Skip to main content

Gig economy drivers and riders at increased risk of collisions, warns UCL

Self-employed courier or taxi drivers who get their work through apps could be more likely to be involved in a collision, says a new study. The University College London (UCL) research found 63% of ‘gig’ economy respondents – who are not paid a salary - are not provided with safety training about managing risks on the road. The emerging issues for management of occupational road risk in a changing economy: A survey of gig economy drivers, riders and their managers also revealed 65% of drivers did not
September 3, 2018 Read time: 3 mins
Self-employed courier or taxi drivers who get their work through apps could be more likely to be involved in a collision, says a new study.


The University College London (UCL) research found 63% of ‘gig’ economy respondents – who are not paid a salary - are not provided with safety training about managing risks on the road.

The emerging issues for management of occupational road risk in a changing economy: A survey of gig economy drivers, riders and their managers also revealed 65% of drivers did not receive safety equipment such as a high visibility vests.

More than two in five drivers and riders report their vehicle had been damaged in a collision while working – and 8% of respondents said they were also injured.

For the study, Dr Nicola Christie and Heather Ward (UCL 8447 Centre for Transport Studies) carried out 48 qualitative, in-depth interviews with drivers, riders and their managers, and analysed 200 responses to an online survey taken by drivers and riders. The participants included couriers who deliver parcels and food and self-employed taxi drivers.

The document revealed 40% of those using an app found them to be a distraction while driving or riding.

According to UCL, most of the motorbike, moped and scooter courier participants report that the app they use is a distraction as it plays a noise to alert them to a job and provides them with a fixed window to accept it.

“Several participants alluded to personal and third-hand knowledge of security risks including being attacked, acid attacks and bike theft,” the report states.

UCL says other risks to gig economy drivers include tiredness – particularly among parcel couriers – from overwork as participants have admitted they are more likely to take risks such as speeding or jumping red lights to save time.

For the online survey, nearly half of respondents admitted to speeding, two-thirds parked illegally and a third had driven or ridden through a red light.

Ward says the number of hours these drivers need to work and the distances they must travel to earn a stable income increases as more workers enter the economy.

“We know this is an issue but don’t know exactly how far it extends, as not all companies need to report the number of self-employed couriers they use to the government.”

UCL recommends introducing time blocks for couriers to sign up and be paid for, rather than a drop rate. It adds that if drop rates are used they should consider the time taken to travel safely within the speed limit and to carry out tasks such as scanning parcels and obtaining signatures.

Additionally, the document stresses that mobile phones require handling to accept and reject jobs while driving and less distracting interfaces need to be developed by the industry.

Meanwhile, UCL suggests a person within a company should be responsible for managing safety of the people who provide an income for them.  

Christie says: “I hope to see the recommendations in this report taken on board by the 1837 Department for Transport and incorporated into health and safety regulations as the gig economy is set to continue to increase”.

A full copy of the report is available on the %$Linker: 2 External <?xml version="1.0" encoding="utf-16"?><dictionary /> 0 0 0 link-external website false http://www.ucl.ac.uk/news/news-articles/0818/200818-gig-economy-drivers-traffic-collisions false false%>.

UTC

Related Content

  • June 28, 2018
    Mobike e-fences prevent cyclists from illegal parking in Shanghai
    Mobike has partnered with police in Shanghai to implement electronic ‘fences’ that prevent cyclists from parking around People’s Square in Lujiazui and other prohibited areas. The bike sharing company’s new app feature flags these locations up in grey to alert riders. Cyclists who try to park in these areas receive a text alert and an alarm and will lose Mobike points and their app credit rating will drop. Those who continually offend will be banned from using the service. Users can locate recommended pa
  • July 24, 2019
    Self-driving bus collides with pedestrian in Vienna
    A self-driving bus trial in the Austrian capital Vienna has been halted after a collision between a vehicle and pedestrian, says Bloomberg. Authorities are now investing the cause of the incident which led to minor injuries. According to Bloomberg, state broadcaster ORF says the Navya vehicle was driving at 7.5 miles per hour when it hit the 30-year-old woman in the knee. In a statement given to The Verge, Navya said witnesses had seen the pedestrian wearing headphones and looking at a mobile phon
  • May 23, 2018
    AVs could make driving ‘more dangerous’: report
    Automated vehicles (AVs) could make driving more dangerous – that is the stark suggestion from a new report by the International Transport Forum (ITF). The report - Safer Roads with Automated Vehicles? – casts doubt on claims that 90% of road deaths could be avoided because the introduction of AVs would eliminate human error. ITF says such claims are at best “untested”.
  • February 22, 2018
    Terrorists could use driverless cars to mount attacks, researchers warn
    UK Researchers in Oxford and Cambridge have echoed concerns raised by ITS International two years ago about terrorists who could use autonomous cars to carry out attacks – in a report by The Telegraph. The 26 experts including those from Oxford’s Future of Humanity Institute, Cambridge’s Centre For the Study of Existential Risk and OpenAI warned that terrorists could exploit the risks in artificial intelligence (AI) to carry out driverless car crashes and cyber attacks. They added that AI is being rapid