Semenescu Alin, Gavreliuc Alin
Department of Psychology, West University of Timișoara, Timișoara, Romania.
Front Psychol. 2021 Nov 30;12:692435. doi: 10.3389/fpsyg.2021.692435. eCollection 2021.
Besides its undeniable advantages, personal car use generates a wide array of problems, among which its contribution to global warming is probably the most severe. To implement sound policies that are effective in reducing private car use, it is essential to first understand its important antecedents. Structural, psychological and contextual predictors were extensively studied independently, yet integrative approaches that investigate all these factors in a single theoretical model are lacking. The present study contributes to a more comprehensive understanding of car use behavior by proposing a model that includes structural, psychological and contextual determinants and tests this model on an international sample of drivers ( = 414). Responses were analyzed using a structural equation modeling approach. Results show that car use habits, perceived behavioral control, policy measures, fuel cost, infrastructure, temperature and level of precipitations significantly influence car use behavior. Such results support the inclusion of both structural (i.e., hard) and psychological (i.e., soft) factors in the design of policy interventions, while also considering contextual situations. Implications for policy and practice are discussed.
除了其不可否认的优点外，私人汽车的使用也产生了一系列问题，其中它对全球变暖的影响可能最为严重。要实施有效的政策来减少私家车的使用，首先必须了解其重要的先行因素。人们对结构、心理和情境预测因素进行了广泛的独立研究，但缺乏在单一理论模型中研究所有这些因素的综合方法。本研究通过提出一个包含结构、心理和情境决定因素的模型，并在一个国际驾驶员样本（N = 414）上对该模型进行测试，有助于更全面地理解汽车使用行为。使用结构方程建模方法对回答进行了分析。结果表明，汽车使用习惯、感知行为控制、政策措施、燃料成本、基础设施、温度和降水量显著影响汽车使用行为。这些结果支持在政策干预设计中纳入结构（即硬性）和心理（即软性）因素，同时也要考虑情境情况。讨论了对政策和实践的启示。
