How can car-sharing help to save the planet? (bonus: most popular car sharing apps review)
September 27, 2021
min. read
Climate changes this summer have warned us as never before. Greenhouse gas (GHG) emissions from transportation account for about 29 percent of total U.S. greenhouse gas emissions alone, making it the largest contributor of U.S. GHG emissions. It is not easy to refuse the comfort that car ownership provides. However, nowadays you have the option of sharing cars and only using them when necessary.
At first glance, owning a car looks convenient, and indeed it is in terms of driving. But it also means constant costs and the loss of value of your property - your vehicle. Experts say that a car loses between 15% and 20% of its value each year.
Car owning vs car sharing
What else do car owners pay for? Constant investments have to be made in repairs and maintenance, for example, when washing the car or changing the oil and filling it with gas, or charging in the case of an electric vehicle. In addition, adjustments to the weather conditions are mandatory, for example, changing tires before the winter and summer seasons. The car should have insurance while in traffic and you should also cover parking costs not to mention the fact that you have to have places to park your car that could be easily reached from home, as well as from the office.
You can avoid all those troubles when choosing a ride-sharing option - your car will always be full of gas or charged, clean, and with the equipment that is adjusted to the season. No additional costs - just pay for your ride and leave the car where it is convenient for you. Moreover, if you need a bigger car for the ride with the whole family, you can have it! Just choose a SUV closer to you with the car-sharing option. And pay less for a small car if you are riding alone.
Car sharing is also more convenient than renting a car. Renting invariably means planning, scheduling, and getting to the parking lot for rented cars. Renting sometimes also involves hidden costs. Car-sharing is easier - if the car is not available at the moment at the closest to your location, look around in the app and you will definitely find a spot, where a car is available near you.
Game changer
Nearly 90% of Americans own cars. Unfortunately, this means not only a convenience for car owners but also traffic jams and pollution. And according to The Guardian, this quantity of cars costs the economy $124bn. So car-sharing has been seen as a real game-changer. According to a Berkeley study, one car for sharing can replace 7 to 11 privately owned vehicles. Thus cities can become greener not only in the context of reduced levels of air pollution, but also significantly reduced parking lots. Moreover, this means less wear on roads as fewer cars drives around the streets.
Fine, but what is the real advantage, when there are still a lot of cars on the street? How does this actually help to save the planet? Well, with car-sharing there still will be fewer cars on streets and in traffic. Car-sharing providers are thinking of their business so they will always choose the most fuel-efficient cars. Whenever possible, electric cars are going to be included in their fleet. Electric cars have zero emissions. Also, more small cars are going to be available as people who are driving alone don't need big cars or ones that consume a lot of fuel. This means less air pollution. And the air is also less polluted during the manufacturing process because 1/5 of emissions released in a car’s lifetime come from its production. This amount is even smaller with electric cars as they are smaller themselves so they cause less greenhouse gas emissions in production.
Of course, there are also some downsides to switching to car sharing. For example, manufacturers cannot be happy with smaller demand. A lot of factory workers and their families depend on the demand and income from car production. In addition, fewer public transport users mean less income for public transport companies.
Struggles for car-sharing businesses
There are still quite a lot of struggles for car-sharing business owners. For example, experts emphasize that car sharing is beneficial only in areas with the appropriate population density. In other words, there should be a demand for the service. The biggest challenge of the car-sharing business is to survive in small villages where people usually travel large distances to work and it is more convenient and probably even cheaper for them to have their own cars.
The other issue worth mentioning, which is a challenge faced by big cities is parking lots. There should be enough free spaces in the city to park cars. Especially in high-density areas. If this possibility is not available and users have to travel long distances from the parking lot to the office or house, users will soon lose interest in the service.
What other obstacles should car-sharing business owners consider? Demand for cars via sharing is not constant. There are peak hours that are hard to manage due to the limited amount of vehicles, while users easily get upset if a car is not available when they need it. In addition, people want to use car-sharing across as wide a geographical area as possible. This creates challenges for car-sharing business owners, as there should be enough users all around, who are willing to use the service.
Best car-sharing apps according to Google Play and App Store
● Share Now (car2go & DriveNow)
App Store Rating: 4.8/5
Google Play Rating: 4.4/5
There is no monthly or membership fee - users pay while using the service. Rates depend on vehicle and location and gas is included in the price so there is no need to refuel. There is a 24-hour limit on rental time or the option to select the trip package while indicating the length of the trip. No reservations are required - pick up and drop off the vehicle anywhere within the area of operation.
● Zipcar
App Store Rating: 4.5/5
Google Play Rating: 3.8/5
Zipcar charges $7 per month or a $70 per year membership fee. There is also a one-time $25 application fee. Car sharing service costs $10 per hour or $82 a day. It is possible to rent a car for hours or days however there are a few plans available. Prices vary depending on location. Gas, insurance, and 180 miles are included in the price.
