Skip to main content

Limebike launches Electric Assist Bikes

Smart bikeshare provider LimeBike has integrated electric assist bikes into its fleet with the intention of providing the public with a quick and more affordable solution than driving or using traditional ride-sharing services. They will be available in existing markets in Seattle, Miami, Scottsdale, Southern California and greater San Francisco bay area from January 2018. Called Lime-E, the bikes cost $1 (73p) to unlock and an additional $1 (73p) for every ten minutes of riding time with a maximum speed
January 9, 2018 Read time: 2 mins

Smart bikeshare provider LimeBike has integrated electric assist bikes into its fleet with the intention of providing the public with a quick and more affordable solution than driving or using traditional ride-sharing services. They will be available in existing markets in Seattle, Miami, Scottsdale, Southern California and greater San Francisco bay area from January 2018.

Called Lime-E, the bikes cost $1 (73p) to unlock and an additional $1 (73p) for every ten minutes of riding time with a maximum speed of 15mph. In addition, its power will smartly adjust to the users’ natural pedal experience.

Limebike will also offer discounted pricing of the solution for low-income riders and students.

Toby Sun, CEO and co-founder of LimeBike, said: 2018 is shaping up to be a landmark year for the global bikeshare movement. As the fastest growing smart mobility solution company, LimeBike is evolving to respond to the limitations of traditional, docked bikeshare services based on cost, accessibility and overall aging infrastructure. Our electric-assist bike, Lime-E, will provide cities a fast, efficient, equitable source of first-and-last mile transportation at absolutely no cost to taxpayers and minimal cost to riders."

More information is available %$Linker: 2 External <?xml version="1.0" encoding="utf-16"?><dictionary /> 0 0 0 link-external here Lime Bike website link false http://www.limebike.com/blog false false%>.

Related Content

  • November 25, 2014
    ATRI seeks input on truck platooning
    Working in collaboration with two FHWA-sponsored project teams, the American Transportation Research Institute (ATRI) is conducting research to explore trucking industry perspectives on the use of automated truck platooning, also known as Driver Assistive Truck Platooning. This concept is based on a system that controls inter-vehicle spacing based on information from forward-looking radars and direct vehicle-to-vehicle communications. Braking and other operational data is constantly exchanged between th
  • May 2, 2014
    Register for USDOT connected vehicle PlugFests
    The USDOT will hold its next two connected vehicle PlugFests on 13-15 May in Farmington Hills, Michigan and on 24-26 June in Palo Alto, California. PlugFests provide venues for vendor-to-vendor connected vehicle device testing to help ensure that devices and systems meet the base standard requirements and level of interoperability necessary for the Southeast Michigan Connected Vehicle Test Bed Deployment 2014 Project.
  • July 2, 2013
    Ertico launches ITS standardisation newsletter
    To ensure that ITS stakeholders and end users maintain an awareness of the European and international ITS standardisation that plays a key role developing specifications and norms for future services and products, Ertico-ITS Europe has launched its ITS standardisation newsletter which provides news, background information and discussions about ITS standardisation topics. Published every 3 months, it includes stakeholder interviews to provide first-hand information and an event listing.
  • January 3, 2018
    Inrix integrates parking solution with ultrasonic sensors
    Inrix has introduced new technology that uses ultrasonic sensors (USS) to scan, collect, and transmit real-time parking occupancy information to help guide drivers to available parking spaces. It will also help to enhance the quality of Inrix Parking. As the car is moving down the road, USS transmit sound waves and collects data on parked cars and empty spaces. It is then sent anonymously to the Parking Cloud to be analysed and combined with the parking availability prediction engine which determines block