Fitting S-Shaped Activity Utility Functions Based on Stated-Preference Data

Abstract

The theory of the S-shaped utility functions that was developed by Joh et al. (2003) within the \nframework of their activity-based transport demand model Aurora, will be used in the present \nresearch as the underlying framework of a dynamic activity-based rescheduling approach. The \naim of this paper is to examine the impact of different activity characteristics and situational \nattributes, namely activity duration, history, discretionary time, time of day, location and \naccompanying persons, on an individual’s rescheduling decisions. In order to study the effect \nof these variables, different stated preference scenarios were included in a dynamic \nInternet-based survey that was provisionally tested on a small-scale pilot sample. The data \ngathered by the survey were used to estimate the fraction-utilities of the various attributes by \nmeans of a binary logit model.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 12 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.