Impact Analysis of Weather Condition and Locational Characteristics on the Usage of Public Bike Sharing System

Abstract

This study aims to study the impact of weather conditions and locational characteristics of bike stations on the usage of public bike sharing system for efficient deployment and operation of public bike systems. Linear regression analysis is used to estimate the usage of public bikes of Goyang city. The statistical analysis shows that the usage rate increases with average temperature and decreases under high wind (over 7m/s) or high temperature (over 29°) condition. The usage rate of public bike sharing system can be differentiated by locational characteristics of bike station such as residential area, commercial area, park, school, and metro station. The usage rate increases in park and commercial areas from 10 AM to 3 PM, while it increases in school areas from 3 PM to 5 PM. Public bikes are highly used near the metro station from 5 PM to 8 PM. The stations in parks are highly used in late night, and the usage rate in CBD area increases after the midnight.

Analysis of Factors Affecting the Extra Journey Time of Public Bicycles

“…They found that the bicycle usage rate was high in cities with mild winter weather but not much precipitation, and the usage rate decreased in very hot or humid cities. Similarly, Lee et al [15] analyzed the weather conditions affecting public bicycle usage in Goyang. They found that the public bicycle usage rate decreased when the precipitation, temperature, and wind speed were at least 10 mm, 29 • C, and 7 m/s, respectively.…”

Derivation of accident reduction measures through analysis of bicycle accident occurrences : Centering on Gyeonggi-do Province

“…In addition, the introduction of public bicycles is increasing in many local governments due to successful operation and increased bicycle use [4].…”