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Factors that Influence Urban Streetcar Ridership in the United States

机译:在美国影响城市有轨电车驾驶的因素

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A number of streetcar lines, designed to serve as urban circulators, have been completed in thepast 15 years in the United States. Many more are either in the implementation or planningstages. Much of the previous literature on fixed-guideway ridership forecasting focuses on lightrail or regional rail lines that primarily serve commute markets, much different than the travelmarkets served by these new streetcar lines. This research seeks to improve the understanding ofthe factors that influence urban streetcar ridership. Extensive data on ridership, station areacharacteristics, route configuration, transit network connectivity and special generators werecollected for modern streetcar lines in Portland, Oregon; Seattle, Washington; and Tacoma,Washington.Regression models were used to measure the influence of different variables onridership. Three urban streetcar ridership models are presented with adjusted R Squared valuesranging from 0.74 to 0.76. Variables found to have a statistically significant influence onstreetcar ridership include feeder rail, retail and residential accessibility, distance to closeststation, free stations, start-of-line stations, and special generators including hotels, colleges,hospitals and entertainment centers.
机译:设计用作城市循环器的许多有轨电车线路已经完成。 在美国过去15年。正在实施或计划中的还有更多 阶段。先前有关固定轨道交通出行率预测的许多文献都集中在轻型飞机上 主要服务于通勤市场的铁路或区域性铁路,与旅行有很大不同 这些新的有轨电车线路服务的市场。这项研究旨在增进对 影响城市有轨电车使用率的因素。有关乘车人数,车站区域的大量数据 特性,路由配置,转接网络连接和特殊生成器 收集俄勒冈州波特兰市的现代有轨电车线路;华盛顿西雅图;还有塔科马 华盛顿。 回归模型用于衡量不同变量对 乘客。提出了三种具有调整后的R平方值的城市有轨电车乘车模型 从0.74到0.76。发现对统计有重大影响的变量 路面电车服务包括接驳轨道,零售和住宅可达性,最近的距离 站,免费站,线下站和特殊发电机,包括酒店,大学, 医院和娱乐中心。

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