Modeling of household vehicle type choice accommodating spatial dependence effects

Rajesh Paleti, Chandra R. Bhat, Ram M. Pendyala, Konstadinos G. Goulias

Research output: Contribution to journalArticle

12 Citations (Scopus)

Abstract

Household vehicle ownership and fleet composition are choice dimensions that have important implications for policy making, particularly in the arena of energy and environmental sustainability. In the context of household vehicle ownership and type choice, it is conceivable that substantial spatial interaction effects are caused by both observed and unobserved factors. A multinomial probit model formulation is presented: it incorporates spatial spillover effects arising from both observed and unobserved factors. The model is estimated on the California add-on data set of the 2009 National Household Travel Survey. Model estimation results show that spatial dependency effects are statistically significant. The findings have important implications for model development and application in policy forecasting.

Original languageEnglish (US)
Pages (from-to)86-94
Number of pages9
JournalTransportation Research Record
Volume2343
DOIs
StatePublished - Jan 1 2013

Fingerprint

Sustainable development
Chemical analysis

All Science Journal Classification (ASJC) codes

  • Civil and Structural Engineering
  • Mechanical Engineering

Cite this

Paleti, Rajesh ; Bhat, Chandra R. ; Pendyala, Ram M. ; Goulias, Konstadinos G. / Modeling of household vehicle type choice accommodating spatial dependence effects. In: Transportation Research Record. 2013 ; Vol. 2343. pp. 86-94.
@article{47ddc09bf2f044d8b9e0a4837a08012e,
title = "Modeling of household vehicle type choice accommodating spatial dependence effects",
abstract = "Household vehicle ownership and fleet composition are choice dimensions that have important implications for policy making, particularly in the arena of energy and environmental sustainability. In the context of household vehicle ownership and type choice, it is conceivable that substantial spatial interaction effects are caused by both observed and unobserved factors. A multinomial probit model formulation is presented: it incorporates spatial spillover effects arising from both observed and unobserved factors. The model is estimated on the California add-on data set of the 2009 National Household Travel Survey. Model estimation results show that spatial dependency effects are statistically significant. The findings have important implications for model development and application in policy forecasting.",
author = "Rajesh Paleti and Bhat, {Chandra R.} and Pendyala, {Ram M.} and Goulias, {Konstadinos G.}",
year = "2013",
month = "1",
day = "1",
doi = "10.3141/2343-11",
language = "English (US)",
volume = "2343",
pages = "86--94",
journal = "Transportation Research Record",
issn = "0361-1981",
publisher = "US National Research Council",

}

Modeling of household vehicle type choice accommodating spatial dependence effects. / Paleti, Rajesh; Bhat, Chandra R.; Pendyala, Ram M.; Goulias, Konstadinos G.

In: Transportation Research Record, Vol. 2343, 01.01.2013, p. 86-94.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Modeling of household vehicle type choice accommodating spatial dependence effects

AU - Paleti, Rajesh

AU - Bhat, Chandra R.

AU - Pendyala, Ram M.

AU - Goulias, Konstadinos G.

PY - 2013/1/1

Y1 - 2013/1/1

N2 - Household vehicle ownership and fleet composition are choice dimensions that have important implications for policy making, particularly in the arena of energy and environmental sustainability. In the context of household vehicle ownership and type choice, it is conceivable that substantial spatial interaction effects are caused by both observed and unobserved factors. A multinomial probit model formulation is presented: it incorporates spatial spillover effects arising from both observed and unobserved factors. The model is estimated on the California add-on data set of the 2009 National Household Travel Survey. Model estimation results show that spatial dependency effects are statistically significant. The findings have important implications for model development and application in policy forecasting.

AB - Household vehicle ownership and fleet composition are choice dimensions that have important implications for policy making, particularly in the arena of energy and environmental sustainability. In the context of household vehicle ownership and type choice, it is conceivable that substantial spatial interaction effects are caused by both observed and unobserved factors. A multinomial probit model formulation is presented: it incorporates spatial spillover effects arising from both observed and unobserved factors. The model is estimated on the California add-on data set of the 2009 National Household Travel Survey. Model estimation results show that spatial dependency effects are statistically significant. The findings have important implications for model development and application in policy forecasting.

UR - http://www.scopus.com/inward/record.url?scp=84958136855&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84958136855&partnerID=8YFLogxK

U2 - 10.3141/2343-11

DO - 10.3141/2343-11

M3 - Article

VL - 2343

SP - 86

EP - 94

JO - Transportation Research Record

JF - Transportation Research Record

SN - 0361-1981

ER -