• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Transportation >Modeling park-and-ride location choice of heterogeneous commuters
【24h】

Modeling park-and-ride location choice of heterogeneous commuters

机译：建模异类通勤者的上下车位置选择

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

There is extensive literature on drive-to-transit trips, yet very few studies focus on commuters' park-and-ride location choice decisions. This study investigates park-and-ride location choice behavior of heterogeneous commuters in the Austin Metropolitan Statistical Area. Data from a transit on-board survey conducted by Capital Metro in 2010 were used. Besides, schedule-based transit networks and a detailed regional highway network were used to calculate path attributes. A thorough analysis on the choice set generation was conducted, and two criteria were used to determine the most appropriate park-and-ride choice set for each observed trip. Finally, user heterogeneity was accounted by adding interaction terms in the utility functions and by using mixed logit models. Empirical models reveal that designation of a park-and-ride facility by transit agency and the frequency of transit paths to destination have the highest positive effect, while transit transfers, auto travel time, and walking time have the most significant negative impact on the utility of a park-and-ride location. More specifically, correlation analysis reveals that travelers who are more likely to be motivated by short auto travel time are also more likely to be motivated by few transfers and short walking time. In addition, this study implies that non-Caucasians prefer higher fraction of their auto path on freeways; and commuters with higher income are less motivated by high transit service frequency. The estimated models in this study can have immediate application in travel forecasting, specifically for drive-to-transit trip assignment, as well as in setting policy for park-and-rides service design.
机译：关于过境旅行的文献很多，但很少有研究关注通勤者的停车和乘车位置选择决策。这项研究调查了奥斯汀都市统计区中异类通勤者的停车和乘车位置选择行为。使用了由首都地铁在2010年进行的公交车上调查数据。此外，还使用基于计划的公交网络和详细的区域公路网来计算路径属性。对选择集的生成进行了彻底的分析，并使用两个标准来确定每个观察到的行程最合适的停车和骑行选择集。最后，通过在效用函数中添加交互项以及使用混合Logit模型来解决用户异质性问题。经验模型表明，公交机构指定的停车和乘车设施以及通往目的地的公交路径的频率具有最大的积极影响，而公交换乘，自动出行时间和步行时间对公用事业的负面影响最大。停车地点。更具体地说，相关性分析显示，更可能因短途汽车旅行而受到激励的旅行者也更可能因很少的换乘和较短的步行时间而受到激励。此外，这项研究表明，非高加索人更喜欢高速公路上较高比例的自动行车路线；高收入的通勤者较少受到高频率的公交服务的激励。本研究中的估计模型可以立即用于旅行预测中，特别是对于驾车到过境旅行的分配，以及在制定停车和乘车服务设计的策略中。

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