Achieving Sustainable Growth at Uber Freight
The freight industry creates 8% of the world’s greenhouse gas emissions through shipping. If companies measure precisely, they can begin the benchmarking process toward improvement. The Global Logistics Emission Council (GLEC) provides a current consolidated Framework for calculating carbon emission...
Main Authors: | , |
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Format: | Other |
Language: | en_US |
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2020
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Online Access: | https://hdl.handle.net/1721.1/126485 |
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author | Raman Grubbs, Elizabeth Shathi, Sadia Rahman |
author_facet | Raman Grubbs, Elizabeth Shathi, Sadia Rahman |
author_sort | Raman Grubbs, Elizabeth |
collection | MIT |
description | The freight industry creates 8% of the world’s greenhouse gas emissions through shipping. If companies measure precisely, they can begin the benchmarking process toward improvement. The Global Logistics Emission Council (GLEC) provides a current consolidated Framework for calculating carbon emissions for freight transportation. Uber Freight, a third party software platform based trucking logistics service provider, requested a process to calculate and reduce their carbon emissions. After creating a calculation and forecast for carbon emissions, we complete an in-depth analysis of key lanes and activities to target for improvement. For long-term reduction, we present a projection of emissions through 2050 based on current activities, along with a Science Based Target that Uber Freight can use to set a climate goal. We provide Uber Freight with a strategy and method for measuring, tracking, and reducing their overall company environmental footprint along with the tools to enhance the environmental footprints of their shipper and carrier partners. For future accuracy improvement, Uber Freight can collect data on carriers’ specific CO2e per tkm and equipment type to avoid using general factors. |
first_indexed | 2024-09-23T14:53:07Z |
format | Other |
id | mit-1721.1/126485 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T14:53:07Z |
publishDate | 2020 |
record_format | dspace |
spelling | mit-1721.1/1264852020-08-07T03:08:08Z Achieving Sustainable Growth at Uber Freight Raman Grubbs, Elizabeth Shathi, Sadia Rahman transportation sustainability data analytics The freight industry creates 8% of the world’s greenhouse gas emissions through shipping. If companies measure precisely, they can begin the benchmarking process toward improvement. The Global Logistics Emission Council (GLEC) provides a current consolidated Framework for calculating carbon emissions for freight transportation. Uber Freight, a third party software platform based trucking logistics service provider, requested a process to calculate and reduce their carbon emissions. After creating a calculation and forecast for carbon emissions, we complete an in-depth analysis of key lanes and activities to target for improvement. For long-term reduction, we present a projection of emissions through 2050 based on current activities, along with a Science Based Target that Uber Freight can use to set a climate goal. We provide Uber Freight with a strategy and method for measuring, tracking, and reducing their overall company environmental footprint along with the tools to enhance the environmental footprints of their shipper and carrier partners. For future accuracy improvement, Uber Freight can collect data on carriers’ specific CO2e per tkm and equipment type to avoid using general factors. Uber Freight 2020-08-06T15:17:31Z 2020-08-06T15:17:31Z 2020-08-06 Other https://hdl.handle.net/1721.1/126485 en_US application/pdf |
spellingShingle | transportation sustainability data analytics Raman Grubbs, Elizabeth Shathi, Sadia Rahman Achieving Sustainable Growth at Uber Freight |
title | Achieving Sustainable Growth at Uber Freight |
title_full | Achieving Sustainable Growth at Uber Freight |
title_fullStr | Achieving Sustainable Growth at Uber Freight |
title_full_unstemmed | Achieving Sustainable Growth at Uber Freight |
title_short | Achieving Sustainable Growth at Uber Freight |
title_sort | achieving sustainable growth at uber freight |
topic | transportation sustainability data analytics |
url | https://hdl.handle.net/1721.1/126485 |
work_keys_str_mv | AT ramangrubbselizabeth achievingsustainablegrowthatuberfreight AT shathisadiarahman achievingsustainablegrowthatuberfreight |