A random utility based estimation framework for the household activity pattern problem.
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2016-06-01
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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.
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