Modeling behavioral intentions for sustainable adoption of autonomous vehicles: Theory, measurement, and predictive insights

IF 4.4 2区 工程技术 Q1 PSYCHOLOGY, APPLIED
Ibrahim Arpaci , Mohammed A. Al-Sharafi , Moamin A. Mahmoud
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引用次数: 0

Abstract

This study investigated the factors predicting sustainability-oriented behavioral intentions toward using autonomous vehicles (AVs). Grounded in the “Theory of Planned Behavior” (TPB), this study extends the theory by incorporating three sustainability-oriented factors, including perceived environmental concerns, perceived authority support, and perceived economic benefits. The proposed model was thoroughly evaluated using a “Structural Equation Modeling” (SEM) approach. This research involved a diverse cohort of 2192 participants, aged between 18 and 78. The results indicated the significant impacts of sustainability-oriented factors in predicting the TPB constructs, including subjective norms, perceived behavioral control, and attitudes toward using AVs. The necessary condition analysis (NCA) results indicated that attitudes, perceived behavioral control, and perceived environmental concerns are significant necessary conditions for behavioral intentions. The findings have practical and managerial implications, providing valuable insights for shaping marketing strategies, formulating policies, establishing pricing strategies, fostering collaborative initiatives, and guiding sustainable product development.
为可持续采用自动驾驶汽车建模行为意图:理论、测量和预测见解
本研究探讨了以可持续为导向的自动驾驶汽车行为意向的预测因素。本研究以“计划行为理论”(Theory of Planned Behavior, TPB)为基础,将可持续性导向的三个因素,包括感知到的环境关注、感知到的权威支持和感知到的经济效益,对该理论进行了扩展。使用“结构方程建模”(SEM)方法对所提出的模型进行了全面评估。这项研究涉及了2192名年龄在18岁到78岁之间的参与者。结果表明,以可持续性为导向的因素,包括主观规范、感知行为控制和使用自动驾驶汽车的态度,对TPB结构的预测有显著影响。必要条件分析(NCA)结果表明,态度、感知行为控制和感知环境关注是行为意向的重要必要条件。研究结果具有实践和管理意义,为制定营销策略、制定政策、建立定价策略、促进合作倡议和指导可持续产品开发提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.60
自引率
14.60%
发文量
239
审稿时长
71 days
期刊介绍: Transportation Research Part F: Traffic Psychology and Behaviour focuses on the behavioural and psychological aspects of traffic and transport. The aim of the journal is to enhance theory development, improve the quality of empirical studies and to stimulate the application of research findings in practice. TRF provides a focus and a means of communication for the considerable amount of research activities that are now being carried out in this field. The journal provides a forum for transportation researchers, psychologists, ergonomists, engineers and policy-makers with an interest in traffic and transport psychology.
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