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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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 |
work_keys_str_mv |
AT benjaminthazen predictingpublicbicycleadoptionusingthetechnologyacceptancemodel AT roberteoverstreet predictingpublicbicycleadoptionusingthetechnologyacceptancemodel AT yacanwang predictingpublicbicycleadoptionusingthetechnologyacceptancemodel |
_version_ |
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