...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Transportation >An analysis of Metro ridership at the station-to-station level in Seoul
【24h】

An analysis of Metro ridership at the station-to-station level in Seoul

机译：首尔站到站级别的地铁乘客量分析

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

While most aggregate studies of transit ridership are conducted at either the stop or the route level, the present study focused on factors affecting Metro ridership in the Seoul metropolitan area at the station-to-station level. The station-to-station analysis made it possible to distinguish the effect of origin factors on Metro ridership from that of destination factors and to cut down the errors caused by the aggregation of travel impedance-related variables. After adopting two types of direct-demand patronage forecasting models, the multiplicative model and the Poisson regression model, the former was found to be superior to the latter because it clearly identified the negative influences of competing modes on Metro ridership. Such results are rarely found with aggregate level analyses. Moreover, the importance of built environment in explaining Metro demand was confirmed by separating built environment variables for origin and destination stations and by differentiating ridership by the time of day. For morning peak hours, the population-related variables of the origin stations played a key role in accounting for Metro ridership, while employment-related variables prevailed in destination stations. In evening peak hours, both employment- and population-related variables were significant in accounting for the Metro ridership at the destination station. This showed that a significant number of people in the Seoul metropolitan area appear to take various non-home-based trips after work, which is consistent with the results from direct household travel surveys.
机译：虽然大多数过境乘车人的总体研究都是在站点或路线层面上进行的，但本研究的重点是在车站到车站层面上影响首尔大都市地区地铁乘车人的因素。站到站的分析可以区分起源因素对地铁乘车人的影响与目的地因素的影响，并减少由旅行阻抗相关变量的汇总所引起的误差。在采用乘积模型和泊松回归模型这两种直接需求量的乘客预测模型之后，发现前者优于后者，因为它清楚地确定了竞争模式对地铁乘车率的负面影响。总体水平分析很少发现这种结果。此外，通过将始发站和目的地站的建成环境变量分开，并在一天中区分乘车人数，可以确认建成环境在解释地铁需求方面的重要性。在早晨的高峰时段，始发站的人口相关变量在计算地铁乘车人数方面起着关键作用，而与就业相关的变量在目的站中占主导地位。在傍晚的高峰时段，与就业和人口相关的变量都对目的地车站的地铁乘车率产生了重要影响。这表明，首尔市区的很多人下班后似乎会进行各种非家庭旅行，这与直接家庭旅行调查的结果一致。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号