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

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Download Final paper - Light rail ridership_new.pdf366.63 KB
Author(s)
Currie, Graham 
Ahern, Aoife 
Delbosc, Alexa 
Uri
http://hdl.handle.net/10197/2879
Date Issued
2011
Date Available
30T10:37:50Z March 2011
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.
Sponsorship
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 rail

  • Ridership

  • Patronage levels

  • Service levels

Subject – LCSH
Street-railroads
Choice of transportation--Mathematical models
Local transit--Ridership--Mathematical models
DOI
10.1007/s11116-010-9314-9
Web versions
http://dx.doi.org/10.1007/s11116-010-9314-9
Language
English
Status of Item
Peer reviewed
ISSN
0049-4488 (Print)
1572-9435 (Online)
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
Owning collection
Civil Engineering Research Collection
Scopus© citations
36
Acquisition Date
Mar 31, 2023
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1937
Acquisition Date
Mar 31, 2023
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