479.575 PEOPLE
| People | Locations | Statistics |
|---|---|---|
| Ziakopoulos, Apostolos | Athens |
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| Vigliani, Alessandro | Turin |
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| Catani, Jacopo | Rome |
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| Statheros, Thomas | Stevenage |
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| Utriainen, Roni | Tampere |
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| Guglieri, Giorgio | Turin |
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| Martínez Sánchez, Joaquín |
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| Tobolar, Jakub |
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| Volodarets, M. |
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| Piwowar, Piotr |
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| Tennoy, Aud | Oslo |
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| Matos, Ana Rita |
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| Cicevic, Svetlana |
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| Sommer, Carsten | Kassel |
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| Liu, Meiqi |
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| Pirdavani, Ali | Hasselt |
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| Niklaß, Malte |
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| Lima, Pedro | Braga |
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| Turunen, Anu W. |
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| Antunes, Carlos Henggeler |
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| Krasnov, Oleg A. |
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| Lopes, Joao P. |
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| Turan, Osman |
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| Lučanin, Vojkan | Belgrade |
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| Tanaskovic, Jovan |
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Wardman, Mark R
in Cooperation with on an Cooperation-Score of 37%
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Publications (24/24 displayed)
- 2022The demand impacts of train punctuality in great britain: systematic review, meta-analysis and some new econometric insightscitations
- 2021The use of recovery time in timetables: rail passengers’ preferences and valuation relative to travel time and delays
- 2020Is generalised cost justified in travel demand analysis?citations
- 2020The valuation and demand impacts of the worthwhile use of travel time with specific reference to the digital revolution and endogeneitycitations
- 2019New appraisal values of travel time saving and reliability in Great Britaincitations
- 2019The impact of planned disruptions on rail passenger demandcitations
- 2017Triggers of Urban Passenger Mode Shift – State of the Art and Model Evidencecitations
- 2017Cost and time damping: evidence from aggregate rail direct demand modelscitations
- 2016The digital revolution and worthwhile use of travel time: Implications for appraisal and forecastingcitations
- 2015International meta-analysis of stated preference studies of transportation noise nuisancecitations
- 2014Travel time reliability: a review of late time valuations, elasticities and demand impacts in the passenger rail market in Great Britaincitations
- 2013Non-linearities, stigma and self-selection influencing the values of noise nuisance
- 2012Review and meta-analysis of U.K. time elasticities of travel demandcitations
- 2012Theoretically consistent temporal ordering specification in spatial hedonic pricing models applied to the valuation of aircraft noisecitations
- 2011The congestion multiplier: Variations in motorists’ valuations of travel time with traffic conditionscitations
- 2011Valuing Aircraft Noisecitations
- 2011Valuing Aircraft Noise: Stated Choice Experiments Reflecting Inter-Temporal Noise Changes from Airport Relocationcitations
- 2009The alimos effect: Nonlinearities, stigma and tolerance reflected in aircraft noise values
- 2008Estimation of the determinants of bicycle mode share for the journey to work using census data citations
- 2008Amending the Incentive for Strategic Bias in Stated Preference Studiescitations
- 2007Valuations of aircraft noise: experiments in stated preferencecitations
- 2006Stated choice valuation of traffic related noisecitations
- 2002Demand for rail travel to and from airportscitations
- 2001Public transport values of time
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document
Travel time reliability: a review of late time valuations, elasticities and demand impacts in the passenger rail market in Great Britain
Abstract
This paper provides an extensive review and reconciliation of British and European evidence relating to the value of, and demand responses to, rail reliability. In particular, we compare the elasticities implied by stated preference valuations of late time with directly estimated lateness elasticities. We find that the implied lateness elasticities are substantially greater than those directly estimated. A possible explanation for this is that lateness has been over-valued, but more sobering explanations would be to suggest that, whilst rail travellers dislike unreliability, they may be unwilling or unable to reduce their rail travel in response to experiences of poor performance, or else conventional economic approaches to deducing elasticities are not appropriate. The findings have been used to update the recommendations of the UK rail industry’s Passenger Demand Forecasting Handbook.
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