The introduction of shared autonomous vehicles (SAVs) presents a wide range of challenges and uncertainties regarding their general acceptability. Hence, it is essential that transit managers have a good understanding of passenger satisfaction and of their behavioural intentions after experiencing a driverless vehicle trip. To this end, 1,062 face-to-face surveys were conducted following driverless bus trials in eight Catalan (Spain) municipalities. Using a three-step SEM-MIMIC ordinal Probit approach, we seek to identify the heterogeneity in user perceptions and reuse intentions, a novelty in SAV literature. Specifically, we analyse the users’ behavioural intention to repeat a journey without transit support personnel on the bus and when entirely alone, and how willing they are to substitute their regular bus service with a driverless one. Our results confirm that critical incidents affect user satisfaction concerning safety, the latter constituting one of the most critical factors impacting user reuse intention and overall satisfaction. The test-track scenario also affects reuse intention, with university campuses and parks recording better outcomes than city centres and pedestrianized zones. In contrast to outcomes reported for conventional bus systems, higher socioeconomic status is associated with higher levels of satisfaction with driverless vehicles and a stronger reuse intention. Female users are reluctant to ride on driverless buses alone; however, when they are not regular bus users, they express a reluctance to board SAV both without transit support personnel and alone. In high-income municipalities, we find a positive impact on reuse intention. Finally, a higher degree of satisfaction with the regular bus system is positively linked with a better perceived driverless bus experience. For implementation purposes, location, critical incidents, safety, regular bus user satisfaction, technology affinity, and the income level of the municipalities are all aspects that need to be factored-in when designing an adoption strategy.

共享自动驾驶汽车（SAV）的引入在其总体可接受性方面带来了广泛的挑战和不确定性。因此，至关重要的是，运输经理在经历无人驾驶汽车旅行后，必须对乘客的满意度及其行为意图有很好的理解。为此，在八个加泰罗尼亚（西班牙）城市进行无人驾驶巴士试验后，进行了1,062项面对面的调查。使用三步SEM-MIMIC序数Probit方法，我们力图确定用户感知和重用意图的异质性，这在SAV文献中是一种新颖性。具体来说，我们分析了用户在没有公交支持人员的情况下重返旅途的行为意图，以及他们是否完全独自一人，以及他们如何愿意用无人驾驶服务代替常规的公交服务。我们的结果证实，关键事件会影响用户对安全的满意度，后者构成影响用户重用意图和总体满意度的最关键因素之一。测试轨道方案还会影响重用意图，大学校园和公园的记录要比城市中心和行人专用区更好。与传统公交系统报告的结果相反，更高的社会经济地位与对无人驾驶车辆的更高满意度以及更强的重用意图相关。女性使用者不愿独自乘坐无人驾驶公交车；然而，当他们不是普通的公共汽车使用者时，他们表示不愿意在没有运输支持人员的情况下或者独自一个人登上SAV。在高收入城市，我们发现对重用意图有积极影响。最后，对常规公交系统的更高满意度与更好的无人驾驶公交体验紧密相关。出于实施目的，在设计采用策略时，必须考虑到位置，重大事件，安全性，定期的公交车用户满意度，技术亲和力以及市政当局的收入水平。