A latent class model with attribute cut-offs to analyze modal choice for freight transport.

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Title: A latent class model with attribute cut-offs to analyze modal choice for freight transport.
Authors: Román, Concepción1 croman@daea.ulpgc.es, Arencibia, Ana Isabel2 aarencibia@acciones.ulpgc.es, Feo-Valero, María3 maria.feo@eco.uji.es
Source: Transportation Research Part A: Policy & Practice. Aug2017, Vol. 102, p212-227. 16p.
Subjects: Latent class analysis (Statistics), Freight & freightage, Transportation, Discrete choice models, Sensory perception
Abstract: We use stated preference data to analyze modal choice for freight transport when information about attribute cut-offs is introduced into the utility specification. Different choice models are estimated to account for the negative effect produced when these threshold values are violated. In order to better understand the heterogeneity in shippers’ preferences, a latent class model incorporating cut-offs penalties is estimated. Our results provide evidence of the existence of differentiated classes of individuals regarding both the perception of the main attributes affecting modal choice in the corridor under analysis and penalties imposed when these attributes do not meet acceptable levels of service. [ABSTRACT FROM AUTHOR]
Copyright of Transportation Research Part A: Policy & Practice is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: A latent class model with attribute cut-offs to analyze modal choice for freight transport.
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  Data: <searchLink fieldCode="JN" term="%22Transportation+Research+Part+A%3A+Policy+%26+Practice%22">Transportation Research Part A: Policy & Practice</searchLink>. Aug2017, Vol. 102, p212-227. 16p.
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  Data: <searchLink fieldCode="DE" term="%22Latent+class+analysis+%28Statistics%29%22">Latent class analysis (Statistics)</searchLink><br /><searchLink fieldCode="DE" term="%22Freight+%26+freightage%22">Freight & freightage</searchLink><br /><searchLink fieldCode="DE" term="%22Transportation%22">Transportation</searchLink><br /><searchLink fieldCode="DE" term="%22Discrete+choice+models%22">Discrete choice models</searchLink><br /><searchLink fieldCode="DE" term="%22Sensory+perception%22">Sensory perception</searchLink>
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  Label: Abstract
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  Data: We use stated preference data to analyze modal choice for freight transport when information about attribute cut-offs is introduced into the utility specification. Different choice models are estimated to account for the negative effect produced when these threshold values are violated. In order to better understand the heterogeneity in shippers’ preferences, a latent class model incorporating cut-offs penalties is estimated. Our results provide evidence of the existence of differentiated classes of individuals regarding both the perception of the main attributes affecting modal choice in the corridor under analysis and penalties imposed when these attributes do not meet acceptable levels of service. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Transportation Research Part A: Policy & Practice is the property of Pergamon Press - An Imprint of Elsevier Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1016/j.tra.2016.10.020
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      – Code: eng
        Text: English
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      – SubjectFull: Latent class analysis (Statistics)
        Type: general
      – SubjectFull: Freight & freightage
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      – SubjectFull: Transportation
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      – SubjectFull: Discrete choice models
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      – SubjectFull: Sensory perception
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              Text: Aug2017
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