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Investigating factors that affect the intention to use shared parking: A case study of Taipei City

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  • Liang, Jyun-Kai
  • Eccarius, Timo
  • Lu, Chung-Cheng

Abstract

Shared parking has recently emerged as an effective means of parking management in urban areas. The success of implementing shared parking necessitates understanding the factors which affect people’s intention to use shared parking. In this study, we used the Combined Technology Acceptance Model and the Theory of Planned Behavior (C-TAM-TPB) as a theoretical framework to investigate the intention to use shared parking from the perspective of parking space suppliers and parking space demanders (drivers). Hypothesis testing using the partial least-square (PLS) method of structural equation modeling (SEM) was performed using an empirical assessment of the shared parking schemes in Taipei City. Our results indicate that perceived control and self-efficacy pertaining to participation in shared parking were the most influential factors for parking space demanders, whereas the influence of significant others was the most influential factor for parking suppliers. We also found that the attitude of potential users toward shared parking can strongly affect their intention to participate, whether as a demander or a supplier. Our findings could help to identify the intrinsic factors affecting one’s intention to participate in shared parking schemes. Our findings could also help government agencies and system operators to promote the notion of shared parking to the public.

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  • Liang, Jyun-Kai & Eccarius, Timo & Lu, Chung-Cheng, 2019. "Investigating factors that affect the intention to use shared parking: A case study of Taipei City," Transportation Research Part A: Policy and Practice, Elsevier, vol. 130(C), pages 799-812.
    • Handle: RePEc:eee:transa:v:130:y:2019:i:c:p:799-812
    DOI: 10.1016/j.tra.2019.10.006
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    14. Niu, Zhipeng & Hu, Xiaowei & Qi, Shouming & Yang, Haihua & Wang, Siqing & An, Shi, 2021. "Determinants to parking mode alternatives: A model integrating technology acceptance model and satisfaction–loyalty model," Transportation Research Part A: Policy and Practice, Elsevier, vol. 152(C), pages 216-234.
    15. Najmi, Ali & Bostanara, Maryam & Gu, Ziyuan & Rashidi, Taha H., 2021. "On-street parking management and pricing policies: An evaluation from a system enhancement perspective," Transportation Research Part A: Policy and Practice, Elsevier, vol. 146(C), pages 128-151.
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