Abstract
The study of urban shared bike travel characteristics is the premise of sustainable development of shared bike. In this paper, using the form of a questionnaire, the citizens of Fucheng District of Mianyang City were investigated and obtained 98 Valid data. Analysis of travel characteristics is based on survey data, and studies the factors affecting the use of shared bicycles, combined with the establishment of travel behavior theory Logit model, with the aid of SPSS Calculate with software. The results showed that women were more likely to choose shared bike trips than men; those who chose shared bikes tended to be younger; those who shared bikes were more favored by students and office workers; those with higher education levels were more likely to choose shared bike trips; and those with higher education levels were the most significantly affected.
Highlights
As one of the “new four great inventions” in China, shared bicycle has aroused extensive attention of many scholars at home and abroad (Wei, Mo, & Liu, 2018)
Analysis of travel characteristics is based on survey data, and studies the factors affecting the use of shared bicycles, combined with the establishment of travel behavior theory Logit model, with the aid of SPSS Calculate with software
As a short-distance travel tool, sharing bicycle is mainly used for commuting, entertainment and shopping, and riding hot spots are concentrated in residential and commercial areas, while residents expect to share bicycle in residential and commercial areas, which is consistent with the analysis results of riding hot spots
Summary
As one of the “new four great inventions” in China, shared bicycle has aroused extensive attention of many scholars at home and abroad (Wei, Mo, & Liu, 2018). G. Hou problem of shared bicycle, analyzes the factors affecting the demand of shared bicycle, and proposes an optimal scheduling scheme based on multi-objective programming (Yu, 2018). Based on the analytic hierarchy process (AHP), this paper studies the influence and development of shared bicycle and shared car on urban traffic (Wang, 2019). Based on the historical data of Zhongshan public bicycle system, the influence of scenic spots on travel demand and the ratio of site demand to supply are studied by using multiple linear regression model (Zhou, Wang, Zhong, et al, 2018). This paper will study the characteristics of shared bicycle travel from the perspective of traffic planning, in order to analyze the factors affecting the development of shared bicycle. Based on the travel behavior theory, a binomial choice of shared bicycle travel was established Logit based on the survey data, the model parameters were calibrated to determine the significant factors affecting the shared bicycle travel decision
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