韩国交通卡数据中通勤者的综合交通方式选择模式

Jin Ki Eom , Seonhwa Jung , Kwang Sub Lee
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引用次数: 0

摘要

韩国从2022年开始,为了促进公共交通,引进了MTC卡。MTC卡根据步行或骑自行车的距离累积里程,并记录第一英里和最后一英里的行程数据,最多可节省30%的交通成本。以首尔江南站为例,通过建立多项logit模型,分析了江南站早晚高峰期间的综合换乘模式。根据交通委员会的资料,首都圈的公共交通使用者的平均换乘次数为1.32次,因此,模型主要集中在两种换乘方式之间。将“地铁到公交车”、“地铁到地铁”、“公交车到公交车”、“公交车到地铁”等四种交通方式组合设置为选择变量。结果表明,在早高峰时段,“公交转地铁(BtoM)”组合更受青睐,而“地铁转公交(MtoB)”组合在晚高峰时段更受青睐。早上上班的人比晚上上班的人对时间和成本更敏感。通过确定每个时间段的首选交通组合,决策者制定适当的公共交通服务规划。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Combined transit mode choice patterns for commuters from transit card data in Korea
In 2022, Korea introduced the MTC card to promote public transportation. The MTC card offers up to 30% savings on transportation costs by accumulating mileage based on walking or cycling distances and records data on first- and last-mile trips. A case study at Gangnam Station in Seoul, Korea analyzed combined transit transfer patterns during morning peak and evening peak hours at Gangnam Station by constructing multinomial logit model. The models focused on between two transit modes since the MTC data reported that the average transfer frequency of 1.32 for public transportation users in the Seoul metropolitan area. The four-transit mode combinations such as ‘Metro to Bus’, ‘Metro to Metro’, ‘Bus to Bus’, and ’ Bus to Metro’ were set as choice variables. The results show that during the morning peak hours, ‘Bus to Metro (BtoM)’ combination is mostly preferred, while the ‘Metro to Bus (MtoB)’ combination is favored in the evening. Morning commuters are more sensitive to time and costs than evening commuters. By identifying preferred transportation combinations for each time period, policymakers develop appropriate planning for public transportation services.
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