A random utility based estimation framework for the household activity pattern problem.

Details

• Creators:
  Kang, Jee Eun
• Corporate Creators:
  State University of New York at Buffalo. Department of Industrial and Systems Engineering
• Corporate Contributors:
  City University of New York. University Transportation Research Center
• Subject/TRT Terms:
  • Activity choices
  • Travel patterns
  • Travel behavior
  • Multinomial logits
  • Logits
  • Choice models
  • Route choice
  • Household Activity Pattern Problem
  • Activity-Travel
  • Patterns
  More +
• Resource Type:
  Tech Report
• Geographical Coverage:
  New York
• Corporate Publisher:
  City College of New York. University Transportation Research Center
• Abstract:
  This paper develops a random utility based estimation framework for the Household Activity ; Pattern Problem (HAPP). Based on the realization that output of complex activity-travel decisions ; form a continuous pattern in space-time dimension, the estimation framework is treated as ; a pattern selection problem. In particular, we define a variant of HAPP that has capabilities of ; forecasting activity selection and durations in addition to activity sequencing. The framework ; is comprised of three steps, (i) choice set generation, (ii) choice set individualization and (iii) ; multinomial logit estimation. The estimation results show that utilities for work, shopping and ; disuilities for travel time, time outside home, and average tour delay are found to be significant ; in activity-travel decision making.
• Format:
  PDF
• Funding:
  49997-16-25
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/31705/dot_31705_DS1.pdf
• File Type:
  [PDF - 2.33 MB]
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha256:ba1c1088354ea30f8ed59defa0d79b3a2202424043508b587c176b16e7aa8b87