A Random Utility Based Estimation Framework for the Household Activity Pattern Problem

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, the authors 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, (1) choice set generation, (2) choice set individualization and (3) multinomial logit estimation. The estimation results show that utilities for work, shopping and disutilities for travel time, time outside home, and average tour delay are found to be significant in activity-travel decision making.

• Record URL:
  • http://www.utrc2.org/sites/default/files/Final-Report-A-Random-Utility-Based-Estimation-Framework.pdf
• 
• Record URL:
  • https://rosap.ntl.bts.gov/view/dot/31705
• Supplemental Notes:
  • This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  University at Buffalo

  Department of Industrial and Systems Engineering
  Buffalo, NY  United States 

  University Transportation Research Center

  City College of New York
  Marshak Hall, Suite 910, 160 Convent Avenue
  New York, NY  United States  10031

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Xu, Zhiheng
  • Kang, Jee Eun
  • Chen, Roger B
• Publication Date: 2016-6

Language

• English

Media Info

• Media Type: Digital/other
• Edition: Final Report
• Features: Appendices; Figures; References; Tables;
• Pagination: 35p

Subject/Index Terms

• TRT Terms: Activity choices; Decision making; Estimating; Forecasting; Households; Multinomial logits; Travel patterns; Travel time; Utility theory
• Subject Areas: Planning and Forecasting; Transportation (General);

Filing Info

• Accession Number: 01624403
• Record Type: Publication
• Contract Numbers: 49997-16-25
• Files: UTC, NTL, TRIS, ATRI, USDOT
• Created Date: Jan 30 2017 10:44AM