Exploring Variation in Built Environment Predictors of Ridership by Transit Mode (Paper No: 20-01322)
Laura Aston
Graham Currie
MD Kamruzzaman
Alexa Delbosc
Nicholas Fournier
David Teller
10.26180/5de6e60d8aab7
https://bridges.monash.edu/articles/presentation/Exploring_Variation_in_Built_Environment_Predictors_of_Ridership_by_Transit_Mode_Paper_No_20-01322_/11312564
<p>Supplementary presentation to support poster presented at Transportation Research Board Annual Meeting, 2020.</p><p><br></p><p><b>Presentation details:</b></p><p>Session:
1695, Current Topics in Public Transportation<br>
Session Location: Hall A / Convention Center<br>
Session Time: Wednesday, Jan 15, 2020 8:00AM 9:45AM<br>
Paper: 20-01322 - Exploring Variation in Built Environment
Predictors of Ridership by Transit Mode<i></i></p><p><br></p><p><b>Presentation Abstract:</b><br></p><p>Many studies have identified links between
the built environment and transit use. However, little is known about whether
the built environment predictors of bus, train, tram and other transit services
are different. Studies to date typically analyze modes in aggregate, by combining
bus, train, and tram; or analyze each mode separately. Findings from these
studies demonstrate the built environment attributes that are relevant for
apportioning trips to transit. However, they do not differentiate demand for competing
modes. This study aims to investigate if built environment impacts on transit
ridership vary according to mode, by analyzing two types of co-located
(matched) transit modes (train-bus and tram-bus) in Melbourne. Multivariate
multiple linear regression models were estimated to identify the relationships
between different indicators of the built environment with patronage of each
mode.</p>
<p>This research
indicates built environment impacts on ridership vary in type and relative
importance according to mode. The strongest land use predictor of train
ridership was proximity to the CBD, while bus ridership was most closely
associated with the presence of Activity Centres in the catchment. Tram and bus
ridership shared no built environment predictors, with land use diversity the
strongest predictor for tram use, compared to intersection density for bus. These
differences provide evidence that built environment impacts on transit cannot
be generalized for all modes. The study’s findings suggest that strategies to
encourage transit use could be made more effective if they are differentiated by
mode.</p>
2019-12-03 22:48:54
Public Transportation
public transport
Urban transportation
land use
Built environment
Transportation Research Board
transit
multivariate multiple regression
Demand forecasting
transit ridership
Rail Transportation and Freight Services
Transport Planning
Transport Economics
Transport Engineering
Civil Engineering not elsewhere classified
Economic Models and Forecasting