Please mind the gap: Examining regional variations in private vehicle carbon dioxide emissions and fuel consumption—The case of Australia

Article

Lim, Kai Li, Lu, Ying, Kimpton, Anthony, Zahnow, Renee, Li, Tiebei, Dodson, Jago, Sipe, Neil and Corcoran, Jonathan. 2024. "Please mind the gap: Examining regional variations in private vehicle carbon dioxide emissions and fuel consumption—The case of Australia ." Journal of Transport Geography. 121. https://doi.org/10.1016/j.jtrangeo.2024.104023
Article Title

Please mind the gap: Examining regional variations in private vehicle carbon dioxide emissions and fuel consumption—The case of Australia

ERA Journal ID19644
Article CategoryArticle
AuthorsLim, Kai Li, Lu, Ying, Kimpton, Anthony, Zahnow, Renee, Li, Tiebei, Dodson, Jago, Sipe, Neil and Corcoran, Jonathan
Journal TitleJournal of Transport Geography
Journal Citation121
Article Number104023
Number of Pages14
Year2024
PublisherElsevier
Place of PublicationUnited Kingdom
ISSN0966-6923
1873-1236
Digital Object Identifier (DOI)https://doi.org/10.1016/j.jtrangeo.2024.104023
Web Address (URL)https://www.sciencedirect.com/science/article/pii/S0966692324002321
Abstract

This study investigates the geographic and annual variations in carbon dioxide (CO2) emissions and fuel consumption generated by private vehicles across Australia’s regions over an 18-year period (2002 to 2020). We examine the influence of vehicle numbers, geography, and time on emissions and fuel consumption using spatial analysis alongside panel regression. Emissions remain relatively high in North Queensland, the Northern Territory, and South West Western
Australia and Greater Sydney had steepest decline among the metropolitan regions.. Modelling results reveal that higher numbers of internal combustion engine vehicles are positively associated with higher CO2 emissions and fuel usage while higher numbers of electric vehicles are negatively associated. This underscores the importance of targeting high-emission regions for transitioning to electric vehicles. The current study provides empirical insights that hold important implications for policymakers concerning the spatial and temporal trends in private vehicle emissions with the potential to inform low-carbon transport planning.

KeywordsVehicle emissions; Electric vehicles; Geospatial analysis; Australia
Contains Sensitive ContentDoes not contain sensitive content
ANZSRC Field of Research 2020330409. Transport planning
330408. Strategic, metropolitan and regional planning
Byline AffiliationsUniversity of Queensland
School of Surveying and Built Environment
Royal Melbourne Institute of Technology (RMIT)
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