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Title: Low-Cost Large-Scale Greenhouse Gas Emission Estimation Methodology: Better Urban Transport Investment Through Carbon Finance and Evidence from Philippines
Accession Number: 01663305
Record Type: Component
Abstract: The transport sector, particularly in developing countries, plays a critical role in global energy consumption and greenhouse gas emissions reduction strategies – not only because transport sector emissions comprise nearly a quarter of global emissions today, but also because without pre-emptive action in developing countries, transport sector emissions may increase particularly rapidly, and the costs of future retroactive mitigation activities may be prohibitive. In this paper, the authors review existing methodologies for estimating transport sector GHG emissions and introduce a new methodology that solves the challenge of attributing emissions from large-scale transport sector interventions using a low-cost and scalable methodology. The authors’ methodology relies on emergent sources of big data — GPS data generated by multi-national transportation networked companies (TNCs), such as Uber and Grab, and high-resolution satellite imagery — to efficiently and effectively generate comparable traffic-induced GHG emissions estimates across multiple cities and countries.
Supplemental Notes: This paper was sponsored by TRB committee ADC70 Standing Committee on Transportation Energy.
Report/Paper Numbers: 18-05557
Language: English
Authors: Krambeck, HollyLu, Yang (Carl)Pagination: 17p
Publication Date: 2018
Conference:
Transportation Research Board 97th Annual Meeting
Location:
Washington DC, United States Media Type: Digital/other
Features: Figures; Maps; Photos; References; Tables
Geographic Terms: Subject Areas: Environment; Highways; Policy
Source Data: Transportation Research Board Annual Meeting 2018 Paper #18-05557
Files: TRIS, TRB, ATRI
Created Date: Jan 8 2018 11:25AM
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