BIKE BIZ
REVOLUTION
3. SEPTEMBER 2019
CONFERENCE FOR VISIONARIES
Challenges for the Industry
SCOTT MONTGOMERY:
All manufactures will enter the end consumer game
Prof. Thomas Sauter-Servaes sees many opportunities 1. Car traffic today is extremely inefficient Sauter-Servaes puts it down to four factors. Energy efficiency for power transmission is currently 25 percent on average, the rest being heat and friction. E-mobility can increase this to up to 95 percent. On average, cars are only used up to 20% of their capacity. Ridesharing offers such as Mois or BlaBlaCar can almost triple this to 55 percent. Duration of use is also extremely low at around five percent. The rest of the time, cars are parked, and not being used. This is where carsharing comes into play. The unused vehicle is rented out and its usage rate increases on average to 20 percent. When it comes to safety, cars today only achieve ten percent of what is possible. Autonomous technical systems make a value close to 100 percent possible, at least in theory. 2. Cars are getting connected Finely tuned mobility systems where the bicycle will also play a major role will be the result. As an example, Sauter-Servaes cites where Dallas, for example, ticketing for public transport is already in-
DATEN IN DER RADBRANCHE:
the model lies in the fact that people with similar interests can be brought together via the platform. 4. Car use is becoming a convenience Autonomous vehicles are the supporting structure of the taxi republic. Instead of owning a car, a customer can always call a car if he needs one. This will also change rural areas, where there is currently no alternative to owning your own car. 5. The onus is on the local authorities If traffic becomes more efficient, fewer vehicles will be needed and this is the chance to free up urban space, especially parking areas. It is up to the local authorities to make the most of this opportunity and it is up to the cycling industry to position itself strongly here and to position the bicycle as an efficient, ecological and space-saving means of transport in the city. „For years, it was a question of availability whether new forms of mobility would prevail,“ concludes Sauter-Servaes, „today it is only a question of acceptance. The assets are all there“. And change is rapid, as you can see from the example of the e-scooter.
Thusbass sees five serious problems: - L ack of standards: many manufacturers use different names for the same colour - V ariable intervals: New products come at the „wrong“ time, so there is no time to correct/ change the data later. - Data is constantly changing.
- L ack of motivation for improvement. The product data system has become so complicated for many manufacturers that no one really knows anything about it.
tegrated into the Uber app. Or, Whim, a subscription model, which combines different means of transport in Helsinki, in its app. The car is becoming the extended arm of a smartphone and manufacturers like Tesla are in daily contact with their customers. In some cities, Whim is already offering combined transport subscriptions
The boundaries between public transport and private vehicles are becoming increasingly blurred. Privately used cars are being made available to the public, for example via BlaBlaCar ridesharing agency. For Thomas Sauter-Servaes, the charm of
Alex Thusbass is fighting for better product data. His Dealer Centre only works really well as a virtual extension of the POS if he receives the current data from the manufacturers very quickly and can make it available to the dealers. But the problem is much bigger than this. Poor data makes cooperating across system boundaries more difficult and opens up the market to new third parties, especially in terms of digitisation.
- M anufacturer data is often not consistent. There are suppliers with one EAN number for two different products.
Uber wants to make its app the linchpin of new mobility. Not only Jump e-bikes should help, but also the public transport tickets from masabi
3. Cars are being used collectively
Not enough motivation
The solution, in Alex Thusbass‘s point of view, needs to be a mixture of technology and machine. Processing data manually won’t work in the long run. This means that it will take longer to get started initially, but it’s worth it.
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