Skip to main content

Melbourne and bike-share firm oBike part ways

Singapore-based bicycle-share firm oBike has “temporarily withdrawn” from Melbourne, according to city authorities. Unlike many other bike-share schemes worldwide, oBike has no docking stations – and this has meant that oBikes have been abandoned around the city by users. Pictures of the distinctive yellow bikes in trees, on bus shelters and in the Yarra river circulated widely on social media. A memorandum of understanding (MOU) between the city and the company says that oBike is responsible for ensu
June 20, 2018 Read time: 2 mins
Singapore-based bicycle-share firm oBike has “temporarily withdrawn” from Melbourne, according to city authorities. Unlike many other bike-share schemes worldwide, oBike has no docking stations – and this has meant that oBikes have been abandoned around the city by users.


Pictures of the distinctive yellow bikes in trees, on bus shelters and in the Yarra river circulated widely on social media.

A memorandum of understanding (MOU) between the city and the company says that oBike is responsible for ensuring that its bikes do not obstruct footpath access, are parked upright at all times, are not parked on traffic islands or against trees, buildings, light poles or street furniture and that “any dangerously-placed oBikes are relocated within two hours”.

The city has the power to confiscate and impound the bikes. On its Twitter feed, the City of Melbourne announced: “We're working closely with them to remove the remaining oBikes. We recommend people stop using @AustraliaObike & have asked the company to switch off their booking facility.”

But the city has suggested that new legislation is required, and says it has asked Victoria’s state government “to establish more fit-for-purpose overall regulatory arrangements as a matter of priority. While this MOU is a step in the right direction, the development of dockless bike sharing requires specific regulatory responses that are not currently available to local governments”.

The Melbourne Bike Share service, which requires bikes to be picked up and returned to designated docking stations, continues to be available.

UTC

Related Content

  • September 4, 2018
    ASECAP examines tolling’s trials, tribulations and triumphs
    If you want to get up to speed on the main issues facing the transport sector and tolling companies, ASECAP Study Days event in Ljubljana was a good place to start. Colin Sowman reports (Photographs: Louis David). Increasing populations, ever-higher technical and safety requirements, and electric and hybrid vehicles will provide both challenges and opportunities for tolling companies. The annual Study Days event organised by ASECAP (the European association for tolling companies) examined all of these aspec
  • October 24, 2017
    Outsourcing security weakness for Sweden’s driver and vehicle data
    The security of driver and vehicle data hit the headlines this summer in Sweden and its authorities are still dealing with the fallout. David Crawford reports. epercussions from Sweden’s vehicle data outsourcing scandal continue to reverberate. Transportstyrelsen, the government’s transport agency, came under fire this summer for risking the personal security of over five million motorists by failing to implement full security checks on personnel in other countries to whom individual work packages could
  • June 5, 2023
    15-minute cities: Path to dystopia or storm in a side street?
    Urban planners and transportation professionals will need to address wild accusations about the motives behind 15-minute cities - and relevant criticisms too - if the concept is to scale to its potential
  • November 23, 2018
    Cubic: predictive analytics is putting fortune tellers out of business
    The rise of machine learning and artificial intelligence means that fortune tellers will soon be out of business. Ed Chavis takes a behind the scenes look at the world of predictive analytics ver since organisations started taking advantage of insights derived from Big Data, data scientists concentrated their efforts on the ability to make correct assumptions about the future. A few years later, with the help of automation, developments in machine learning (ML) and advancements in the application of a