Predicting Public Bicycle Adoption Using the Technology Acceptance Model

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...

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Main Authors: Benjamin T. Hazen, Robert E. Overstreet, Yacan Wang
Format: Article
Language:English
Published: MDPI AG 2015-10-01
Series:Sustainability
Subjects:
Online Access:http://www.mdpi.com/2071-1050/7/11/14558
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spelling doaj-22c720449a04451fa77515518806a2132020-11-24T23:58:36ZengMDPI AGSustainability2071-10502015-10-01711145581457310.3390/su71114558su71114558Predicting Public Bicycle Adoption Using the Technology Acceptance ModelBenjamin T. Hazen0Robert E. Overstreet1Yacan Wang2Department of Marketing and Supply Chain Management, University of Tennessee, Knoxville, TN 37996, USADepartment of Operational Sciences, Air Force Institute of Technology, Wright-Patterson AFB, OH 45433-7765, USADepartment of Economics, Beijing Jiaotong University, Beijing 100044, ChinaBicycle 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.http://www.mdpi.com/2071-1050/7/11/14558bicycle-sharingtechnology acceptanceperceived qualitystructural equation modelingurban transportationgreen logistics
collection DOAJ
language English
format Article
sources DOAJ
author Benjamin T. Hazen
Robert E. Overstreet
Yacan Wang
spellingShingle Benjamin T. Hazen
Robert E. Overstreet
Yacan Wang
Predicting Public Bicycle Adoption Using the Technology Acceptance Model
Sustainability
bicycle-sharing
technology acceptance
perceived quality
structural equation modeling
urban transportation
green logistics
author_facet Benjamin T. Hazen
Robert E. Overstreet
Yacan Wang
author_sort Benjamin T. Hazen
title Predicting Public Bicycle Adoption Using the Technology Acceptance Model
title_short Predicting Public Bicycle Adoption Using the Technology Acceptance Model
title_full Predicting Public Bicycle Adoption Using the Technology Acceptance Model
title_fullStr Predicting Public Bicycle Adoption Using the Technology Acceptance Model
title_full_unstemmed Predicting Public Bicycle Adoption Using the Technology Acceptance Model
title_sort predicting public bicycle adoption using the technology acceptance model
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2015-10-01
description 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.
topic bicycle-sharing
technology acceptance
perceived quality
structural equation modeling
urban transportation
green logistics
url http://www.mdpi.com/2071-1050/7/11/14558
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