Uncovering the Distribution of Motorists' Preferences for Travel Time and Reliability
By Kenneth Small, Clifford Winston, Jia Yan. 2005
694 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Transportation
View Paper: https://www.semanticscholar.org/paper/1982548235c4f6191be5dfc1411207705edf51af
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Kenneth Small
- Mogens Fosgerau
- Erik T. Verhoef
- Daisuke Fukuda
- Leonid Engelson
- David Brownstone
- Bruno De Borger
- J. V. van Ommeren
In Transportation
- Kenneth Small
- Mogens Fosgerau
- J. V. van Ommeren
- Erik T. Verhoef
- Daisuke Fukuda
- Richard Arnott
- David M Levinson
- Carlos Carrion
Citations in the corpus
- What Can Be Learned from Spatial Economics? (2019, neutral): “However, the empirical evidence suggests that individuals are heterogeneous in their travel time values (Small, Winston, and Yan 2005).”
- The Composite Marginal Likelihood (CML) Inference Approach with Applications to Discrete and Mixed Dependent Variable Models (2014, neutral): “…well known that using non-normal distributions can lead to convergence/computational problems, and it is not uncommon to see researchers consider non-normal distributions only to eventually revert to the use of a normal distribution (see, for example, Bartels et al., 2006 and Small et al., 2005).”
- 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, neutral): “Tseng (2004) and Small et al. (2005) also discuss the fact that SP studies underestimate the savings compared to RP studies.”
- Using revealed preferences to estimate the Value of Travel Time to recreation sites (2014, neutral): “…estimating the VTT within a recreation demand model without including any further stated preference information (e.g. McConnell and Strand, 1981) is problematic because of the high correlation between the travel-cost and travel-time variables (e.g. Haab and McConnell, 2002; Small et al., 2005).”
- Value of Travel Time Reliability: A Review of Current Evidence (2010, methodology): “Readers may refer also to Yan (2002) for a very detailed account of Small et al. (2005) and Small et al. (2006).”
- Driving to opportunity local rents, wages, commuting costs and sub-metropolitan quality of life (2015, methodology): “This value is supported by evidence from Small et al. (2005), from stated and revealed preference, and Fu and Ross (2013), from wage gradients, that commuting is not preferred to working.”
- Congestion tolling with agglomeration externalities (2007, background): “Empirical estimates (Small, Winston, and Yan [ 33 ] is the state-of-the-art study) however find that the value of travel time is about onehalf the wage rate.”
- Valuing travel time variability: Characteristics of the travel time distribution on an urban road (2012, methodology): “…the standard deviation or some11 other measure of the scale of travel time variability as an argument, jointly with mean travel time.12 Because of its simplicity, the mean–variance approach has been widely used (Small et al. 2005;13 Brownstone and Small 2005; Lam and Small 2001, among others).”
- The Real Price of Parking Policy (2011, neutral): “In addition, cruising creates uncertainty about the total travel time, which is known to create 3 additional costs (e.g., Small et al., 2005).”
- The Generalized Multinomial Logit Model: Accounting for Scale and Coefficient Heterogeneity (2010, neutral): “Even when other distributions have been considered, computational problems have often led researchers to revert back to a normality assumption (see, e.g., Bartels et al. 2006, Small et al. 2005 ).”
- Optimal Distance Tolls under Congestion Pricing and Continuously Distributed Value of Time (2012, background): “To reflect this variation, it is more rational to formulate the VOT as a continuously distributed random variable rather than a fixed (mean) value (Verhoef and Small, 2004; Small et al., 2005; van den Berg and Verhoef, 2011).”