Willingness to pay for travel time reliability in passenger transport: A review and some new empirical evidence

By Zheng Li, David A. Hensher, John M. Rose. 2010

423 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Transportation

View Paper: https://www.semanticscholar.org/paper/a6938dd95f4a0ca24bb8f4790d41eebcde56c35a

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Citations in the corpus

Valuation of Travel Time (2012, background): “How big is VOR? Li et al. (2010) review both theoretical and empirical aspects of value of reliability.”
The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models (2011, background): “…error terms that generate error dependencies across the choice occasions of the same decision-maker in panel or repeated choice contexts (see Li et al., 2010), (c) spatial/social dependency-based error structure models that generate error dependencies across choice occasions of different…”
Temporal and weather related variation patterns of urban travel time: Considerations and caveats for value of travel time, value of variability, and mode choice studies (2014, background): “Hensher (2010) discusses theoretical and practical aspects of SP and RP differences in detail, as well as the impacts of perception.”
Using revealed preferences to estimate the Value of Travel Time to recreation sites (2014, neutral): “9 In line with most RP analyses we do not consider the effect of possible road congestion, which is commonly referred to as the “travel time reliability” and typically investigated using SP data (e.g. Li et al., 2010) or by combining RP and SP information (e.g. Small et al., 2005).”
Travel through time: the story of research on travel time reliability (2013, background): “Li, Hensher, and Rose (2010) reviewed the modelling frameworks used to obtain WTP for improvements in travel time reliability in a study of reliability ratios and scheduling costs for Australian toll roads.”
The bottleneck model: An assessment and interpretation (2015, background): “2 See Small and Verhoef (2007), Section 4.”
Crowding in public transport systems: Effects on users, operation and implications for the estimation of demand (2013, background): “…time, because a higher variability in travel times is negatively valued by travellers as shown by the growing body of research on the valuation of travel time variability and reliability (e.g., Senna, 1994; Bates et al., 2001; Bhat and Sardesai, 2006; Li et al., 2010; Börjesson et al., 2012).”