● Getaround
App Store Rating: 4.7/5
Google Play Rating: 3.7/5
This app has a $99 hardware fee. After three months, a $20 per month subscription fee kicks in. Daily rental rates can range from $20 to $80 depending on vehicle quality and insurance is included in the price. A variety of privately-owned cars, vans, and trucks are available. It is possible to rent them by day or hours. Drivers pay for gas and replace what they have used.
● Turo
App Store Rating: 4.8/5
Google Play Rating: 4.9/5
Cars are available on the app anywhere from $20 to $100 depending on vehicle quality and only daily rentals are possible. It has classic and specialty vehicles. Drivers pay for gas and must replace what they have used. Cars can also be delivered to a location if required.
You can take part in the car-sharing business as a user, as well as a car-sharing business owner. If you want to create your own platform, this is what you have to consider and keep in mind.
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Digitizing your vehicle rental business: Best apps & software for small operators
🚗📲 Whether you're renting out cars, bikes or scooters, the best rental businesses in 2025 are fully digital. No more paper contracts or office keys – just tap, unlock, and go. In our latest article, we explore top apps (like Donkey Republic, MOBY Bikes and Forest) that show what a modern rental experience looks like. Plus, we explain where a full platform like ATOM Mobility fits in when you're ready to scale.
January 28, 2026
min. read
Running a rental or sharing business today means delivering a smooth, digital-first experience. Whether you rent cars, bikes, scooters or other vehicles – users expect to book online, pay, verify identity if needed, unlock a vehicle, and ride or drive without extra friction.
To make that happen reliably, you need good vehicle rental software or platform backing your service. Below are some successful examples of apps and platforms that show how this works and what is possible.
Donkey Republic
Operates in several European cities offering shared bikes and e‑bikes. Users find a bike in the app, unlock it with a smartphone, ride, then park at a designated drop‑off spot and end the rental. Pay‑as‑you‑go, daily rates or memberships are all handled via the app.
MOBY Bikes
Targets electric bicycles and e‑cargo bikes across certain regions, with a “tap‑and‑ride” system that uses its proprietary app for booking, unlocking, and rental management. The platform supports mixed-use fleets (shared bikes, cargo bikes, delivery fleet, even B2B rentals), which illustrates flexibility – useful for operators exploring different business models beyond simple consumer rentals.
Forest
It is a dockless e‑bike sharing operator in London. It runs a large fleet and offers bike‑sharing through a mobile app. The service demonstrates how a relatively simple, dockless rental model can scale at urban level using app‑based rentals, unlocking, and flexible parking.
These examples show how micromobility‑focused services already rely on booking, payment, unlocking and fleet management tech – the same core capabilities needed by any modern vehicle rental business.
What makes these apps work – and what to borrow from them
From these operators you can observe several useful traits that a good rental/sharing software should provide:
- Seamless user journey: crate account in seconds → search → book → unlock → ride/drive → return. Users don’t need paper contracts or to meet staff to get a vehicle.
- Flexible pricing & rental models: per-minute, hourly, daily, subscription, memberships – enables both occasional users and frequent commuters.
- Smart access control and vehicle tracking: unlocking via app or smart lock, GPS tracking, drop‑off in defined zones or docking stations, helps maintain order, reduce theft, and support dockless models.
- Support for different vehicle types: from bikes to e‑bikes and cargo bikes – showing that underlying software can be agnostic to vehicle type, useful if you plan a mixed fleet.
- Scalable fleet operations and maintenance: availability updates, booking history, maintenance logs, geofencing or parking zones – these help manage many vehicles across zones without chaos.
These are exactly the kinds of features you need when you move from small‑scale operation to proper fleet business.
Why to choose ATOM Mobility
If you plan to just test the market or to operate a larger and more complex fleet - multiple vehicle types, multiple cities, or advanced operational requirements - a full-stack platform like ATOM Mobility becomes essential.
ATOM Mobility is designed for operators who need full control over the entire mobility operation: booking flows, unlocking logic, payments, KYC/ID verification, backend administration, fleet analytics, dynamic pricing, and multi-modal rentals across cars, scooters, bikes, and more.
The platform provides a unified backend that supports cars, scooters, e-bikes, mopeds, and additional vehicle types within a single system. Operators can manage bookings, payments, users, smart locks or connected vehicles, fleet health, and city-level scaling without fragmenting their tech stack as the business grows.
This approach offers far greater flexibility than single-vehicle or bike-only solutions and removes the need to migrate systems when expanding into new vehicle categories or markets. Check out the full service here.
How to choose: when to use franchising vs full platform
Join a franchising when you:
- prefer operating under an established brand
- value a clear operational playbook and central support
- want simpler marketing thanks to brand recognition
- are comfortable with limited control over technology and product decisions
- accept franchise fees or revenue sharing in exchange for convenience
- don’t need heavy customization or experimentation
Use a full platform (like ATOM Mobility) when you:
- aim to manage a larger, mixed fleet (cars, scooters, bikes, e-bikes)
- need full backend control (admin, analytics, pricing, reporting)
- require payments, KYC/ID verification, and automation built in
- want freedom to customize booking flows, pricing, and partnerships
- plan to scale across cities or add new vehicle types over time
- prioritise brand ownership and customer relationship control
- want no revenue sharing or franchise fees
There isn’t a one‑size‑fits‑all solution
For simple bike or e-bike fleets, the technology barrier is already low. Joining a franchise can be a fast way to get operations running with minimal setup.
