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Carbon flow through continental-scale ground logistics transportation.

Haotian Cui1,2,3, Yonglong Lu1,2, Yunqiao Zhou4

  • 1State Key Laboratory of Marine Environmental Science and Key Laboratory of the Ministry of Education for Coastal Wetland Ecosystems, College of the Environment and Ecology, Xiamen University, Fujian 361102, China.

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Summary

Logistics activities generate significant greenhouse gas (GHG) emissions, estimated at 112.14 Mt CO2e. Optimizing driving speed and energy use can substantially reduce these emissions.

Keywords:
Energy ModelingEnergy managementEnergy policyEnergy resources

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Area of Science:

  • Environmental Science
  • Logistics and Supply Chain Management
  • Climate Change

Background:

  • Global logistics growth contributes significantly to greenhouse gas (GHG) emissions, but emission data is often imprecise.
  • Understanding the spatial distribution and drivers of these emissions is crucial for effective climate policy.

Purpose of the Study:

  • To construct a continental-scale spatial network of logistics-related GHG emissions using big data.
  • To identify key factors influencing these emissions and quantify potential mitigation strategies.

Main Methods:

  • Utilized multisource big data to build a spatial network of logistic GHG emissions.
  • Analyzed emission fluxes, identified contributing urban agglomerations, and determined driving factors like speed and GDP.

Main Results:

  • Total logistics GHG emissions reached 112.14 Mt CO2 equivalents (CO2e), with seven major urban areas accounting for 63%.
  • Emission efficiency is higher in regions with shorter transport distances and developed road networks.
  • Driving speed and gross domestic product were identified as primary emission drivers.

Conclusions:

  • Implementing optimized driving speeds (65-70 km/h) and diverse energy combinations could reduce GHG emissions by 27.50-1162.75 Mt CO2e over 15 years.
  • Findings provide critical data for developing integrated global logistics management and climate policies.