Mode choice and number of non-work stops during the commute: Application of a copula-based joint model

Commute mode choice and number of non-work stops during the commute are joint decisions interacting with each other. If an individual chooses a vehicle for the commute, regarding vehicleʹs restrictions, there could be some stops. On the other hand, if an individual needs to have some stops, a vehicle can be selected for the commute regarding the number of stops. In this study, to consider the interaction between these decisions, we employed a copula-based joint modeling framework. The data used in this study are drawn from origin-destination travels data of Shiraz-Iran conducted in 1997. The commuting mode choice modeling is undertaken using a multinomial logit model, and the number of non-work stops is modeled using an ordered response formulation. To capture the interaction between these decisions, several copula functions have been used. Results conrm that the mode and number of non-work stop choices are interrelated choices by estimating the commonly observed factors and dependence parameters with high statistical signicance. By determining common eective factors, we can analyze the current situation in the community. Therefore, we can use the results so as to forecast future travel demand and set some policies, leading to the promotion of trip chaining.