Year: 2025
Type: article
Abstract: This article explores the impact of weather and environment on shared bicycles. Using a random forest model combined with explanatory machine learning methods, the relationship, threshold effect, and interaction effect between weather factors and the transfer volume of shared bicycles at subway stations are analyzed; Based on the spatial Durbin model, analyze the relationship between the transfer volume of shared bicycles and factors such as the built environment. Research has shown that there is a significant non-linear relationship between various weather factors and the transfer volume of shared bicycles; Temperature, humidity, and rainfall have specific activation and threshold effects on the number of shared bicycle transfers. Population statistics, socio-economic factors, building environment, road environment and other characteristic variables have a significant impact on the shared bicycle transfer volume in each study area and adjacent study areas under adverse weather conditions, indicating that factors such as built environment have a spatial spillover effect on the shared bicycle transfer volume.
Source: Applied Sciences
DOI: 10.3390/app15179834
Authors: Peng Liu, Zhicheng Pan, Zhenlong Fan, Xiaoxia Wang
Language: English
Subfield: Transportation
Field: Social Sciences
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,896
OpenAlex ID: W4414094311