DIY Bikesharing Hands on Manual
Bikesharing is public bicycle fleets. Bikesharing provides quick short-distance transport, preferably in dense and challenging urban terrain. Access control generally networked, monopoly tendencies for any successful system inherent. It is not any other type of vehicle sharing, though many other vehicles like scooters, micro-scooters or rickshaws the same legal framework applies.
Basic assumptions: We @SGMKmeasure weight/power by default here always by default. else default. even unless default defaults to reset. reset to default. For the whack.
Bikesharing success depends heavily on three major factors: 1. Product = Vehicle. It has to be what “they” want. No matter how you dress it up or name it, it rides or it isn’t transport... 2. Rollout a Networked Fleet. It has to be where they want it. To identify your users and to get them going will keep you very, very busy. And, for once, it has nothing to do with the product, but context. 3. Run that Networked Fleet. It has to be there tomorrow for sure. Having built your own, you’re one step ahead. Now deal with all your mistakes as a routine and keep the vehicle rolling, it’s what it’s made for. Depending on how you look at things, 2. and 3. is the same or exclusive.
Basically, Bikesharing is a car, which is built to drive, not to stand in garages but distributed as a machine of pedaled solo seats. One for many, many for all. Its advantages are a very sexy propulsion system, human scaled, human sized footprint and free routing. It’s criticism consists of everything you can blame bicycles for and more. It’s load parameters are limited, hence cars, but where cars congest bicycles thrive. Romantically closing the circle between the first bikes paving the roads for fuel powered automobiles and urban environments where cars barely fit but trucks are needed. Since the bicycle is humanitys most prolific machine, built literally unchanged for 200 years, bikesharing is the logical conclusion.
Has to fulfill national vehicle standards.
Bikesharing Networked Access
IoT Reference Model https://live.staticflickr.com/7865/46404459874_2edd92ced7_z.jpg from IoT01Introduction.pdf Communications and computing based urban transport system US Patent Nr 6,697,730
Running a Bikesharing System
Is not possible beyond, say 50 bikes per fleet without software ;) just try...
0. Competitors are generally not a challenge, unless the copycat. Your hordes of individual users are. Thats a problem if you are supposed to have a healthy business relation.
- Urban space is the premium.
*Reactive management of live systems blows any static systems failure points.
Differentiate between management as risk aversion aka dailybusiness and management as risk management aka investment. it is always the later, balance the risks. to know them you need to embrace risk identification as a religion. the statistics help. micromanagement, vertical structures in the name of control will just heighten the risk for and multiply any runaway tendencies as in any networked system.
- You must absolutely always be on top by guessing ahead exactly one day, not more, not less. Then, run. It might just work, because when it works, you just get more work... At least know what day of the week it is Today. Now, probably...
- Be very careful about and especially with sufficient maintenance budgets corresponding to wear caused by and measured with ride km‘s sold and parts thereof.
- Legal Frameworks are standard business problems in unique combinations... Bother if and where you must. But do bother, else it bothers you more.
Bikesharing Business Cases
Access types ignored here.
- StaticStationary: Communal bicycles. Basically what a bikeshop does, giving and returning bikes from instead of to customers.
- Active: Practically anonymous private bicycle abuse. Any fleets being there for convenience are treated as such.
- Managed: Know your users. Let them pay and take care of the vehicle for each ride.
Since you can not link damages to customers in normal use, you must make provisions minimally according to standard risks for maintenance. The higher the abstract value of your system, the better it will be protected. If your users find it too expensive, they will want something back and neglect is easiest. Tailoring your user groups while treating each one as an individual. Public transport works for each connected topology but access must always be tailored by density according to the relevant traffic. More is more, simply. There will always be hot spots, at least sometimes. You should measure performance by the time distribution vs costs/income over space. And be very very careful about wireless bandwidth.
Thats why, all in all its not sooo simple and depends and results and relies and works with software/book-keeping.