With the increasing demand for urban public transportation,the rapid growth of shared electric bikes has led to prominent issues such as traffic congestion and vehicle parking.According to relevant statistics,the electric bike market size has grown rapidly in recent years.It will grow from$49.54 billion in 2023 to$56.79 billion in 2024 at a compound annual growth rate(CAGR)of 14.6%.
Shared Electric Bike Chaos: Navigating Scenic Area Management
With the increase in tourism,shared electric bikes have undoubtedly become the preferred choice for tourists compared to congested private cars and inconvenient walking.However,the lack of timely dispatching and haphazard parking has become the biggest burden for scenic area management.Additionally,during the pandemic,controlling the density of visitors in scenic areas has impacted traffic flow,leading to slow passage at entrances and surrounding roads.During various holidays,illegal parking and disorderly placement of shared electric bikes around scenic areas persistently occur.
To meet the needs of users and ensure the healthy development of the industry,it is essential to address issues such as inconvenient bike return,difficulty in finding bikes,and haphazard parking by planning stations rationally,scientifically dispatching vehicles,and standardizing parking methods.
Using IoT Technology to Solve Industry Pain Points with OMNI Intelligence
The aforementioned management methods can be implemented through OMNI Intelligence's shared big data software platform and standardized parking technology.
Firstly,the inconvenience of returning bikes and difficulty in finding bikes are mainly due to unreasonable station settings by operating companies and uneven distribution of vehicles.The OMNI Intelligence shared big data management platform can accurately analyze the travel patterns of people in various urban areas,assisting operating companies in planning the number of stations and vehicles reasonably to maximize meeting users'needs.Combining internet and GPS high-precision positioning technology and enhancing real-time positioning and searching functions help users find bikes quickly and accurately.
Simultaneously,the platform conducts big data analysis based on factors such as the number of users,order volume,distribution of vehicle locations,user riding trajectories,and station borrowing and returning data,enabling the prediction of peak periods such as holidays in advance.This allows for adjustments to supply and demand balance and assists operating companies in implementing scientific dispatching strategies to maximize the application of technological intelligence.
Regarding the issue of haphazard parking,OMNI Intelligence has independently developed various fixed-point parking technologies,including vertical parking,parking beacon,RFID,AI recognition,etc..These IoT technologies meet the requirements of different government and enterprise operations and supervision while achieving user-defined area,point,and directional parking.This truly standardizes the management of shared electric bikes and solves the problem of haphazard parking.
In recent years,the problems of shared electric bike users and operating companies have been continuously exposed,and the subdivision market has gradually returned to rational development from the early stage of barbaric expansion.The current large-scale governance across the country has also forced operating companies to continuously improve the level of refined services,reasonably regulate the scale of shared travel transportation,parking areas,etc.,and promote the healthy and orderly development of the entire shared travel industry while meeting user needs.