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Why people adopt smart transportation services: an integrated model of TAM, trust and perceived risk

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  • Junze Wang
  • Sheng Zhao
  • Wei Zhang
  • Richard Evans

Abstract

Advancements in emerging technologies have brought remarkable socio-technical changes to how people communicate, Smart transportation and urban mobility have become high priority topics for city planners and policymakers as cities seek to become more desirable to citizens. However, few empirical studies have critically examined factors that affect user acceptance of Smart Transportation Services (STS) and their impact. Grounded in perceived risk and trust theory, and the Technology Acceptance Model (TAM), this paper examines the impact of users’ antecedents on the acceptance of smart transportation services. We use structural equation modeling to conduct an empirical analysis of questionnaire data collected from a sample of users in China. Results show that trust and reducing perceived security risk and perceived privacy risk can enhance users’ trust in STS. Our findings provide important practical implications for governments and service providers for improving the acceptance rate of smart transportation services in China.

Suggested Citation

  • Junze Wang & Sheng Zhao & Wei Zhang & Richard Evans, 2021. "Why people adopt smart transportation services: an integrated model of TAM, trust and perceived risk," Transportation Planning and Technology, Taylor & Francis Journals, vol. 44(6), pages 629-646, August.
    • Handle: RePEc:taf:transp:v:44:y:2021:i:6:p:629-646
    DOI: 10.1080/03081060.2021.1943132
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    Citations

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    Cited by:

    1. Naihui Wang & Yulong Pei & Hao Fu, 2022. "Public Acceptance of Last-Mile Shuttle Bus Services with Automation and Electrification in Cold-Climate Environments," Sustainability, MDPI, vol. 14(21), pages 1-16, November.
    2. Yuho Shimizu & Aimi Ishizuna & Shin Osaki & Takaaki Hashimoto & Mitsuharu Tai & Tetsushi Tanibe & Kaori Karasawa, 2022. "The Social Acceptance of Smart Health Services in Japan," IJERPH, MDPI, vol. 19(3), pages 1-11, January.
    3. Qinghong Cui & Ruirui Wei & Rong Huang & Xiancun Hu & Guangbin Wang, 2022. "The Effect of Perceived Risk on Public Participation Intention in Smart City Development: Evidence from China," Land, MDPI, vol. 11(9), pages 1-14, September.
    4. Souha Al-Geitany & Hasan Yousef Aljuhmani & Okechukwu Lawrence Emeagwali & Elsie Nasr, 2023. "Consumer Behavior in the Post-COVID-19 Era: The Impact of Perceived Interactivity on Behavioral Intention in the Context of Virtual Conferences," Sustainability, MDPI, vol. 15(11), pages 1-23, May.
    5. Azra Shamim & Awais Ali Khan & Muhammad Ahsan Qureshi & Hamaad Rafique & Adnan Akhunzada, 2021. "Ride or Not to Ride: Does the Customer Deviate toward Ridesharing?," IJERPH, MDPI, vol. 18(19), pages 1-18, October.
    6. Wang, Yi-Jia & Wang, Yue & Huang, George Q. & Lin, Ciyun, 2024. "Public acceptance of crowdsourced delivery from a customer perspective," European Journal of Operational Research, Elsevier, vol. 317(3), pages 793-805.

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