Analysis of user satisfaction of shared bicycles based on SEM

As the ideal transportation mode for the last mile trips of the residents in the city, shared bicycles are becoming more and more popular, and the market of the shared bicycles is experiencing rapid development. The explosive growth of shared bicycles brings many conveniences but also issues. There...

Full description

Saved in:
Bibliographic Details
Published in:Journal of ambient intelligence and humanized computing 2022-03, Vol.13 (3), p.1587-1601
Main Authors: Xia, Xiaomei, Jiang, Huipeng, Wang, Jin
Format: Article
Language:English
Subjects:
Artificial Intelligence
Bicycles
Bicycling
Cities
Computational Intelligence
Cost control
Customer satisfaction
Engineering
Management methods
Original Research
Public transportation
Robotics and Automation
Statistical methods
Traffic congestion
Transportation services
Travel
User Interfaces and Human Computer Interaction
User satisfaction
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:As the ideal transportation mode for the last mile trips of the residents in the city, shared bicycles are becoming more and more popular, and the market of the shared bicycles is experiencing rapid development. The explosive growth of shared bicycles brings many conveniences but also issues. There are many shared bicycles illegally parked around the areas where people are concentrated, which not only caused huge traffic impact, but also affected the normal life of urban residents seriously. Although there have been many studies on public bicycles before, the research on shared bicycles is scattered, fragmented, and there are few quantitative studies. To explore the current operation status of shared bicycle, the cause of the problem, management methods, and provide practical suggestions and opinions on the future operation and development of shared bicycles in the city, after investigating the shared bicycle travel data in Yangpu District, Shanghai, the data obtained is summarized and analyzed with the statistical methods. AMOS and SPSS22.0 are used to analyze the data in depth in this paper. Also, with the establishment of hypothesis, a path diagram and structural equation model is proposed, and path coefficient is calculated. The model is identified, evaluated, and corrected. The extent of the influence of the factors on user satisfaction of the shared bicycle is determined. All the latent variables proposed in this paper passed the significance test. Moreover, there are significant positive correlations between various factors analyzed in this paper and user satisfaction of shared bicycles.
ISSN:1868-5137
1868-5145
DOI:10.1007/s12652-019-01422-y