Pougala, Janody;
Hillel, Tim;
Bierlaire, Michel;
(2022)
Parameter estimation for activity-based models.
In:
Proceedings of the 22nd Swiss Transport Research Conference.
STRC: Monte Verità / Ascona, Switzerland.
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Abstract
Activity-based models (ABM) have seen a significant increase in research focus in the past decade. Based on the fundamental assumption that travel demand is derived from the need to do activities and time and space constraints (Hägerstraand, 1970; Chapin, 1974). ABM offer a more flexible and behaviorally centered alternative to traditional trip-based approaches. Econometric – or utility-based – activity-based models (e.g. Adler and Ben-Akiva, 1979; Bowman and Ben-Akiva, 2001) postulate that the process of activity generation and scheduling can be modelled as discrete choices. Individuals derive a utility from performing activities, and they schedule them as to maximize the total utility. In this paper, we estimate the parameters of the optimization-based activity-based model developed by Pougala et al. (2022), by defining a discrete choice model where the choices for each individual are full daily schedules, each associated with a utility. The maximum likelihood estimators of the parameters (e.g. scheduling penalties, desired start times and durations, constants. . . ) are evaluated on a choice set of daily schedules sampled using the Metropolis-Hastings algorithm (Pougala et al., 2021), derived for sample of individuals from the 2015 Swiss Mobility and Transport Microcensus (Office fédéral de la statistique and Office fédéral du développement Territorial, 2017). Results show that the proposed methodology significantly improves the calibration of econometric activity-based models.
| Type: | Proceedings paper |
|---|---|
| Title: | Parameter estimation for activity-based models |
| Event: | 22nd Swiss Transport Research Conference |
| Location: | Ascona, Switzerland |
| Dates: | 18 May 2022 - 20 May 2022 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://www.strc.ch/2022/Pougala_EtAl.pdf |
| Language: | English |
| Additional information: | This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Activity-based modeling, parameter estimation, discrete choice modeling, simulation |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10215377 |
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