Business School, Yangzhou University, Yangzhou 22509, China.
Department of Communication Studies, Harrington School of Communication and Media, University of Rhode Island, Kingston, RI 02881, USA.
Int J Environ Res Public Health. 2017 Dec 18;14(12):1593. doi: 10.3390/ijerph14121593.
With increasing urbanization in China, many cities are facing serious environmental problems due to continuous and substantial increase in automobile transportation. It is becoming imperative to examine effective ways to reduce individual automobile use to facilitate sustainable transportation behavior. Empirical, theory-based research on sustainable transportation in China is limited. In this research, we propose an integrated model based on the norm activation model and the theory of planned behavior by combining normative and rational factors to predict individuals' intention to reduce car use. Data from a survey of 600 car drivers in China's three metropolitan areas was used to test the proposed model and hypotheses. Results showed that three variables, perceived norm of car-transport reduction, attitude towards reduction, and perceived behavior control over car-transport reduction, significantly affected the intention to reduce car-transport. Personal norms mediated the relationship between awareness of consequences of car-transport, ascription of responsibility of car-transport, perceived subjective norm for car-transport reduction, and intention to reduce car-transport. The results of this research not only contribute to theory development in the area of sustainable transportation behavior, but also provide a theoretical frame of reference for relevant policy-makers in urban transport management.
随着中国城市化进程的加快，由于汽车交通的持续大量增加，许多城市正面临着严重的环境问题。因此，有必要研究减少个人汽车使用的有效方法，以促进可持续的交通行为。中国在可持续交通方面的实证、基于理论的研究有限。在这项研究中，我们提出了一个基于规范激活模型和计划行为理论的综合模型，通过将规范和理性因素结合起来，预测个人减少汽车使用的意愿。该研究使用了来自中国三个大都市区的 600 名汽车司机的调查数据来检验所提出的模型和假设。结果表明，感知的减少汽车运输的规范、对减少的态度以及对减少汽车运输的感知行为控制这三个变量显著影响了减少汽车运输的意愿。个人规范中介了对汽车运输后果的认识、对汽车运输责任的归因、对减少汽车运输的感知主观规范与减少汽车运输意愿之间的关系。这项研究的结果不仅有助于可持续交通行为领域的理论发展，也为城市交通管理的相关政策制定者提供了理论参考框架。
