Analyzing Drivers’ Intention to Accept Parking App by Structural Equation Model
Joint Authors
Wang, Tao
Ye, Xiaofei
Yang, Zhen
Yan, Xingchen
Yang, Chang
Xie, Jin
Jun, Chen
Lu, Lili
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-04-22
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
With the concept of sharing economic entering into our lives, many parking Apps are designed for connecting the drivers and vacated parking spaces.
However, there are not many drivers who use the mobile Apps to reserve and find available parking spaces, which is largely due to the insufficient information provided by the parking App.
In order to better explain, predict, and improve drivers’ acceptance of parking App, the conceptual framework based on technology acceptance model was developed to establish the relationships between the drivers’ intention to accept parking App, trust in parking App, perceived usefulness of parking App, and perceived ease of its use.
Then structural equation model was established to analyze the relationship between various variables.
The results show that the trust in parking App, perceived usefulness, perceived ease of use, and parking App attributes are the main factors that determine the intention to use parking App.
Through the test of direct effect, indirect effect, and total effect in the model, it is found that perceived usefulness has the largest total impact on acceptance intention, with a standardized coefficient of 0.984, followed by parking App attribute (0.743), perceived ease of use (0.384), and trust in parking App (0.381).
American Psychological Association (APA)
Yang, Chang& Ye, Xiaofei& Xie, Jin& Yan, Xingchen& Lu, Lili& Yang, Zhen…[et al.]. 2020. Analyzing Drivers’ Intention to Accept Parking App by Structural Equation Model. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1175495
Modern Language Association (MLA)
Yang, Chang…[et al.]. Analyzing Drivers’ Intention to Accept Parking App by Structural Equation Model. Journal of Advanced Transportation No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1175495
American Medical Association (AMA)
Yang, Chang& Ye, Xiaofei& Xie, Jin& Yan, Xingchen& Lu, Lili& Yang, Zhen…[et al.]. Analyzing Drivers’ Intention to Accept Parking App by Structural Equation Model. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1175495
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1175495