Estimating exponential scheduling preferences

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Estimating exponential scheduling preferences. / Hjorth, Katrine; Börjesson, Maria; Engelson, Leonid; Fosgerau, Mogens.

I: Transportation Research Part B: Methodological, Bind 81, 02.12.2013.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Hjorth, K, Börjesson, M, Engelson, L & Fosgerau, M 2013, 'Estimating exponential scheduling preferences', Transportation Research Part B: Methodological, bind 81. https://doi.org/10.1016/j.trb.2015.03.014

APA

Hjorth, K., Börjesson, M., Engelson, L., & Fosgerau, M. (2013). Estimating exponential scheduling preferences. Transportation Research Part B: Methodological, 81. https://doi.org/10.1016/j.trb.2015.03.014

Vancouver

Hjorth K, Börjesson M, Engelson L, Fosgerau M. Estimating exponential scheduling preferences. Transportation Research Part B: Methodological. 2013 dec. 2;81. https://doi.org/10.1016/j.trb.2015.03.014

Author

Hjorth, Katrine ; Börjesson, Maria ; Engelson, Leonid ; Fosgerau, Mogens. / Estimating exponential scheduling preferences. I: Transportation Research Part B: Methodological. 2013 ; Bind 81.

Bibtex

@article{e0139807a7614949be937e9a2021902a,
title = "Estimating exponential scheduling preferences",
abstract = "Different assumptions about travelers' scheduling preferences yield different measures of the cost of travel time variability. Only few forms of scheduling preferences provide non-trivial measures which are additive over links in transport networks where link travel times are arbitrarily distributed independent random variables: Assuming smooth preferences, this holds only for specifications with a constant marginal utility of time at the origin and an exponential or affine marginal utility of time at the destination. We apply a generalized version of this model to stated preference data of car drivers' route and mode choice under uncertain travel times. Our analysis exposes some important methodological issues related to complex non-linear scheduling models: One issue is identifying the point in time where the marginal utility of being at the destination becomes larger than the marginal utility of being at the origin. Another issue is that models with the exponential marginal utility formulation suffer from empirical identification problems. Though our results are not decisive, they partly support the constant-affine specification, in which the value of travel time variability is proportional to the variance of travel time.",
keywords = "Scheduling preferences, Stated preference data, Travel time variability",
author = "Katrine Hjorth and Maria B{\"o}rjesson and Leonid Engelson and Mogens Fosgerau",
year = "2013",
month = dec,
day = "2",
doi = "10.1016/j.trb.2015.03.014",
language = "English",
volume = "81",
journal = "Transportation Research. Part B: Methodological",
issn = "0191-2615",
publisher = "Pergamon Press",

}

RIS

TY - JOUR

T1 - Estimating exponential scheduling preferences

AU - Hjorth, Katrine

AU - Börjesson, Maria

AU - Engelson, Leonid

AU - Fosgerau, Mogens

PY - 2013/12/2

Y1 - 2013/12/2

N2 - Different assumptions about travelers' scheduling preferences yield different measures of the cost of travel time variability. Only few forms of scheduling preferences provide non-trivial measures which are additive over links in transport networks where link travel times are arbitrarily distributed independent random variables: Assuming smooth preferences, this holds only for specifications with a constant marginal utility of time at the origin and an exponential or affine marginal utility of time at the destination. We apply a generalized version of this model to stated preference data of car drivers' route and mode choice under uncertain travel times. Our analysis exposes some important methodological issues related to complex non-linear scheduling models: One issue is identifying the point in time where the marginal utility of being at the destination becomes larger than the marginal utility of being at the origin. Another issue is that models with the exponential marginal utility formulation suffer from empirical identification problems. Though our results are not decisive, they partly support the constant-affine specification, in which the value of travel time variability is proportional to the variance of travel time.

AB - Different assumptions about travelers' scheduling preferences yield different measures of the cost of travel time variability. Only few forms of scheduling preferences provide non-trivial measures which are additive over links in transport networks where link travel times are arbitrarily distributed independent random variables: Assuming smooth preferences, this holds only for specifications with a constant marginal utility of time at the origin and an exponential or affine marginal utility of time at the destination. We apply a generalized version of this model to stated preference data of car drivers' route and mode choice under uncertain travel times. Our analysis exposes some important methodological issues related to complex non-linear scheduling models: One issue is identifying the point in time where the marginal utility of being at the destination becomes larger than the marginal utility of being at the origin. Another issue is that models with the exponential marginal utility formulation suffer from empirical identification problems. Though our results are not decisive, they partly support the constant-affine specification, in which the value of travel time variability is proportional to the variance of travel time.

KW - Scheduling preferences

KW - Stated preference data

KW - Travel time variability

UR - http://www.scopus.com/inward/record.url?scp=84956604239&partnerID=8YFLogxK

U2 - 10.1016/j.trb.2015.03.014

DO - 10.1016/j.trb.2015.03.014

M3 - Journal article

AN - SCOPUS:84956604239

VL - 81

JO - Transportation Research. Part B: Methodological

JF - Transportation Research. Part B: Methodological

SN - 0191-2615

ER -

ID: 181871867