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

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.

Something for every one? - An investigation of people’s intention to use different types of shared electric vehicle

“…Those scoring high on the pro-shared component are interested in using shared vehicles for either commuting or leisure trips, feel confident about the use of eHUBs and shared electric vehicles (i.e., high PBC), and believe in the added benefits of shared mobility, such as increased flexibility (see also Table 5). These results demonstrate that both, the perceived characteristics of the innovation (Rogers, 1995), as well as behavioural beliefs (i. e., a pro-shared mobility attitude) are crucial for the intended uptake of any shared (electric) vehicle type (Ge et al, 2020;Li et al, 2021;Mattia et al, 2019;Yu et al, 2018), thus lending support to both DOI and TPB constructs.…”

“…First, theoretical approaches aim to predict the intention to use shared mobility services directly via statistical models. In most cases, these studies rely on commonly used theoretical frameworks, such as the Theory of Planned Behaviour (e.g., Li et al, 2021;Mattia et al, 2019;Yu et al, 2018). Second, interest in shared mobility services or bundles is explored via Stated Preference surveys (e.g., Asgari et al, 2018;Ho et al, 2020).…”

“…All of the aforementioned studies suggest, however, that people from higher income groups and those with a higher education background are more likely to use shared mobility options, suggesting a significant gap in shared mobility provision. Apart from people's demographic characteristics, it has been found that TPB constructs (i.e., attitude, perceived behaviour control, and subjective norms; Li et al, 2021;Mattia et al, 2019;Yu et al, 2018), as well as environmental concerns (Eccarius & Lu, 2020;Garaus and Garaus, 2021;Kopplin et al, 2021;Li & Kamargianni, 2020), are among the key predictors of the intention to use shared mobility services.…”

“…Amongst its wide applications in the domain of travel behaviour (Ahmed et al, 2021;Donald et al, 2014;Lois et al, 2015;Neto et al, 2020), the TPB has also been applied in the context of shared mobility (Li et al, 2021;Mattia et al, 2019;Si et al, 2020;Yu et al, 2018). Instead of providing a test of the theory (e.g., Li et al, 2021;Si et al, 2020), however, the primary purpose of TPB in the present study was to derive attitudinal statements capturing respondents' personal attitudes, subjective norm, and perceived behavioural control, therefore complementing the perceived characteristics of the innovation based on DOI as potential predictors of adoption.…”

A Comparison in Travel Characteristics of Bike-Sharing between College Students and Office Workers Based on Theory of Planned Behavior

“…Regarding bicycle travel, parents may not recommend to their children to ride bicycles due to safety concerns, while friends and classmates may use the advantages of bike sharing to increase their willingness to travel [ 42 ]. Previous studies have demonstrated the positive impact of bike sharing on the willingness to travel by bicycle, with some scholars arguing that the influence of SN on the willingness to use bike sharing is most significant [ 42 , 43 , 44 ]. Measures such as policy guidance, environmental awareness, and price incentives can have a positive impact on bicycle travel through SN.…”