Exploring Intention to Use Shared Electric Bicycles by the Extended Theory of Planned Behavior

Jun Li, Jiachao Shen and Bicen Jia
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Jun Li: School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou 510000, China
Jiachao Shen: School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou 510000, China
Bicen Jia: School of Intelligent Systems Engineering, Sun Yat-sen University, Guangzhou 510000, China

Sustainability, 2021, vol. 13, issue 8, 1-13

Abstract: In China, shared electric bicycles are developing rapidly, and are widely used by residents. Understanding the factors that affect residents’ intention to use shared electric bicycles is important for implementing a policy of developing sustainable transportation. A sample of 751 respondents has been collected in a small-sized Chinese city to analyze residents’ intention to use shared electric bicycles, using an extended theory of planned behavior model. The findings reveal that the research model can well explain residents’ intention to use shared electric bicycles. Attitude, subjective norm, and perceived behavioral control have direct positive effects on the intention to use shared electric bicycles. Among them, the subjective norm has the greatest impact on the intention to use shared electric bicycles. Environmental concern and policy support have indirect positive effects on the intention to use shared electric bicycles through the partial mediation of attitude and subjective norm. Based on the above analysis, some measures are proposed to guide the development of shared electric bicycles.

Keywords: shared electric bicycle; extended theory of planned behavior; environmental concern; policy support (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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