Understanding the adoption of bike sharing systems

Abstract

Purpose This study aims to investigate users’ adoption of bike sharing systems in China. Design/methodology/approach This research combined perceived risk factors with existing technology diffusion theories (e.g. technology acceptance model and unified theory of acceptance and use of technology) to develop a research model to examine users’ adoption of bike sharing systems in China. As a result, a research model with 11 hypotheses was developed. The developed research model was empirically tested using data collected from a survey of 298 users in China. Structural equation modeling was used to analyze the collected data. Findings The findings indicated that perceived usefulness, facilitating conditions and perceived risks were important determinants to the adoption of bike sharing systems. However, perceived ease of use and social influence did not have significant positive impacts on users’ behavioral intention to use bike sharing systems. Practical implications It is important for service providers to dedicate their time and efforts in maintaining and repairing bikes to ensure that the bikes are in a good condition to be used. System providers need to work on good solutions to better protect users’ personal information and location information. Originality/value This study is first of its kinds in investigating the adoption of bike sharing systems by combining technology diffusion theories and perceived risk theory in China.

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

“…Other factors, such as car usage frequency, education, and income also appeared to have slight impact on travellers' intention to use the system more often. Gao et al (2019) Bike-sharing Chinese residents SEM Perceived usefulness, facilitating conditions and perceived risks were important determinants to the adoption of bike sharing systems. such as bike-, scooter-or carsharing (e.g., Akgün-Tanbay et al, 2022;Campisi et al, 2021;Eccarius & Lu, 2020;Gao et al, 2019;Mattia et al, 2019), whereas fewer publications focus on shared mobility services in a broader sense (e.g., Jie et al, 2021;Ko et al, 2021;Reck & Axhausen, 2021).…”

“…Gao et al (2019) Bike-sharing Chinese residents SEM Perceived usefulness, facilitating conditions and perceived risks were important determinants to the adoption of bike sharing systems. such as bike-, scooter-or carsharing (e.g., Akgün-Tanbay et al, 2022;Campisi et al, 2021;Eccarius & Lu, 2020;Gao et al, 2019;Mattia et al, 2019), whereas fewer publications focus on shared mobility services in a broader sense (e.g., Jie et al, 2021;Ko et al, 2021;Reck & Axhausen, 2021). Our research aligns itself with the latter stream of research, focusing specifically on the intention to adopt different shared electric vehicle types available via eHUBs.…”

“…Moreover, it has been shown that (shared) e-bikes not only substitute trips by private car, but may also substitute trips by public transport or conventional bicycle (Bieliński et al, 2021;Kroesen, 2017). It is commonly found that younger age groups tend to express a greater interest in bike sharing services and use them more frequently (Ge et al, 2020;Nikiforiadis et al, 2019), while perceived usefulness is one of the key predictors of adoption (Gao et al, 2019;Yu et al, 2018).…”

Analisis Faktor-Faktor Yang Mempengaruhi Konsumen Terhadap Purchase Intention Kendaraan Listrik di Indonesia

“…PU dalam model sederhana biasanya memiliki efek positif pada intensi, dan sering mempengaruhi niat melalui Attitude (Chen & Lu, 2016). Pengaruh Perceived Usefulness (PU) atas Purchase Intention telah dipelajari secara luas dan hasil penelitian menunjukkan PU adalah prediktor signifikan dari intensi (Gao et al, 2019;Kamal et al, 2020;Patel, 2018). Dengan demikian penulis mengajukan hipotesis 1: Hipotesis 1.…”

Exploring factors influencing bicycle-sharing adoption in India: a UTAUT 2 based mixed-method approach

“…, 2019). Prior studies have extensively used various theories of information technology, such as the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB) and the Unified Theory of Acceptance and Use of Technology (UTAUT) to investigate the usage of bike sharing (Lyu and Zhang, 2021; Chen, 2016a, b; Gao et al. , 2019).…”