Valuations of travel time variability in scheduling versus mean-variance models

151 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Passenger Perspectives in Railway Timetabling: A Literature Review (2016, background): “An inherent disutility (interpreted as an anxiety cost or a cost associated with the need for contingency plans) was associated with the uncertainty (Börjesson et al., 2012).”
Travel through time: the story of research on travel time reliability (2013, background): “Susilawati, Taylor, and Somenahalli (in press) showed that the Burr distribution (Burr 1942) can well represent the skewness of observed data. This distribution also offers an attractive property, in that its cumulative density (cdf) and probability density (pdf) functions are algebraically tractabl”
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).”