As a new form of shared mobility similar to bike-sharing, there is an increasing trend of people starting to use shared electric bicycles (SEB) for travel in China. Understanding the psychosocial factors that affect residents’ intention to use SEB is essential for the implementation of policies to develop sustainable transportation. Most research focuses on bike-sharing, while research on SEB is relatively rare. As such, this study proposes a theoretical framework based on the Theory of Planned Behavior (TPB) and the Technology Acceptance Model (TAM) to explore the mechanisms that influence the acceptance of and intention to use SEB. Drawing on this, it further addresses the moderating role of group heterogeneity and the residual effect of bike-sharing. An online survey of 313 SEB users in China was conducted in 2021. The results are constructed by structural equation modeling (SEM) and multiple-indicator multiple-cause (MIMIC) model. The results show that the research model can well explain people’s intention to use SEB. Perceived usefulness, attitude, subjective norm, and perceived behavioral control have direct positive effects on the intention to use SEB. However, there is group heterogeneity between social-economic attributes and latent variables. Moreover, satisfaction with bike-sharing could moderate the relationship between perceived usefulness and intention toward SEB. Based on the findings, some policy insights from users, government, and enterprises are proposed to guide the development of SEB.
Transit-oriented development (TOD) is an urban designed model aimed at attracting more sustainable travellers. However, not all TOD projects succeed in maintaining a high rate of sustainable travel behaviour. To examine the impacts of TOD on residents’ travel behaviour, this paper applies binary logistic regression to analyse survey data for 1,298 residents living in the TOD areas in Hangzhou collected in 2020. The results show that socioeconomic characteristics, built environment factors, and travel attitudes play important roles in influencing their travel mode choices. Furthermore, the number of children in households and higher levels of car ownership significantly influence residents’ sustainable travel behaviours. However, it appears that only a limited number of factors can convince car users to shift to sustainable modes of travel, such as their workplace being accessible by metro and attitudes towards changes in accessibility. This research study contributes to the existing literature in terms of enhancing the understanding of travel mode choice behaviours, particularly with regard to people who live near public transport infrastructure, as well as formulating evidence-based TOD policies to achieve more sustainable transport systems.
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