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Sustainability 2016, 8(4), 349; doi:10.3390/su8040349

Analysis of the Influencing Factors of the Public Willingness to Participate in Public Bicycle Projects and Intervention Strategies—A Case Study of Jiangsu Province, China

School of Managemant, China University of Mining and Technology, Da Xue Road 1, Xuzhou 221116, China
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Author to whom correspondence should be addressed.
Academic Editor: Marc A. Rosen
Received: 13 February 2016 / Revised: 28 March 2016 / Accepted: 31 March 2016 / Published: 9 April 2016
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Abstract

In this study, factors influencing the willingness to participate in public bicycle projects were analyzed using the binary logistic model. The study builds on a broad and practical conceptual framework that embraces four dimensions of influencing factors, including household demographic, psychological, external, and public bicycle variables. The empirical results are based on a questionnaire survey that was sent to 520 urban residents in Xuzhou, Taizhou, and Suzhou in Jiangsu province. The survey indicates that environmental responsibility, improvement of the public transport system, health and safety considerations in relation to public bicycles, and environmental crisis consciousness have appreciable impacts upon the willingness to participation in public bicycle projects. The first three of these have a positive impact, whereas the last (environmental crisis consciousness) has a negative impact. Consequently, some policy suggestions are proposed. View Full-Text
Keywords: public bicycle; public participation willingness; binary logistic model public bicycle; public participation willingness; binary logistic model
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Yang, R.; Long, R. Analysis of the Influencing Factors of the Public Willingness to Participate in Public Bicycle Projects and Intervention Strategies—A Case Study of Jiangsu Province, China. Sustainability 2016, 8, 349.

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