주요 메뉴 바로가기 보조 메뉴 바로가기 본문 바로가기
RESEARCH COMMUNICATION PORTAL

논문 해외 국제전문학술지(SCI급) Accommodating (non-) monotonically changing hazards in finite mixture models for the inter-episode duration of discretionary activities

Cities
  • 학술지 구분 국제전문학술지(SCI급)
  • 게재년월 2026-01
  • 저자명 Pim Labee, Seheon Kim, Soora Rasouli
  • 학술지명 Cities
  • 발행처명 Pergamon
  • 발행국가 해외
  • 논문언어 외국어
  • 연구분야 공학 > 교통공학
  • 원문 링크 https://doi.org/10.1016/j.cities.2025.106480

논문 초록 (Abstract)

Understanding the dynamics behind inter-episode durations of discretionary activities can lay the groundwork for expanding activity-based models beyond single-day representation to encompass multi-day forecasting. Although the field has long recognized the variability in day-to-day activities, many advanced activity-based models still neglect the interdependencies among activities spanning multiple days. This paper examines the intervals between successive participations in grocery shopping, non-grocery shopping and leisure activities specifying different finite mixture models using three parameter Weibull and shifted-log-logistic baseline hazards. Besides accounting for unobserved heterogeneity in a non-parametric fashion, the models accommodate time-varying covariates, household-, individual-, and land use characteristics, and are estimated using over two years of GPS data collected in the Netherlands between 2019 and 2022. Restrictions during COVID-19 have been incorporated in the models as a time-varying covariate since the data collection period encompasses the pandemic period. The significant shape parameters for both the Weibull and log-logistic segments suggest increasing hazards with time, warranting the usage of more flexible models accommodating (non-)monotonically changing hazards.