HIGH 5! Here is the news update of the latest trends from the global technology and startup scene. HIGH 5 is published by Lab1886. This week’s topics are:
Sustainable ride-hailing in Vancouver +++ Transforming McDonald’s +++ Recycling e-scooter batteries +++ Siemensstadt 2.0 +++ Strategies for finding parking spaces
Thanks to excellent public transit services, 53 percent of the population of Vancouver no longer travels to work by car. Although the city has only just authorized ride-hailing services, it has learned from mistakes made by other cities. Strict data sharing, obligatory driver licensing and a long-term congestion charging strategy should make ride-hailing more sustainable.
Digital signage and self-service kiosks were just the start. Now fast-food chain McDonald’s is
taking further steps toward becoming a technology company by buying Apprente, a startup that develops voice-based systems for enhancing the customer service experience. Earlier in 2019, McDonald’s acquired Dynamic Yield – a developer of AI-based menus that include weather and traffic data – plus an interest in mobile app developer Plexure.
Source: The Motley Fool
Micromobility // Electric
While politicians consider deposit-and-return systems for batteries, e-scooter rental firms
have their own ideas. Circ wants to recycle old batteries in charging stations – as does Tier
Mobility, on the basis that even after 600 charging cycles, batteries still deliver up to 80 percent of their original range. Meanwhile, Voi is partnering “with local recycling
Source: Gründerszene (German)
Over the next ten years, Siemens is planning to transform Siemensstadt, a Berlin suburb, into a smart city. Buildings will include research facilities, startup centers and logistics hubs,
as well as Siemens’ largest production plant worldwide, specializing in renewable energy,
transportation and digital infrastructure. To ensure privacy, all data collected from residents
will be subject to Europe’s stringent GDPR. Construction work could start by late 2021.
Math // Parking
Researchers at Boston University and the Santa Fe Institute have presented a mathematical
solution for finding the ideal parking space. First, the two extremes: Either park in the first
space you see, or optimistically drive to the pedestrian entrance and look for a nearby
parking space that minimizes the walking distance. Second, the “prudent” (and best) option: after finding the first available parking space, continue searching for one that’s nearer the entrance. If there isn’t one, drive back to the space you originally found.
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