Incorporating in-home activities in ADAPTS activity-based framework: A sequential conditional probability approach

In travel demand modelling literature, minor attention has been given to modelling and specifically micro-simulating the in-home activities. One reason could be associated with the fact that in-home activities do not explicitly involve trips. Besides, data limitation could be another reason since most of the travel surveys are based on the household travel diary approach and do not encompass in-home activity information. Nonetheless, incorporating people's in-home activities into the activity-based travel demand frameworks and perceiving the associations between the activities people perform in home and out of home could enhance the activity generation, planning, and scheduling procedures. In an effort to analyze such associations, this study uses a sequential conditional probability approach for modelling activity type and duration decisions of in-home activities in conjunction with out-of-home ones. The paper first proposes an algorithm to incorporate in-home activities within the Agent-based Activity Planning and Travel Scheduling (ADAPTS) framework. Then, models regarding generation and planning of in-home activities are presented and described accordingly. The new framework is capable of modelling and simulating in-home activities alongside and in conjunction with out-of-home activities with a special focus on a large set of in-home activity types.