Imperial College London
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DrJacekPawlak

Faculty of Engineering, Department of Civil and Environmental Engineering

Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 6105jacek.pawlak Website CV

 
 
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Location

 

615Skempton BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Losa:2022:10.1016/j.enbuild.2021.111764,
author = {Losa, Rovira Y and Faghih, Imani A and Sivakumar, A and Pawlak, J},
doi = {10.1016/j.enbuild.2021.111764},
journal = {Energy and Buildings},
pages = {1--11},
title = {Do in-home and virtual activities impact out-of-home activity participation? Investigating end-user activity behaviour and time use for residential energy applications},
url = {http://dx.doi.org/10.1016/j.enbuild.2021.111764},
volume = {257},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The ability to accurately model and predict timing and duration of activities for different individuals is essential for successful and widespread Demand Side Response (DSR) policies, especially in the residential sector. Understanding what people do during the day and what factors influence their activity participation decisions is important for planning an effective DSR strategy to harness the end-user flexibility. The recent Covid-19 pandemic has shown how much activities can be shifted to a virtual mode in the presence of mobility restrictions. Further, participation in activities via digital devices (virtual activity participation) has spread across society. Such virtual activities, including teleworking, online shopping, and virtual social interactions, are observed to explicitly impact travel behaviour and activity scheduling. And yet, activity-based models of mobility and energy demand do not accommodate the trade-offs between activity types, location and virtual activity participation. This paper presents a model of activity participation that captures the relationship between the three dimensions of: activity type (such as work, study, shopping), activity location (in-home, out-of-home), and activity modality (in-person, virtual). A Multiple-Discrete Continuous Extreme Value (MDCEV) model structure is applied, and the empirical analysis is undertaken using the 2015 United Kingdom Time Use Survey (UKTUS). The model results provide insights for better understanding of the trade-offs made by individuals as they participate in and allocate time across a set of activity type-location-modality alternatives, and the heterogeneity in these trade-offs. Further, holdout sample validation and policy scenario analysis exercises are presented to demonstrate the reliability and suitability of the model for policy implications. The empirical results presented in our paper suggest that this framework embedded in an activity and agent-based simulator of energy demand will
AU  - Losa,Rovira Y
AU  - Faghih,Imani A
AU  - Sivakumar,A
AU  - Pawlak,J
DO  - 10.1016/j.enbuild.2021.111764
EP  - 11
PY  - 2022///
SN  - 0378-7788
SP  - 1
TI  - Do in-home and virtual activities impact out-of-home activity participation? Investigating end-user activity behaviour and time use for residential energy applications
T2  - Energy and Buildings
UR  - http://dx.doi.org/10.1016/j.enbuild.2021.111764
UR  - https://www.sciencedirect.com/science/article/pii/S0378778821010483?via%3Dihub
UR  - http://hdl.handle.net/10044/1/93585
VL  - 257
ER  -
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