This paper presents a comprehensive, multidimensional, multivariate binary probit model that can simultaneously represent multiple aspects of individuals’ work arrangement decisions while accounting for interactions between household members in individual employment-related choices. The model is estimated on the basis of a survey sample drawn from the San Francisco Bay Area, California, from which a rich set of accessibility measures is available to account for built environment influences on work-related decisions. Model results show that a host of demographic, socioeconomic, built environment, and attitudinal variables influence individual choices regarding work arrangements; more importantly, the model shows that there is much employment-related interaction among household members. The model can be used to predict the employment choices of individuals within larger microsimulation models of activity-travel demand.


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    Title :

    Joint Household-Level Analysis of Individuals’ Work Arrangement Choices


    Additional title:

    Transportation Research Record


    Contributors:


    Publication date :

    2012-01-01




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English