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CINT City Net-Zero tool: a method to quantitatively assess carbon data in urban areas

CINT City Net-Zero tool: a method to quantitatively assess carbon data in urban areas

Carta, Silvio ORCID logoORCID: https://orcid.org/0000-0002-7586-3121, Pintacuda, Luigi, Turchi, Tommaso, Papadopoulou, Foteini, McGurk, Marc, Clark, Alan and Luper, Candice (2023) CINT City Net-Zero tool: a method to quantitatively assess carbon data in urban areas. In: 2023 IEEE International Symposium on Technology and Society (ISTAS). 13th - 15th September 2023, Swansea, United Kingdom. IEEE Xplore, 1 . Institute of Electrical and Electronics Engineers IEEE, Piscataway, NJ, pp. 1-6. ISBN 979-8350324860; 979-8350324877 ISSN 2158-3412 (Print), 2158-3404 (Online) (doi:10.1109/ISTAS57930.2023.1030597)

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Abstract

We present CINT (City Net-zero Tool): an analytical and predictive model de-signed to quantitatively assess carbon data in urban areas. We developed a work-flow to collect existing data from city councils on carbon footprint, consumption and production, and tested the inter-operability between urban public data and GIS data. We implemented the model using Kernel Density Estimation (KDE) to infer the carbon emissions related to individual buildings based on a station-based dataset. We present initial testing on the integration of data from OpenStreetMap with a vector model and initial testing on modelling data into graph networks to generate enquiries and inference on carbon data and urban scenarios. This method shows how we can integrate more datasets into our base model (graph-based geo-referenced map) to infer unknown information (for example the estimated NO2 emission per each building).

Item Type: Conference Proceedings
Title of Proceedings: 2023 IEEE International Symposium on Technology and Society (ISTAS). 13th - 15th September 2023, Swansea, United Kingdom
Uncontrolled Keywords: SDG 11 , SDG 12 , Carbon Data , GIS Data , Predictive Modelling , Building Carbon Footprint
Subjects: G Geography. Anthropology. Recreation > GE Environmental Sciences
N Fine Arts > NA Architecture
Q Science > Q Science (General)
Faculty / School / Research Centre / Research Group: Faculty of Liberal Arts & Sciences
Faculty of Liberal Arts & Sciences > School of Design (DES)
Related URLs:
Last Modified: 09 Nov 2023 17:43
URI: http://gala.gre.ac.uk/id/eprint/44188

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