Rezvany, Negar;
Hillel, Tim;
Bierlaire, Michel;
(2022)
Integrated in- and out-of-home scheduling framework: A utility optimization-based approach.
In:
Proceedings of the hEART 2022: 10th Symposium of the European Association for Research in Transportation.
European Association for Research in Transportation: KU Leuven, Belgium.
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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: 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. 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 approach is tested on a set of detailed daily schedules extracted from the 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 individual preferences and constraints.
| Type: | Proceedings paper |
|---|---|
| Title: | Integrated in- and out-of-home scheduling framework: A utility optimization-based approach |
| Event: | hEART 2022: 10th Symposium of the European Association for Research in Transportation |
| Location: | KU Leuven, Belgium |
| Dates: | 1 Jun 2022 - 3 Jun 2022 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://heart2022.com/ |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Activity-based modeling; Daily scheduling behavior; Transport demand; Energy demand; Mixed-integer optimization; Time use survey data. |
| 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/10173015 |
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