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

Year: 2017

Type: article

Abstract: This paper develops a random utility based estimation framework for the Household Activity Pattern Problem (HAPP). Based on the realization that outputs 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) model 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.

Source: Transportation research procedia

DOI: 10.1016/j.trpro.2017.05.045

Authors: Zhiheng Xu, Jee Eun Kang, Roger Chen

Institutions: University at Buffalo, State University of New York, Rochester Institute of Technology

Language: English

Topic: Transportation Planning and Optimization

Subfield: Transportation

Field: Social Sciences

Domain: Social Sciences

Open Access status: diamond

Funder: National Science Foundation

OpenAlex ID: W2594785372

FWCI: 1.23

Cites: 38

Cited by: 5

Related to: 10