-4630-2720
https://orcid.org/0000-0002-0919-402X
https://orcid.org/0000-0001-5120-2866
Investigating relationships between ridesourcing and public transit using big data analysis and nonlinear machine learning: A case study of Shanghai, China
https://orcid.org/0000-0002-4630-2720
https://orcid.org/0000-0002-0919-402X
https://orcid.org/0000-0001-5120-2866
Investigating relationships between ridesourcing and public transit using big data analysis and nonlinear machine learning: A case study of Shanghai, China
Transportation Research Part A: Policy and Practice
Liu, Xinghua (author) / Ye, Qian (author) / Li, Ye (author) / Yang, Kaidi (author) / Shao, Xuan (author)
Transportation Research Part A: Policy and Practice ; 192 ; 104339
2025-02-01
Article (Journal)
Electronic Resource
English
Understanding factors that impact ridesourcing service usage frequency: a case study in Shanghai
| Taylor & Francis Verlag | 2023
Machine learning approach for spatial modeling of ridesourcing demand
| Elsevier | 2022