Forecasting urban travel demand with geo-AI: a combination of GIS and machine learning techniques utilizing uber data in New York City
Crossref DOI link: https://doi.org/10.1007/s12665-024-11900-y
Published Online: 2024-10-14
Published Print: 2024-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Haery, Sana
Mahpour, Alireza
Vafaeinejad, Alireza
Text and Data Mining valid from 2024-10-01
Version of Record valid from 2024-10-01
Article History
Received: 9 September 2024
Accepted: 3 October 2024
First Online: 14 October 2024
Declarations
:
: The authors declare no competing interests.