Public Transportation (PT) is a universal service in most countries, and it is acknowledged for its social and environmental role in enhancing accessibility and promoting a sustainable transport system. However, when disruptions alter the service, the level of service (LoS) can be massively affected. Consequently, the perceived quality can be influenced, and users can be encouraged (or forced) to modify their subsequent modal choice, in accordance with the users’ socioeconomic profile. A survival analysis, namely a Cox proportional hazards model, was tested in Bologna, Italy, using real data provided by TPER S.p.A, specifically Automatic Vehicle Location (AVL) and Automatic Passenger Counter (APC). This analysis aimed to assess the variations in demand over time taking into account variables related to the socioeconomic characteristics of the demand and several service attributes. The results contribute to the literature in several ways. Firstly, they confirm the predominant role of PT in the modal alternative spectrum of disadvantaged users. Secondly, they provide insights into the perception of quality service among different user categories, including commuters and non-frequent users.

公共交通 （PT） 在大多数国家/地区都是一项普遍服务，它因其在提高可达性和促进可持续交通系统方面的社会和环境作用而得到认可。但是，当中断改变服务时，服务级别 （LoS） 可能会受到巨大影响。因此，感知质量可以受到影响，并且可以鼓励（或强迫）用户根据用户的社会经济状况修改他们随后的模式选择。使用 TPER S.p.A 提供的真实数据，特别是自动车辆定位 （AVL） 和自动乘客计数器 （APC），在意大利博洛尼亚测试了生存分析，即 Cox 比例风险模型。该分析旨在评估需求随时间的变化，同时考虑与需求的社会经济特征和几个服务属性相关的变量。结果以多种方式为文献做出贡献。首先，他们证实了 PT 在弱势用户的模态替代光谱中的主导作用。其次，它们提供了对不同用户类别（包括通勤者和非经常用户）对优质服务的看法的见解。