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碳-电市场协同背景下基于HSM模型的用户网约电动车行为实证研究

An empirical study of user’s online electric vehicle car-hailing behavior based on the HSM model in the context of coordinated carbon and electricity markets

  • 摘要: 交通运输领域对石油燃料的依赖加剧了环境问题,凸显了可持续发展的必要性。网约电动车服务为电动车的普及提供了重要机遇。本研究基于启发式-系统式信息处理模型,探讨了风险感知、信息需求、先验经验与知识对用户使用电动网约车服务的影响。研究结果表明:用户的先验经验与知识会显著提升信息需求,促进启发式与系统式信息处理,从而产生积极的态度变化,但该因素对风险感知无显著影响。风险感知会提升信息需求并支持系统式信息处理,但会对用户态度变化产生负面影响。信息需求的增加会强化系统式信息处理并促进用户态度变化。风险感知与信息需求未能通过启发式处理路径影响态度变化。最后,给出了相关启示与未来研究方向。

     

    Abstract: The transportation sector’s reliance on petroleum fuels exacerbates environmental issues, emphasizing the need for sustainable development. Online electric vehicle (EV) car-hailing services present a key opportunity for EV adoption. This study develops a model based on heuristic and systematic information processing, examining the impacts of factors such as risk perception, information need, and prior experience and knowledge on users’ utilization of online electric vehicle car-hailing services. The results show that users’ prior experience and knowledge increase their information need and promote both heuristic and systematic processing, leading to positive attitude changes, although they don’t significantly affect perceived risk. Perceived risk increases information need and supports supports systematic processing but negatively impacts attitude change. Greater information enhances systematic processing and attitude changes. Risk perception and information need do not affect attitude change via heuristic processing. Finally, the paper is concluded with implications and future research directions.

     

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