| id |
caadria2024_422 |
| authors |
Kondratenko, Aleksei, Hsain, Houssame Eddine, Cheng, Cesar, Antonio, Rishan, Nisztuk, Maciej, Chavan, Tejas, Weijenberg, Camiel and Patel, Sayjel Vijay |
| year |
2024 |
| title |
Quantifying and Mitigating Neighborhood Transportation CO2 Emissions Through Data-Driven Urban Design |
| doi |
https://doi.org/10.52842/conf.caadria.2024.2.435
|
| source |
Nicole Gardner, Christiane M. Herr, Likai Wang, Hirano Toshiki, Sumbul Ahmad Khan (eds.), ACCELERATED DESIGN - Proceedings of the 29th CAADRIA Conference, Singapore, 20-26 April 2024, Volume 2, pp. 435–444 |
| summary |
Urban areas are significant contributors to CO2 emissions, mainly due to transportation. In this paper, we introduce a novel data-driven tool that leverages urban design to mitigate transportation-related emissions. Our original contribution lies in the development of a comprehensive methodology and a digital analytics tool that applies global data to quantify neighbourhood transportation CO2 emissions and recommend mitigation strategies. Unlike other existing approaches that only present carbon emissions metrics for specific locations, our system uses a robust methodology that employs global data and can be applied to any neighbourhood in the world. A unique feature of our system is the application of the “15-minute city” concept, which assesses the accessibility of essential amenities within a specified travel time and the impact of a specific location on carbon emissions. The system queries, classifies, and filters nearby amenities, identifies those outside the 15-minute isochrone, finds potential car routes, and calculates the annual transportation CO2 emissions for the neighbourhood population. The tool evaluates the problem and suggests optimal facility placement, offering effective strategies for emission reduction. This dual functionality accelerates the urban design and decision-making processes. We validate our approach through case studies in Milan, Dubai, and Calgary, comparing our results with official data. Our tool empowers decision-makers with data-driven insights, paving the way for sustainable urban planning and significant reductions in transportation CO2 emissions. |
| keywords |
Transportation CO2 emissions, Urban Design, Data-driven, Neighbourhood Evaluation, Climate Risk Mitigation |
| series |
CAADRIA |
| email |
|
| full text |
 file.pdf (3,262,997 bytes) |
| references |
Content-type: text/plain
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| last changed |
2024/11/17 22:05 |
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