However, operators with long-term ambitions - expanding into multiple vehicle types, scaling across locations, or maintaining consistent service quality - typically outgrow narrow tools. In those cases, a full-stack platform like ATOM Mobility offers the flexibility and control needed to support growth without rebuilding the tech foundation later.
Some operators start small and migrate as complexity increases. Others choose to build on a full platform from day one to avoid future transitions. The right choice depends on how clearly you define your growth path, desired level of control, and operational complexity from the start.
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How AI is already powering shared mobility: Real-world use cases from ATOM Mobility
📱AI in shared mobility isn’t a future trend – it’s already here, and for good. From detecting car damage to forecasting demand and verifying parking in real time, operators are using AI to reduce manual work and run more efficient fleets. In this new article, we break down 3 real use cases already live on the ATOM Mobility platform: 👁️ Vision AI, 🔍 Precision AI, 📊 Prediction AI. See how AI is changing shared mobility, and how you can start using it now.
January 21, 2026
min. read
Artificial intelligence is no longer just a trend in mobility. For modern vehicle sharing and rental services, AI is already solving real operational problems and unlocking new ways to grow. At ATOM Mobility, several AI-powered features have already been implemented into live products and tested by operators across Europe.
This article shares three real-world AI use cases that are already helping operators reduce manual work, improve asset control, and better match vehicle availability to demand.
1. Vision AI: Camera-based parking control for micromobility
Micromobility parking continues to be a challenge in cities where dockless vehicles can end up blocking sidewalks, crossings or entrances. Manual checks are costly and often too slow to solve the problem in real time.
ATOM Mobility now uses computer vision to solve this. With Vision AI, riders take a photo when ending their ride. The system analyses the image using a neural network to understand if the vehicle is parked correctly – within a designated zone and without creating obstructions. If not, the app notifies the user and prevents trip completion until the parking is corrected.Each parking photo is automatically tagged as “Good parking”, “Improvable parking” (the user receives guidance on how to improve the parking), or “Bad parking” (the user is asked to re-park).
If the user fails to submit a “Good parking” photo after several attempts, the system will accept the photo with its current tag (“Improvable” or “Bad parking”) and flag it in the dashboard for further customer support review.
This solution has been live with many operators already. It helps reduce complaints, improve compliance with city regulations, and lowers the need for manual reviews.
2. Precision AI: Detecting car rental damages with cameras and machine learning
In traditional car rental, damage inspection is slow, manual, and often inconsistent. With self-service rentals becoming more popular, operators need a smarter and faster way to verify a vehicle’s condition between trips.
ATOM Mobility has integrated AI-powered damage detection using computer vision. Customers scan the vehicle at pick-up and drop-off. The app compares images and flags scratches, dents, or other visible damage with high accuracy. This allows operators to quickly assess responsibility and reduce disputes.
The system helps protect the fleet, lowers repair costs, and adds trust for both users and operators. It’s especially useful for car sharing and self-service rental models where physical handovers are skipped.
3. Prediction AI: Forecasting demand and automating vehicle relocation
One of the biggest cost factors in shared mobility is rebalancing the fleet. If scooters or cars are idle in the wrong location, revenue is lost. At the same time, relocating vehicles manually is expensive and not always efficient.
ATOM’s AI models use historical trip data, usage trends and contextual signals (such as day of the week or weather) to forecast demand and suggest the best relocation zones. This gives operators a map of where and when to move vehicles – improving utilisation and saving time.
The system can even be combined with automated relocation logic, where users are incentivised to park in high-demand areas. This shifts part of the rebalancing cost from operators to riders and keeps the fleet productive.
Why this matters now
AI tools are finally reaching the stage where they can operate reliably, even in complex environments like cities. These examples are not abstract ideas or lab tests. They’re active features helping ourcustomers run leaner, smarter fleets today.
For micromobility operators, Vision AI reduces complaints and ensures regulatory compliance. For car rental providers, Precision AI saves hours of staff time and improves trust. And for both, Prediction AI improves margins by making sure vehicles are where users need them.
What’s up next?
These are just the first steps. AI in mobility will continue to expand with smarter pricing engines, voice-based support, predictive maintenance, and more. But the examples above already prove that even small AI integrations can bring major improvements.
At ATOM Mobility, we continue building these tools directly into our platform so that operators don’t need to develop them in-house. If you want to see how these AI-powered features work in action, get in touch with our team.
AI in shared mobility is not about replacing people. It’s about giving operators better tools to run faster, smarter, and more efficient services.
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