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T-1B1a-TE-9 - Improved load factor for light trucks

Background

IPCC WG3 definition: M-1A-8 - Supply Chain Management.

Emissions from freight transport are directly impacted by how well the trucks are filled - the load factor. The UK average load factor is around 68 percent.

Emissions from freight transport (per unit of weight) are directly related to the load factor - which means how well the trucks are filled.

The UK average load factor is around 68 percent, referring to the volume of goods moved as a proportion of the total volume of goods that could have been carried.Around 30 percent of the time trucks run completely empty.

Higher load factors will not only reduce emissions but be economically benefical.

Source: https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/777781/fom_understanding_freight_transport_system.pdf

Sustainability Category: Amber

Amber

This transition element has only moderate climate impact but may be necessary for maintaining urban needs, with a clear pathway to decarbonization. While not aligned with net-zero targets, this transition element is actively improving the emissions profile and represents intermediate performance on the path to sustainability.

Transition Element

Shift type: Utilisation Shift
Operations: vehicle_km
Activity measure: ideal_vehicle_km
Activity conversion: 1 / load_factor_light_trucks

Activities

Parameters

Parameter Unit Description
load_factor_increase_light_trucks percent Load factor increase for LGVs
load_factor_light_trucks percent Load factor LGVs

YAML Specification

sustainability: amber
version: 2.0.0
type: upshift
longName: Improved load factor for light trucks.
shortName: Load factor LGV
weightInversionExpression:
  expression: ((( 1 / unknown_x ) / %[0] ) - 1 ) / %[1]
  variables:
  - load_factor_light_trucks
  - load_factor_increase_light_trucks
description: Reduce the amount of vehicle kilometer from diesel light trucks to fulfill
  the need of logistics through improving the load factor
unitOfMeasure: ideal_vehicle_km
cohort:
  expression: '1'
variablesToUpdate:
- update: load_factor_light_trucks
  type: INCREASE
  by:
    expression: '%[0]'
    variables:
    - load_factor_increase_light_trucks
carbonCausalChains:
  atoc:
    expression: 1 / %[0]
    variables:
    - load_factor_light_trucks
  chains:
  - chain: diesel_light_trucks
  - chain: hydrogen_light_trucks
  - chain: battery_electric_light_trucks
  - chain: petrol_light_trucks
  - chain: gas_light_trucks
cobenefits:
- air_quality
- reduced_noise
- reduced_accidents
- less_congestion