Wealthy white men from rural areas are the UK’s biggest emitters of climate-heating gases from transport, according to a study.

Research by the Institute for Public Policy Research (IPPR) looked at transport emissions by income, gender, location, ethnicity and age. The study broke down the transport emissions into international and domestic flights, private road transport and public transport.

The richest 0.1% in Britain emit 22 times more from transport than low earners, and 12 times more than average. The data finds that income is directly linked to levels of mobility, with people who earn more than £100,000 travelling on average at least double the distance each year compared with those on incomes under £30,000.

Those in the most deprived 10% are responsible for by far the fewest emissions, though flying still makes up more than half of their total emissions.

  • AutoTL;DRB
    link
    English
    26 months ago

    This is the best summary I could come up with:


    Wealthy white men from rural areas are the UK’s biggest emitters of climate-heating gases from transport, according to a study.

    They emit more from driving, probably reflecting the reliance on private transport in many rural areas, which are often less well served by buses and trains.

    The study broke emissions down between “white British” and “non-white British” and found that per capita, white people tended to emit more through flights and private transport, and slightly less than non-white people on public transport.

    Maya Singer Hobbs, a senior research fellow at the IPPR, said: “Reducing emissions can actually tackle some of that injustice, if done fairly.

    Stephen Frost, a principal research fellow at the IPPR, said the study demonstrated who was best placed to cut their emissions and how to tackle the “underlying unfairness in who the transport system currently works for”.

    The next UK government must step up the pace by delivering a credible, fair and people-focused plan for more sustainable travel.”


    The original article contains 456 words, the summary contains 162 words. Saved 64%. I’m a bot and I’m open source!