Year: 2024
Type: article
Abstract: In order to optimize the rental patterns of public bicycles and the allocation plan, the temporal and spatial movement laws of public bicycles should be obtained. Propose a distribution model and time trend model for public bicycles at different time points and rental locations. Take New York city as an example, based on the public bicycle travel data in New York City, a reference plan for the allocation of rental points was proposed using the moving average time model, kernel density method, and decision tree regression model.
DOI: 10.54097/dnb6q122
Author: Guanbo Wang
Institution: Tianjin University of Technology and Education
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4405808667
