Environmentally Aware Business Travel and Fuel Usage
Our Group is distributed across more than 30 locations in eleven countries – a fact that makes high demands on employee mobility. Carbon emissions are produced when our employees travel.
We aim to reduce travel-related emissions, both by avoiding business trips and by using climate-neutral options such as rail travel.
Corporate Procurement and Human Resources work closely together to manage employee mobility. Responsibility for this topic ranges from business trip management through vehicle fleet monitoring down to defining the terms on which company cars are provided and can be used.
We have taken the following measures to promote eco-friendly mobility:
We work together with external partners on the use of rental and company cars. These partners provide us with regular information on vehicle fleet usage and evaluate fuel cards, enabling us to monitor trends in fuel consumption and associated greenhouse gas and carbon emissions. Air travel is organized by travel agents who also provide us with regular information on carbon emissions, among other things. German rail network operator Deutsche Bahn supplies us with an annual client environmental data report (“Umweltbilanz”). This quantifies the carbon emissions that our employees have avoided by traveling by rail as opposed to by car. In 2020, e.g., this amounted to over 280 tonnes of CO2 (2019: over 800 tonnes). The substantial year-on-year savings of approximately 520 tonnes of carbon emissions are associated with the slump in overall travel resulting from the COVID-19 pandemic.
Our employees traveled more than 19.10 million kilometers in the 2020 reporting period (2019: 37.70(1) million kilometers; 2018: 40.19(1) million kilometers), generating 3,580.44 tonnes of carbon emissions (2019: 6,260.43(1) tonnes; 2018: 6,786.11 tonnes). The following tables provide a detailed breakdown of the Group’s travel activity. Data capture was expanded and enhanced in many areas in 2019, which resulted in an increase in the figures for that year.
(1) Figure adjusted retrospectively in the 2020 reporting period.
Rail travel(1)
2018
2019
2020(4)
Passenger kilometers (pkm) for long-distance travel
6,010,148
6,162,620
1,989,343
Pkm for long-distance travel per employee(2)
794.26
794.05(3)
250.89
CO2 equivalents from long-distance travel in tonnes (Scope 3)
0.0
Pkm for local travel
501,531
508,710
176,600
CO2 equivalents from local travel in tonnes (Scope 3)
27.41
27.61
Climate-neutral rail travel in % of total
92.30
92.37
100.00
(1) The figures for 2018 relate to the United Internet Group in Germany without Strato and Drillisch; as from 2019 they include the entire 1&1 Drillisch Group. They are taken from Deutsche Bahn’s annual client environmental data report (“Umweltbilanz”).
(2) The figures relate to the United Internet Group’s employees in Germany; 2018: 7,567; 2019: 7,761; 2020: 7,929.
(3) Figures for 2019 of “Pkm for long-distance travel per employee” adjusted.
(4) The decline in the 2020 figures is due to the restrictions caused by the COVID-19 pandemic. In addition, Deutsche Bahn introduced 100% green electricity for local travel in fiscal year 2020, making climate-neutral travel possible.
Rental cars(1)
2020(5)
Fuel consumption (gasoline and diesel) in liters(2)
172,037.35
127,652.29
67,706.15
Fuel consumption per employee in liters(3)
22.74
16.45
8.54
Total kilometers driven
2,324,829
1,725,031
914,948
CO2 equivalents in tonnes(4) (Scope 3)
312.16
256.78
120.44
(1) The figures relate to the United Internet Group in Germany, in some cases without the 1&1 Drillisch Group’s companies; data capture was expanded and optimized in 2018 to include another external partner.
(2) Calculated on the basis of the average fuel consumption data for passenger cars and station wagons per 100 km provided by the Umweltbundesamt (the Federal Environmental Agency); since 2018: 7.4 l.
(3) The figures relate to the United Internet Group’s employees in Germany; 2018: 7,567; 2019: 7,761; 2020: 7,929.
(4) The figures are based on service provider data.
(5) The decline in the 2020 figures is due to the restrictions caused by the COVID-19 pandemic.
Company cars(1)
Fuel consumption (gasoline and diesel) in liters
1,541,316.09
1,434,708.20
998,712.60
Fuel consumption per company car in liters(2)
2,120.10
2,029.29
1,305.51
Total kilometers driven(3)
22,494,492
21,799,020
15,159,073
Total kilometers driven per company car
30,941.53
30,833.13
19,815.78
CO2 equivalents in tonnes(4) (Scope 1)
4,049.94
3,750.09
3,074.11
(1) The figures relate to the United Internet Group in Germany, 1&1 Versatel, and the 1&1 Drillisch Group, plus new orders by Strato; additionally, in the case of the 1&1 Drillisch Group they include long-term rental cars and fuel for rental cars in some cases; data capture was substantially expanded and optimized in 2018.
(2) Presentation adjusted in 2019, including for the previous year; number of vehicles reported as assets as of December 31 of the reporting period in question: 2018: 727; 2019: 707; 2020: 765; the number of cars in the fleet may vary over the course of the year.
(3) The figures are based on manual data input by users when refueling.
(4) The figures are partly based on service provider data and partly calculated using the conversion factors published by DEFRA for 2018, 2019, and 2020.
Air travel(1)
Kerosene consumed in liters(2)
317,144.43
268,548.81
30,582.15
Kerosene consumed per employee in liters(3)
41.1
35.97
3.99
Total kilometers flown
8,858,782.87
7,501,363.52
861,469.14
2,396.61
2,225.95
385.90
(1) The figures relate to the United Internet Group in Germany, including 1&1 Versatel, Strato, and relevant foreign companies, but not including Drillisch; data capture was substantially expanded and optimized in 2018.
(2) Calculated on the basis of the average kerosene consumption data per passenger and 100 km provided by the Bundesverband der deutschen Luftverkehrswirtschaft (German Aviation Association – BDL); 2018, 2019: 3.58 l; 2020: 3.55 l.
(3) The figures relate to the employees of the companies mentioned under (1).
(4) The figures are based partly on travel agent data and partly on calculations using the conversion factors published by DEFRA for 2018, 2019, and 2020.
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