Modelling urban carbon emissions for multiple sectors in high spatial resolution for achieving sustainable & net-zero cities

Simple item page
dc.contributor.authorPurcell, Lilyen
dc.contributor.authorO'Regan, Anna C.en
dc.contributor.authorMcGookin, Conoren
dc.contributor.authorNyhan, Marguerite M.en
dc.date.accessioned2025-04-30T08:44:45Z
dc.date.available2025-04-30T08:44:45Z
dc.date.issued2025en
dc.description.abstractMany largescale initiatives and networks have been established to support city efforts and leadership in decarbonisation. An essential first step in these initiatives is developing a Baseline Emissions Inventory (BEI) to understand drivers of current emissions and provide a benchmark that progress can be measured against. There has been increasing interest in emission inventory methods. However, previous research has focused on single sectors, has neglected emissions other than CO2, or has not followed a spatial approach. The latter is particularly important to support policy planning and decision-making. This study investigates the development of a novel BEI for a medium-sized city in Ireland to address the methodological knowledge gap in existing literature for a detailed methodology using mainly open-source and spatially resolved data for developing a multi-sectoral BEI in high spatial resolution. Greenhouse Gas (GHG) emissions including CO2, CH4, and N2O, represented as kilotonnes CO2-equivalent (ktCO2-eq), were modelled for the Residential; Transport; Commercial & Industrial; Public; Agriculture, Land Use & Fishing (ALUF); and Waste sectors. Total annual emissions were 987 ktCO2-eq, with emissions per capita of 4.7 tCO2-eq. The Residential sector accounted for 34 % of emissions followed by the Transport (29 %), Commercial & Industrial (22 %), Public (7 %), ALUF (6 %), and Waste (2 %) sectors. The fine-resolution spatial outputs facilitate the investigation of socioeconomic factors alongside GHG emissions helping to elucidate local drivers and produce equitable mitigation strategies. The findings will contribute to effective policy development and the methodologies, developed in accordance with the Global Covenant of Mayors, can be replicated by cities globally.en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid106370en
dc.identifier.citationPurcell, L., O’Regan, A. C., McGookin, C. and Nyhan, M. M. (2025) 'Modelling urban carbon emissions for multiple sectors in high spatial resolution for achieving sustainable & net-zero cities', Sustainable Cities and Society, 126. DOI: 10.1016/j.scs.2025.106370en
dc.identifier.doi10.1016/j.scs.2025.106370en
dc.identifier.issn22106707en
dc.identifier.journaltitleSustainable Cities and Societyen
dc.identifier.urihttps://hdl.handle.net/10468/17371
dc.identifier.volume126
dc.language.isoenen
dc.publisherElsevier Ltden
dc.rights© 2025, the Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBaseline emissions inventoryen
dc.subjectCO2-equivalenten
dc.subjectSpatial modellingen
dc.subjectUrban decarbonisationen
dc.titleModelling urban carbon emissions for multiple sectors in high spatial resolution for achieving sustainable & net-zero citiesen
dc.typeArticle (peer reviewed)en
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
1-s2.0-S221067072500246X-main.pdf
Size:
6.49 MB
Format:
Adobe Portable Document Format
Description:
Published Version
Download
Collections
Civil and Environmental Engineering - Journal articles