Rezvany, Negar;
Hillel, Tim;
Bierlaire, Michel;
(2022)
Integrated in- and out-of-home scheduling framework: A utility optimization-based approach.
In:
Proceedings of the 22nd Swiss Transport Research Conference.
(pp. pp. 1-18).
Swiss Transport Research Conference
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Abstract
Existing activity-based modeling predominantly focus on out-of-home activities in order to understand transport demand. In this research, we extend the state of practice in activity-based modelling by determining both in- and out-of-home activities in a single scheduling framework. This approach has two main benefits and applications: Firstly, it can capture the trade-offs between in-home and out-of-home activities. Secondly, in-home time-use patterns can be used to model high resolution energy demand, which can contribute to demand side management. Our work builds on an existing optimisation framework, which treats individuals as maximising their total utility from completed activities and incorporates multiple scheduling decisions simultaneously. The framework has been extended to determine the choice of location for activities such as work, study, and leisure. The approach is tested on a set of detailed daily schedules extracted from the 2016-2020 UK Time Use Survey data. The results show that the model is able to generate peoples’ daily activity schedules based on their preferences and constraints.
| Type: | Proceedings paper |
|---|---|
| Title: | Integrated in- and out-of-home scheduling framework: A utility optimization-based approach |
| 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.php |
| 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; Daily scheduling behavior; Mixed-integer optimization; Time use survey |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science 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/10174113 |
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