Bike-Sharing Travel Demand Forecasting via Travel Environment-Based Modeling

This research aims to address the limited consideration given to non-motorized transport facilities in current studies on shared bike travel demand forecasting. This study is the first to propose a method that applies complete citywide non-motorized facility data to predict bike-sharing demand. This...

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Bibliographic Details

Main Authors:	Zihao Wang, Qi Zhao, Li Wang, Weijie Xiu, Yuting Wang
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2024-08-01
Series:	Applied Sciences
Subjects:	bike-sharing trip demand non-motorized transport facilities multiscale geographically weighted regression model
Online Access:	https://www.mdpi.com/2076-3417/14/16/6864
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