The co-determination of home and workplace relocation durations using survival copula analysis

The dynamics of household behavior regarding home and occupation relocation is a critical consideration in multiple fields, including transport planning, as it influences the majority of daily trips and urban congestion patterns. While a causal dependence between home and occupation relocation has been widely investigated, the simultaneous dependence of relocation durations has not. Here, households' residential and workplace relocation durations are simultaneously modeled using Bayesian, copula-based, multivariate, parametric survival analysis. Three copula formulations are compared. Nested and independent model structures are proposed for modeling occupation durations in households with more than one employed member. A comprehensive, retrospectively revealed, life-course dataset with a focus on the homeownership, occupation, education, and vehicle ownership statuses of households was collected from Chicago, USA, and Sydney, Australia. The impacts of sociodemographic, home, and occupational attributes were mostly consistent in both cities, demonstrating similarities in the behaviors of their metropolitan residents. The results reveal that, contrary to expectations, home and workplace relocation durations are not necessarily strongly correlated. This result prompts many valuable research directions in this field.

Automated summary

In this study, the residential and workplace relocation durations of households are modeled simultaneously using a Bayesian, copula-based, multivariate, parametric survival analysis. The results reveal that the durations of home and workplace relocations are not necessarily strongly correlated, which suggests valuable research directions in the future.