|Table of Contents|

Commuting intention of e-bikes based on improved planned behavior theory(PDF)

长安大学学报(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

Issue:
2023年6期
Page:
116-128
Research Field:
交通工程
Publishing date:

Info

Title:
Commuting intention of e-bikes based on improved planned behavior theory
Author(s):
YAN Hai LI Wei-kang HAO Ming-yang
(Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China)
Keywords:
traffic engineering behavioral intention theory of planned behavior e-bike multiple indicators and multiple causes model technology acceptance theory
PACS:
U491
DOI:
10.19721/j.cnki.1671-8879.2023.06.011
Abstract:
In order to explore the intrinsic reasons for the continuous growth of e-bike travel in megacities, a data survey was conducted in Beijing using stated preference+revealed prefereence(SP+RP)questionnaire, a theoretical framework was formed by combining the theory of planned behavior with the theory of technology acceptance, and a total of six psychological latent variables of perceived usefulness, perceived ease of use, travel attitude, perceptual behavioral control, subjective norms, and behavioral intention were selected, and the hypotheses of 12 paths for the functional relationship of the psychological latent variables were put forward. A multiple indicators and multiple causes model was established to analyze the functional relationship between individual socio-economic attributes and psychological latent variables on e-bike commuting travel intention. The results show that gender has a significant positive effect on the travel attitude and perceived usefulness of e-bike commuting travel. Education level has a significant negative effect on subjective norms. Personal monthly income has a significant negative effect on perceptual behavioral control. Whether has driver's license has a significant positive effect on perceived ease of use. Perceived usefulness, travel attitude, and perceptual behavioral control have significant positive effects on the behavioral intention to e-bike commuting. Subjective norms do not have significant influence on behavioral intention, but indirectly influence behavioral intention through travel attitude and perceptual behavioral control. Perceived ease of use indirectly influences behavioral intention through perceived usefulness and travel attitude. Perceived usefulness is the most significant influencing factor on behavioral intention, followed by perceived ease of use. Based on the low travel cost and high travel convenience of e-bike, commuters have positive attitudes toward continuing and frequent use of it and are willing to recommend it to others around them. Drivers' ability and riding skills play a decisive role in the efficiency of e-bike travel, and the freedom of time and choice of travel routes and the possibility of direct door-to-door access have large impacts on perceived usefulness. Therefore, considering the trend that travel demand for e-bikes will continue to grow under the current management policy, emphasis should be placed on the diversity of the e-bike commuters, improving charging facilities, and at the same time enhancing safety education and riding training to improve the safety of e-bike.8 tabs, 6 figs, 44 refs.

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Last Update: 2023-10-30