Bus: SQUAKE

💡 High-Level Description:

SQUAKE, a holistic and modern approach to carbon calculation, sets itself apart by its capacity to integrate operator-specific data within its methodology for the bus sector. Recognizing that buses, as a mode of public transport, can vary significantly in their environmental impact depending on numerous variables, the methodology's flexibility is its strength. Factors such as bus age, fuel type, maintenance schedules, route frequencies, and driver habits can all play crucial roles in determining the carbon footprint of a single bus journey.

With its roots in contemporary data analytics, SQUAKE not only aggregates broad industry metrics but also narrows down to the intricacies of individual bus operators. This ability to granulate allows transportation authorities and companies to gain precise insights and implement targeted strategies for carbon reduction. Such precision, driven by operator-specific data, translates into actionable solutions that make bus transportation greener and more sustainable.

API Request

{
  "expand": [
    "items"
  ],
  "items": [
    {
      "type": "bus",
      "external_reference": "test_1",
      "origin": "Berlin",
      "destination": "Frankfurt am Main",
      "number_of_travelers": 1,
      "methodology": "SQUAKE",
      "fuel_type": "diesel",
      "operator_name": "flixbus"
    }
  ]
}

API Request Items

• "type": "bus" (required)

• "methodology": "SQUAKE" (required)

• "external_reference": A unique identifier that helps you link the resulting emissions to the requested item. Especially useful if multiple items are requested since SQUAKE cannot guarantee to keep the same order. The maximum length is 128 characters.

• "number_of_travelers": Minimum value is 1. The default value is 1.

• "origin": SQUAKE will try to resolve the origin/destination regardless of its format. Ideally, for addresses use the Post standard, for airports use IATA/ICAO code (format: ^[A-Z]{3,4}$, e.g., "MUC"), for other locations used in trade and transportation use UN/LOCODE codes (format: ^[A-Z]{2}\W?[A-Z2-9]{3}$, e.g., "DEHAM"). You can also pass lat/long (format: ^[-+]?\d{1,3}\.\d{1,10}\s?,\s?[-+]?\d{1,3}\.\d{1,10}$, e.g., "+40.712,-74.006").

• "destination": SQUAKE will try to resolve the origin/destination regardless of its format. Ideally, for addresses use the Post standard, for airports use IATA/ICAO code (format: ^[A-Z]{3,4}$, e.g., "MUC"), for other locations used in trade and transportation use UN/LOCODE codes (format: ^[A-Z]{2}\W?[A-Z2-9]{3}$, e.g., "DEHAM"). You can also pass lat/long (format: ^[-+]?\d{1,3}\.\d{1,10}\s?,\s?[-+]?\d{1,3}\.\d{1,10}$, e.g., "+40.712,-74.006").

• "distance_in_km": Prioritized over origin and destination. If you don't have a distance_in_km, you can use origin and destination and the distance will be automatically resolved. If you pass both distance_in_km and origin/destination, then distance_in_km will be used.

• "fuel_type": Values are lng, diesel, lpg, phev, hydrogen, electricity; defaults to average.

• "operator_name": SQUAKE's methodology allows passing the operator's name to obtain a more accurate result. You can find the list of supported operators here.

• Default Values

  • "fuel_type": "average"

Sample API Response

{
    "carbon_quantity": 12374,
    "carbon_unit": "gram",
    "items": [
        {
            "carbon_quantity": 12374,
            "carbon_unit": "gram",
            "external_reference": "test_1",
            "type": "bus",
            "methodology": "SQUAKE",
            "distance": 538.0,
            "distance_unit": "kilometer"
        }
    ]
}

Bibliography

• Chang, Ching-Chih, et al. “Life Cycle Assessment of Carbon Footprint in Public Transportation - a Case Study of Bus Route NO. 2 in Tainan City, Taiwan.” Procedia Manufacturing, vol. 30, Elsevier BV, 2019, pp. 388–95. https://doi.org/10.1016/j.promfg.2019.02.054.

• Logan, Kathryn G., et al. “Electric and Hydrogen Buses: Shifting From Conventionally Fuelled Cars in the UK.” Transportation Research Part D: Transport and Environment, vol. 85, Elsevier BV, Aug. 2020, p. 102350. https://doi.org/10.1016/j.trd.2020.102350.

• "Which form of transport has the smallest carbon footprint?" Our World in Data, ourworldindata.org/travel-carbon-footprint.