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    Vehicle Ownership Modeling Framework for the State of Maryland: Analysis and Trends from 2001 and 2009 NHTS Data

    Source: Journal of Urban Planning and Development:;2013:;Volume ( 139 ):;issue: 001
    Author:
    Cinzia Cirillo
    ,
    Yangwen Liu
    DOI: 10.1061/(ASCE)UP.1943-5444.0000128
    Publisher: American Society of Civil Engineers
    Abstract: This paper presents a vehicle ownership modeling framework for the state of Maryland estimated on data extracted from the 2001 and 2009 National Household Travel Survey. The framework consists of vehicle ownership models and vehicle usage models; the models are based on a wide variety of sociodemographics, land-use variables, and operating cost. The models’ results and the deriving sensitivity analyses show that changes in income and unemployment rate or compact development have little effect on vehicle ownership rates. Nevertheless, the combined effect of high density and increase in fuel cost produce a significant reduction in vehicle usage. The vehicle ownership model estimated on 2001 data has been successfully incorporated into the Maryland Statewide Transportation Model (MSTM).
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      Vehicle Ownership Modeling Framework for the State of Maryland: Analysis and Trends from 2001 and 2009 NHTS Data

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    contributor authorCinzia Cirillo
    contributor authorYangwen Liu
    date accessioned2017-05-08T22:02:55Z
    date available2017-05-08T22:02:55Z
    date copyrightMarch 2013
    date issued2013
    identifier other%28asce%29up%2E1943-5444%2E0000171.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/69801
    description abstractThis paper presents a vehicle ownership modeling framework for the state of Maryland estimated on data extracted from the 2001 and 2009 National Household Travel Survey. The framework consists of vehicle ownership models and vehicle usage models; the models are based on a wide variety of sociodemographics, land-use variables, and operating cost. The models’ results and the deriving sensitivity analyses show that changes in income and unemployment rate or compact development have little effect on vehicle ownership rates. Nevertheless, the combined effect of high density and increase in fuel cost produce a significant reduction in vehicle usage. The vehicle ownership model estimated on 2001 data has been successfully incorporated into the Maryland Statewide Transportation Model (MSTM).
    publisherAmerican Society of Civil Engineers
    titleVehicle Ownership Modeling Framework for the State of Maryland: Analysis and Trends from 2001 and 2009 NHTS Data
    typeJournal Paper
    journal volume139
    journal issue1
    journal titleJournal of Urban Planning and Development
    identifier doi10.1061/(ASCE)UP.1943-5444.0000128
    treeJournal of Urban Planning and Development:;2013:;Volume ( 139 ):;issue: 001
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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