Barriers to Passenger Rail Use: A Review of the Evidence

Blainey, Simon; Hickford, Adrian; Preston, John

doi:10.1080/01441647.2012.743489

Cited by 49 publications

(37 citation statements)

References 48 publications

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“…The positive effect of frequency and current use of transfers on intention indicates that positive control beliefs are related to regular use of PT. Such finding is consistent with past studies which have shown that the transfer penalties given by infrequent PT users tends to be higher than those given by regular users [7,24]. Regular PT users tend to be more familiar with the system and therefore are less likely to face uncertainties when transferring [7].…”

Section: Discussion Of Resultssupporting

confidence: 81%

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A Psychological Investigation on Public-transport Users’ Intention to Use Routes with Transfers

Chowdhury¹,

Ceder²

2013

IJT

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Section: Discussion Of Resultssupporting

confidence: 81%

“…Personal safety at stations has been revealed to be the most sensitive factor in travelers' decision to use PT [19,[21][22][23]. Travel time has been revealed to be another significant determinant of mode and route choice [24]. As such, missed connections and delays were shown to cause anxiety to the user [25].…”

Section: Trip Attributes Related To Transfersmentioning

confidence: 99%

A Psychological Investigation on Public-transport Users’ Intention to Use Routes with Transfers

Chowdhury¹,

Ceder²

2013

IJT

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“…On average, the service effectiveness of stations that are located in the Greater London area are 0.35 (the regression coefficient) more than other stations. This is perfectly reasonable as "barriers to passenger rail use" (Blainey, Hickford, & Preston, 2012) are far less compared to other parts of the country.…”

Section: Tobit Regressionmentioning

confidence: 94%

Evaluating efficiency of passenger railway stations: A DEA approach

Sameni

Preston

Sameni

2016

Research in Transportation Business & Management

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Stations are bottlenecks for railway transportation as they are where traffics merge and diverge. Numerous activities such as passengers boarding, alighting and interchanging, train formation and technical checks are also done at these points. The number of platforms is limited and it is vital to do all the work efficiently. For the first time in the literature, we implement a methodology based on data envelopment analysis which is benchmarked from ports and airport efficiency studies. It can help policy makers and practitioners to rank stations in terms of efficiency and take more informative decisions. The proposed methodology can analyse the relative 'technical efficiency' of stations to handle train stops with existing station capacity. The second stage model analyses 'service effectiveness' to identify how well train stops at a station are transformed into the number of passenger entries, exits and interchanges, taking into account catchment area population and job opportunities. The models are applied to a case study of the 96 busiest train stations in Great Britain and are followed up by two Tobit regressions to assess the effect of traffic type and location on the results.

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“…Besides the travel time, different factors may affect mode substitutability: emotional associations may play a role (Bennett et al, 1957), as well as cultural/ personal mode preferences (IATA, 2003). Habit may also form a significant barrier to mode shift, as past mode choices are a strong predictor of current mode choice (Blainey et al, 2012;Thøgersen, 2006). Larger values of b indicate more substitutable services: b is zero when the two modes are independent and it is equal to one when they are perfect substitutes.…”

Section: Introductionmentioning

confidence: 98%