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Exploring the drivers of light rail ridership: an empirical route level analysis of selected Australian, North American and European systems

机译:探索轻轨乘客的驱动力:对某些澳大利亚,北美和欧洲系统进行的经验路线水平分析

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摘要

This paper explores the relative influence of factors affecting light rail ridership on 57 light rail routes in Australia, Europe and North America through an empirical examination of route level data. Previous research suggests a wide range of possible ridership drivers but is mixed in clarifying major influences. A multiple-regression analysis of route level ridership (boardings per route km) and catchment residential and employment density, car ownership, service level, speed, stop spacing, share of accessible stops, share of segregated right of away and integrated fares was undertaken. This established a statistically significant model (99% level, R2 = 0.76) with five significant variables including service level, routes being in Europe, speed, integrated ticketing and employment density. In general these findings support selected results from previous research. A secondary analysis of service effectiveness measures (boardings/vehicle km, i.e. the relative ridership performance for a given level of service), established a statistically significant model (99% level, R2 = 0.67) with 6 significant explanatory variables including being in Europe, speed, employment density, integrated ticketing, track segregation and service level. The latter implies that a higher frequency results in higher service effectiveness. Overall the research findings stress the importance of providing a high level of service as a major driver of light rail ridership. The 'European Factor' is also an important though intriguing influence but its cause remains unclear and requires further research to elaborate its nature.
机译:本文通过对路线水平数据的实证研究,探讨了影响轻轨乘车率的因素对澳大利亚,欧洲和北美的57条轻轨路线的相对影响。先前的研究表明,可能存在多种多样的乘车司机,但在澄清主要影响因素方面参差不齐。进行了多层次分析,分析了路线水平的乘车率(每条路线公里的登机次数)以及流域居民和就业密度,汽车拥有量,服务水平,速度,停靠站间距,可到达的停靠站所占份额,分开的离开权和综合票价。这建立了具有统计意义的模型(99%的水平,R2 = 0.76),具有五个重要变量,包括服务水平,欧洲航线,速度,综合票务和就业密度。总的来说,这些发现支持了先前研究的部分结果。对服务有效性指标(登机/车辆公里数,即给定服务水平下的相对乘车性能)进行了二次分析,建立了具有统计学意义的模型(99%的水平,R2 = 0.67),其中包括6个重要的解释变量,包括在欧洲,速度,就业密度,综合票务,轨道隔离和服务水平。后者意味着更高的频率会导致更高的服务效率。总体而言,研究结果强调了提供高水平服务作为轻便铁路出行的主要驱动力的重要性。尽管影响深远,“欧洲因素”也是重要的,但其原因尚不清楚,需要进一步研究以阐明其性质。

著录项

  • 来源
    《Transportation》 |2011年第3期|p.545-560|共16页
  • 作者

    G. Currie; A. Ahern; A. Delbosc;

  • 作者单位

    Department of Civil Engineering, Institute of Transport Studies, Monash University, Building 60, Clayton, VIC 3800, Australia;

    School of Architecture, Landscape and Civil Engineering, University College Dublin,Newstead Building, Belfield, Dublin 4, Ireland;

    Department of Civil Engineering, Institute of Transport Studies, Monash University, Building 60, Clayton, VIC 3800, Australia;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    light rail; patronage levels; service levels;

    机译:轻轨列车;顾客数量;服务水平;

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