Public transport was already one of the biggest issues for all municipalities where people are highly concentrated at the same space at the same time. With COVID-19 pandemic and social distancing consequences, mass transportation is actually the main barrier for students and workers dependents of transport to go back to their daily routines with comfort and safety. Thus, the objective is to determine a demand control able to equalize the number of passengers in each car, respecting the COVID-19 social distancing protocols. The number of passengers in each time-of-day range were combined in four different models that included independent variables related to passenger's behavior indicating that almost 90% of all passengers are following a very strict and straight daily routine that can be coordinated and scheduled creating enough time space one from the other to avoid undesirable concentrations inside buses and bus stops. In conclusion, a very accurate urban management tool can arise from the study and may be able to solve not only the pandemic issues but also to improve local public services efficiency, to attract private investments and to improve citizen's quality of life.

对于人们同时高度集中在同一空间的所有城市来说，公共交通已经是最大的问题之一。随着 COVID-19 大流行和社会疏远的后果，公共交通实际上是学生和工人依赖交通的主要障碍，让他们舒适和安全地回到日常生活中。因此，目标是确定一种需求控制，该控制能够在尊重 COVID-19 社交距离协议的情况下平衡每辆车的乘客数量。每个时间范围内的乘客人数被组合在四个不同的模型中，这些模型包括与乘客相关的自变量 的行为表明，几乎 90% 的乘客都遵循非常严格和直接的日常工作，这些日常工作可以协调和安排，从而为彼此创造足够的时间空间，以避免在公交车和公交车站内出现不良集中。总而言之，研究可以产生一个非常准确的城市管理工具，不仅可以解决大流行问题，还可以提高当地公共服务效率，吸引私人投资并提高公民的生活质量。