Improvements in the representation of behavior in integrated energy and transport models

Giada Venturini*, Jacopo Tattini, Eamonn Mulholland, Brian Ó Gallachóir

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

The inclusion of sociological aspects, as human behavior related to transportation, in energy–economy–environment (E3) models may enable an inclusive representation of the system under analysis, thus providing a more likely representation of reality. This article presents a review of integrated energy and transport models characterized by a detailed description of the passenger transport sector and by the presence of transport behavioral features. First, we propose a working taxonomy based on the level of integration of the energy and transport sectors. As the study underlines, a high level of integration is a precondition for incorporating the consumer behavior related to purchase decisions and use of transport technologies in energy and transport models. Second, we identify and review the recurring behavioral features related to transport included in current integrated energy and transport models: technology choice, modal choice, driving pattern, and new mobility trends. The main contribution of the paper resides in analyzing the modeling methodologies adopted in the literature to incorporate behavioral features in transport and in examining opportunities and challenges of each of them. We draw recommendations on model structure and relevant attributes to consider in relation to consumers’ choices in transportation.
Original languageEnglish
JournalInternational Journal of Sustainable Transportation
Volume13
Issue number4
Pages (from-to)294-313
Number of pages20
ISSN1556-8318
DOIs
Publication statusPublished - 2019

Keywords

  • Behavior
  • Driving pattern
  • Energy model
  • Modal choice
  • Technology choice
  • Transport model

Fingerprint

Dive into the research topics of 'Improvements in the representation of behavior in integrated energy and transport models'. Together they form a unique fingerprint.

Cite this