z-logo
open-access-imgOpen Access
A microeconomic framework for integrated agent-based modelling of activity-travel patterns and energy consumption
Author(s) -
Jacek Pawlak,
Ahmadreza Faghih-Imani,
Aruna Sivakumar
Publication year - 2020
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2020.03.155
Subject(s) - computer science , sophistication , energy consumption , consumption (sociology) , representation (politics) , microsimulation , energy (signal processing) , converse , agent based model , operations research , environmental economics , economics , transport engineering , artificial intelligence , ecology , social science , statistics , mathematics , sociology , biology , engineering , geometry , politics , political science , law
The sophistication in the demand management approaches in both transport and energy sectors and their interaction call for modelling approaches that consider both sectors jointly. For agent-based microsimulation models of travel demand and energy consumption, this implies the necessity to ensure consistent representation of user behaviour with respect to mobility and energy consumption behaviours across the model components. Therefore this paper proposes a microeconomic framework, termed the HOT model (Home, Out-of-home, Travel) grounded in the goods-leisure paradigm, but extended to incorporate emerging activity-travel behaviour patterns and their energy consumption implications. We discuss how the model can be operationalised and embedded within agent-based frameworks with a case study using time use and energy consumption data from the UK.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom