Exploring the Effects of Building Environments on the Use of Bike Sharing: Case Study of Shenzhen, China

Ding LIU, Kun-peng ZHANG, Bing-lei XIE

Abstract


In this paper, the effects of built environments on the use of sharing bikes were investigated, based on the weekend and weekend data of sharing bikes at street level in Shenzhen, China. The explanatory variables of built environments included: population, population density, area of each street, number of bus stops, density of bus stops, number of metro stations, road length, density of road length, and areas of various land use. The dependent variables included weekend demand of sharing bikes, weekend demand of sharing bikes, weekend peak-hour demand of sharing bikes, and weekend peak-hour demand of sharing bikes. It was found that the sharing bikes were mainly used as the accessibility and feeder tools for metro service. The weekend and weekend peak-hour demand are significantly influenced by industrial area.

Keywords


Sharing Bikes, Built Environments, Multiple Linear Regression Analysis, Public Bikes, Shenzhen


DOI
10.12783/dteees/icepe2019/28927

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