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

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Title: Exploring the drivers of light rail ridership : an empirical route level analysis of selected Australian, North American and European systems
Authors: Currie, Graham
Ahern, Aoife
Delbosc, Alexa
Permanent link: http://hdl.handle.net/10197/2879
Date: 2011
Online since: 2011-03-30T10:37:50Z
Abstract: 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. The research shows that European light rail route ridership (per route km) was on average a third higher than on US routes and about double the ridership on Australian routes. 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 5 significant variables including, in order of influence Service Level (β = .74), Routes being in Europe (β = .72), Speed (β = -.40), Integrated ticketing (β = .24) and Employment density (β = .24). Service Level (measured in terms of Vehicle trips p.a.) and Being in Europe were the primary explanatory ridership drivers. 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 of .64) with 5 significant explanatory variables including (in order of strength) Being in Europe (β = .97), Speed (β = -.48), Integrated ticketing (β = .32), Employment density (β = .28) and Service level (β = .17). 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.
Funding Details: Not applicable
Type of material: Journal Article
Publisher: Springer
Journal: Transportation
Volume: 38
Issue: 3
Start page: 545
End page: 560
Copyright (published version): 2010 Springer Science+Business Media, LLC.
Keywords: Light railRidershipPatronage levelsService levels
Subject LCSH: Street-railroads
Choice of transportation--Mathematical models
Local transit--Ridership--Mathematical models
DOI: 10.1007/s11116-010-9314-9
Other versions: http://dx.doi.org/10.1007/s11116-010-9314-9
Language: en
Status of Item: Peer reviewed
Appears in Collections:Urban Institute Ireland Research Collection
Critical Infrastructure Group Research Collection
Architecture, Planning and Environmental Policy Research Collection
Civil Engineering Research Collection

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