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Towards Sustainable Mobility: Factors Influencing the Intention to Use Ride-Sharing in the Post-Pandemic Era

Author

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  • Kun Wang

    (College of Civil Engineering, Anhui Jianzhu University, Hefei 230601, China
    National-Local Joint Engineering Laboratory of Building Health Monitoring and Disaster Prevention Technology, Hefei 230601, China)

  • Linfeng Qi

    (College of Civil Engineering, Anhui Jianzhu University, Hefei 230601, China)

  • Shuo Yang

    (College of Civil Engineering, Anhui Jianzhu University, Hefei 230601, China
    National-Local Joint Engineering Laboratory of Building Health Monitoring and Disaster Prevention Technology, Hefei 230601, China)

  • Cheng Wang

    (School of Architecture & Urban Planning, Anhui Jianzhu University, Hefei 230601, China)

  • Rensu Zhou

    (College of Civil Engineering, Anhui Jianzhu University, Hefei 230601, China)

  • Jing Liu

    (School of Mechanical and Electrical Engineering, Anhui Jianzhu University, Hefei 230601, China)

Abstract

As a key element of the sharing economy, ride-sharing plays a vital role in promoting sustainable urban mobility by optimizing vehicle utilization rates, lowering carbon emissions, and alleviating traffic congestion. Despite its cost-efficiency and sustainability benefits, ride-sharing adoption remains limited in the post-pandemic period due to behavioral changes and safety concerns. Accordingly, using survey data from 425 commuters in Hefei, concerns about COVID-19 and satisfaction with ride-sharing services were integrated into the theory of planned behavior framework. Structural equation modeling was applied to examine the relationship between ride-sharing intention and actual usage behaviors. The results indicated that ride-sharing intention was significantly positively affected by subjective norms (β = 0.428 ***), service satisfaction (β = 0.315 ***), and perceived behavioral control (β = 0.162 *), but significantly negatively affected by concerns about COVID-19 (β = −0.183 **). Concerns about COVID-19 significantly negatively affected travelers’ actual ride-sharing behaviors (β = −0.2 **). Furthermore, ride-sharing intention was identified as a significant positive predictor of travelers’ behaviors: specifically, their likelihood of accepting a ride-sharing order (β = 0.395 ***). These findings offer transport authorities evidence-based strategies for designing targeted interventions during health crises, particularly through reinforcing social norms, improving service quality, and implementing transparent health protocols to ensure both user safety and sustainability.

Suggested Citation

  • Kun Wang & Linfeng Qi & Shuo Yang & Cheng Wang & Rensu Zhou & Jing Liu, 2025. "Towards Sustainable Mobility: Factors Influencing the Intention to Use Ride-Sharing in the Post-Pandemic Era," Sustainability, MDPI, vol. 17(18), pages 1-17, September.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:18:p:8343-:d:1751615
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    References listed on IDEAS

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