While living in city centers is usually linked to higher accessibility levels, shorter travel times, and higher levels of public transit (PT) utilization, the opposite is true for residents of suburban areas. This assumption holds in metropolitan contexts, where central areas offer better accessibility and are associated with higher levels of PT use. In metropolitan peripheries, a large part of commuting is done on an interurban basis, so that the level of use of public transit can be linked to the supply and information available. This work aims to understand the conditions in terms of transit supply and land use, considering the most frequent trip, psychological variables, and the modal choice of commuters’ motorized modes, in the intention to use the new real-time multi-modal travel app, such as advanced traveler information systems (ATIS) for digital mobility-management assistance. A Structural Equation Model is developed to empirically test a sample of 768 respondents collected in two suburban corridors in the Lisbon Metropolitan Area (LMA). Finally, our findings indicate that residential location, mode choice, and trip complexity have a relevant influence on the intention to adopt travel apps. Male students belonging to Generation Y/Z are the most likely users of travel apps. Regardless of the reason, travel patterns associated with more complex (more transfers) and more frequent trips can reinforce the intention to use apps. Also, it is worth noting that students are frequent public transit users, and public transit is also related to trip complexity.

中文翻译：

---

居住位置和公共交通选择对通勤者将旅行应用程序用于不同旅行目的的意图的影响


虽然住在市中心通常与更高的可达性、更短的旅行时间和更高水平的公共交通 （PT） 利用率有关，但郊区的居民则相反。这一假设适用于大都市环境，其中中心区域提供更好的可达性，并且与更高水平的 PT 使用相关。在大都市边缘地区，大部分通勤是在城际基础上完成的，因此公共交通的使用水平可以与可用的供应和信息联系起来。这项工作旨在了解交通供应和土地使用方面的条件，考虑最频繁的出行、心理变量和通勤者机动模式的模式选择，以使用新的实时多式联运应用程序，例如高级旅行者信息系统 （ATIS） 进行数字出行管理协助。开发了一个结构方程模型，以实证检验在里斯本大都会区 （LMA） 的两个郊区走廊收集的 768 名受访者的样本。最后，我们的研究结果表明，居住位置、出行方式选择和出行复杂性对采用旅游应用的意愿有相关影响。属于 Y/Z 世代的男学生是最有可能使用旅游应用的用户。无论出于何种原因，与更复杂（更多换乘）和更频繁的旅行相关的旅行模式都会强化使用应用程序的意图。此外，值得注意的是，学生是公共交通的频繁使用者，公共交通也与出行复杂性有关。