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TRANSPORT AND TRANSFER HUBS
People, living outside the city who want to get around on their own bikes after arriving in the city can safely pick up their bikes at public transport hubs and cycle to work. After work, they can leave their bikes in the same place and return to their homes by train or metro.
COMPANIES AND EMPLOYERS
Companies investing in cycling infrastructure as a benefit for employees. Improving the company's image as an environmentally friendly organization. Attracting and retaining employees through additional benefits.
TARGET GROUP
The Smart Bike Box (SBB) system of lockable bike shelters in city centers is a solution targeted at a specific group of users who expect safety, convenience, and functionality when using bicycles, including electric bikes. Below is an analysis of the potential target groups that could benefit from such infrastructure:
- PUBLIC ORGANIZATIONS AND INSTITUTIONS
Offices, libraries, hospitals and sports facilities in the city center. Improving access to cycling for citizens. Supporting sustainable transport policies. Possibility of obtaining subsidies for the purchase of cycling infrastructure that supports sustainable transport development.
- CUSTOMERS OF SHOPPING CENTERS AND PUBLIC INSTITUTIONS People, most often residents of city centers, commute to do shopping or run errands at public offices. Short-term, secure parking spaces at shopping centers and offices offer the convenience of shopping without worrying about bike theft, while also allowing you to recharge your electric bike.
- PRIVATE USERS OF ELECTRIC BIKES
People, most often residents of city centers, commute to do shopping or run errands at public offices. Short-term, secure parking spaces at shopping centers and offices offer the convenience of shopping without worrying about bike theft, while also allowing you to recharge your electric bike.
We set new trends in the urban space
DIFFERENT VARIANTS MORE POSSIBILITIES
The SCON offer also includes a variant of intelligent shelters without the "green roof" module, which influences the optimization of module production costs.
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