Cross-loadings.

This study analyzed the factors influencing university students’ intention to use electric bus services to commute to campuses in developing countries, specifically in Ecuador, Peru, and Colombia. A technology adoption model was proposed that integrates variables from the Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), and Unified Theory of Acceptance and Use of Technology (UTAUT), which helps in understanding, predicting, and explaining the acceptance and use of technologies, thus facilitating the design of strategies to improve adoption in various contexts. Data were collected from 1,158 students across different academic fields, genders, and academic levels in the countries studied. The analysis was conducted using structural equation modeling with the partial least squares technique. The key factors assessed included attitudes toward electric vehicles, perceived risk, consumer characteristics, emotions, hyperbolic discounting, intention to use electric transport, and social influence. The findings provide valuable insights into the determinants of electric transportation service adoption among university students and offer guidance for implementing sustainable transportation solutions in educational institutions in developing countries.

本研究针对发展中国家（具体为厄瓜多尔、秘鲁、哥伦比亚）大学生使用电动巴士通勤往返校园的意向影响因素展开分析。本研究提出了一种整合技术接受模型（Technology Acceptance Model, TAM）、计划行为理论（Theory of Planned Behavior, TPB）以及技术接受与使用统一理论（Unified Theory of Acceptance and Use of Technology, UTAUT）相关变量的技术采纳模型，该模型可助力理解、预测并阐释技术的接受与使用行为，进而为优化多场景下的技术采纳策略设计提供支撑。研究共从上述三国不同学科、性别与学业层次的大学生群体中收集到1158份有效样本数据。分析环节采用偏最小二乘结构方程模型开展。本次评估的核心影响因素包括：对电动汽车的态度、感知风险、消费者特征、情绪、双曲线贴现（hyperbolic discounting）、电动交通使用意向以及社会影响。研究结果为探明大学生群体电动交通服务采纳的决定因素提供了极具价值的参考视角，同时可为发展中国家教育机构推行可持续交通解决方案提供实践指导。