This study explores the level of segregation experienced by seniors, children/youth, and passengers with disabilities, compared to normal-fare passengers at their trip destination when using public transportation. One week's travel records of public transit passengers were extracted from Seoul's transport card data to compute dissimilarity and exposure indices, theoretically equivalent to those developed in segregation research, to capture destination-based segregation through mobility patterns. Additionally, a multigroup entropy index was computed to measure diversity by assessing the social mixture of all passenger flows in a spatial unit. The results revealed that segregation levels experienced by passengers based on their social groups are notably different depending on the time of day and the day of the week. The computed exposure measure illustrates that the potential interaction between the selected social groups and normal-fare passengers is relatively higher during peak hours on weekdays. The results also show that subway stations provide more opportunities for interaction among different social groups. These findings can contribute to a better understanding of social segregation through mobility patterns as well as the effective quantification of the public transport network performance in terms of providing an interaction opportunity for the groups.

这项研究探索了老年人，儿童/青年和残疾乘客与使用公共交通工具时旅行目的地的正常票价乘客相比的隔离水平。从首尔的交通卡数据中提取了一个星期的公共交通乘客的旅行记录，以计算相异性和暴露指数，理论上与隔离研究中得出的数据相同，以通过出行方式捕获基于目的地的隔离。此外，通过评估空间单位中所有乘客流量的社会混合，计算了多组熵指标来衡量多样性。结果显示，根据一天中的不同时间和一周中的不同时段，基于他们的社会群体的乘客所经历的隔离水平显着不同。计算得出的暴露程度表明，在工作日的高峰时段，选定的社会群体与正常票价乘客之间的潜在互动相对较高。结果还表明，地铁站为不同社会群体之间的互动提供了更多机会。这些发现有助于通过流动模式更好地理解社会隔离，并在为群体提供互动机会方面有效量化公共交通网络的绩效。