Research on influencing factors of shared bicycle travel demand:taking Shanghai as an example
Studying the impact mechanism of shared bicycle travel can help optimize the user experience,improve travel efficiency,reduce traffic congestion,and promote the healthy development of the shared bicycle industry.This study addresses the issue of the influencing mechanism of shared bicycle travel demand and builds OLS(ordinary least squares)and GWR(geographically weighted regression)regression models using multi-source data on shared bicycle travel and road traffic in Shanghai,selecting relevant variables from road traffic infrastructure,public transportation,and land use to establish the relationship between shared bicycle travel demand and influencing factors.The results show that the GWR(geographically weighted regression)model has a better fit than the OLS(ordinary least squares)model;in terms of variable impact,the higher the metro station density,the greater the promotion of shared bicycle travel demand,followed by the densities of major arterial roads and secondary arterial roads;while the densities of accommodation services,company enterprises,bus stops,educational and cultural facilities,and secondary roads have a positive correlation with shared bicycle travel demand but no significant positive impact.The research results can provide reference for enterprises to layout and operate shared bicycles.
万方数据
维普
