A joint model of household time use and task assignment for elderly couples with multiple constraints

Area of Science:

• Urban Planning
• Sociology
• Transportation Science

Background:

• Household time-use patterns are influenced by daily activities and intra-household interactions.
• Household task assignment is a critical factor affecting individual time allocation but is understudied.
• Understanding these patterns is crucial for designing supportive social environments.

Purpose of the Study:

• To propose and estimate a joint household-level multiple discrete-continuous extreme value-multinomial logit (MDCEV-MNL) model.
• To analyze the impact of household task assignment on elderly couples' time-use patterns.
• To provide policy implications for creating age-friendly societies.

Main Methods:

• Developed a joint household-level multiple discrete-continuous extreme value-multinomial logit (MDCEV-MNL) model with multiple constraints.
• Employed the Karush-Kuhn-Tucker (KKT) method and simulation-based maximum likelihood estimation.
• Utilized household activity-travel data from Beijing, China.

Main Results:

• The study successfully modeled the complex time-use decisions of elderly couples.
• Task assignment significantly influences the time allocation and activities of household members.
• Identified key factors affecting intra-household interactions related to task distribution.

Conclusions:

• The proposed MDCEV-MNL model effectively captures household task assignment effects on time use.
• Findings offer valuable insights into the dynamics of elderly couples' daily lives.
• Recommendations support the development of policies for an age-friendly society.