VOOM Survey: Almost 50% of Millennial E-scooter Riders Concerned About Harming Themselves or Others, Yet Most Have Never Thought About Purchasing Insurance
TEL AVIV, Israel and
According to the survey:
- 40% of e-scooter riders have either been in an accident or know someone who has.
- 61% of respondents said they would be willing to spend extra money on top of their ride cost to cover injury and third-party liability insurance.
- 52% of respondents said they would prefer pay-per-ride insurance as opposed to annual or monthly insurance plans for e-scooter ride coverage, reflecting the demand for flexible, usage-based policies to match the nature of e-scooter mobility.
The largest e-scooter companies in the US place the responsibility for accidents on the user alone as part of their rental agreements, a fact most scooter riders are unaware of. Even if a rider has personal health insurance to cover medical bills in case of an accident, excessive deductibles, co-pays, and other limitations often lead to individuals being left with thousands of dollars in fees.
Should a scooter rider injure a pedestrian, cause a car accident, or damage someone else's property, the rider will likely be held responsible. In addition, Auto insurance is likely irrelevant as it typically excludes vehicles with less than four wheels, and standard Homeowner's or Renter's insurance doesn't cover self-propelled vehicles; therefore, riders are left without proper third-party liability protection.
"Riders' preferred modes of mobility have evolved, yet their insurance policies have not evolved along with them. What we now see is a rise of e-scooter accidents across major cities globally, and simultaneously, users unaware that they are not covered until it is too late," said
The survey, conducted in
About VOOM
VOOM is the world's first on-demand, telematics-based insurtech platform for specialized mobility products, dedicated to protecting users for everything they ride, fly, or sail. The company's first product, SkyWatch.AI, leverages the power of machine learning to assess and mitigate risks and provide on-demand insurance for thousands of drone pilots operating across the US and
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