Predicting Public Bicycle Adoption Using the Technology Acceptance Model

Benjamin T. Hazen, Robert E. Overstreet and Yacan Wang
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Benjamin T. Hazen: Department of Marketing and Supply Chain Management, University of Tennessee, Knoxville, TN 37996, USA
Robert E. Overstreet: Department of Operational Sciences, Air Force Institute of Technology, Wright-Patterson AFB, OH 45433-7765, USA
Yacan Wang: Department of Economics, Beijing Jiaotong University, Beijing 100044, China

Sustainability, 2015, vol. 7, issue 11, 1-16

Abstract: Bicycle sharing programs provide a sustainable mode of urban transportation. Although cities across the globe have developed these systems for their citizens and visitors, usage rates are not as high as anticipated. This research uses the technology acceptance model as the basis to understand one’s intention to adopt bicycle sharing programs. Using survey data derived from 421 participants in Beijing, China, the proposed covariance-based structural equation model consisting of perceived quality, perceived convenience, and perceived value is found to predict 50.5% of the variance in adoption intention. The findings of this research contribute to theory and practice in the burgeoning literature on public bicycle systems and sustainable urban transportation by offering a theoretical lens through which to consider system adoption, and providing information to practitioners as to what factors might contribute most to adoption.

Keywords: bicycle-sharing; technology acceptance; perceived quality; structural equation modeling; urban transportation; green logistics (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (12)

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