There is a whole cluster of enterprises associated with bicycles. Selling a bike is only the first we might think of. Repair works are the most tricky part of bikenomics, a bit like bidenomics. In many cities during spring and summer it is even more difficult to get an appointment for bicycle repairs than for a doctor’s appointment, and that can be hard at times. Shortages of skilled technicians are pervasive in this sector. DIY for do it yourself is the best alternative. With the arrival of e-bikes and the digital connectivity the skill set has been enhanced recently as well. Insurance for bikes, lockers, helmets, airbag system or clothing including spectacles are part of the standard safety and security set of bicycle riders nowadays. Many, many job opportunities there and the willingness to pay for bicycles has steadily increased over the last years.
Berlin has just seen its 48th bicycle demonstration in 2024-6 on roads including 2 motorways with several ten thousands of participants. In a star like fashion multiple tracks met at the city center. The final meeting with stands and information was at the Deutsche Technik Museum with refreshments and repairs. The exhibition of cargo bikes and taxi bikes or “rickshaws” was another highlight. We need to rethink our mobility concepts and try to get the sharing to work more comfortably. For different purposes and activities you need a different bike. Ownership of each is no longer adequate as for example with aging alone your preferences for mobility with bikes also changes. Sharing is caring and this is also part of bikenomics.


















The AI ChatGPT is advocating AI for the PS for mainly 4 reasons: (1) efficiency purposes; (2) personalisation of services; (3) citizen engagement; (4) citizen satisfaction. (See image below). The perspective of employees of the public services is not really part of the answer by ChatGPT. This is a more ambiguous part of the answer and would probably need more space and additional explicit prompts to solicit an explicit answer on the issue. With all the know issues of concern of AI like gender bias or biased data as input, the introduction of AI in public services has to be accompanied by a thorough monitoring process. The legal limits to applications of AI are more severe in public services as the production of official documents is subject to additional security concerns.







The comparison of December and January figures across years reflect the months with high sensitivity of the public for heat and cold. Further reductions of gas consumption is feasible due to the mild winter months of 23/24 which allow to reduce heating costs for many households and offices. Good news for the planet and hopefully a move in the right direction to shift away from heating with gas. 

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