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.
ASJC Scopus subject areas
- Civil and Structural Engineering
- Mechanical Engineering