
Technology is helping transform the future of urban transportation by influencing what mobility will look like, and how it will impact the modern city-scape. A recent article by Forbes Technology Council explained that there is a shared consensus around the four key features of future mobility: shared, hybrid, autonomous and electric. The next question becomes, what will mobility services will be available in the coming years? We have done some research to help breakdown the different perspectives on shared mobility as a mode of transportation in the future.
Why electric?

By 2040, electric cars will outsell gasoline-powered cars
Recently consumers have shifted their interest towards electric vehicles as a more sustainable and environmentally conscious option for long-distance travel. Predictions expect electric vehicles to surpass traditional combustion cars within the next 20 years, with 57% of passenger vehicles and more than 30% of global passenger vehicle fleet sales being electric by 2040. With this growth also comes a need for additional charging infrastructure to allow the vehicles to travel further over long distances. Currently there are about 13,000 electric vehicle fast charging stations across the US, compared to roughly 332,000 gas stations. Companies such as Volkswagon, GM and Tesla, have announced they are working on creating charging that will help drive sales in the future. Successful expansion into the market will require cities to develop smart plans that accommodate the needs of electric mobility.
Why shared?
Shared mobility has grown extensively since Uber (2009) and Lyft (2012) first entered the market. More and more operators continue to emerge worldwide, offering at least one ridesharing service to people in over 700 cities. These services are expected to expand even further in the future as a result of increased urbanization, as well as growing concerns around sustainability, economic stability and emissions. A report by the Internet of Things’ analyst firm, Berg Insights, found the number of car-sharing service users will grow from 50.4 million people in 2018 to 227.1 million people in 2023. Offering mobility as a service is helping reduce the number of single-use vehicles on the road, lending itself to a more functional form of travel.
Why autonomous?
A major challenge facing urban drivers is the issue of congestion and traffic jams. In some metropolitan cities, such as London, the problem lead to the enforcement of congestion charges in their most heavily populated neighbourhoods. In effect since 2003, these charges have helped reduce traffic by 30%, will simultaneously generating funds for the city. But is that enough? Autonomous vehicles are believed to be the next step in reducing congestion. A study conducted by researchers at the University of Cambridge found that when a fleet of autonomous vehicles are effectively communicating, keeping traffic moving smoothly, congestion rates could be reduced by 35%.
Why hybrid?
Micro-mobility is the use of small mobility devices, designed to carry one or two people, or ‘last-mile’ deliveries. This goes hand-in-hand with the rising interest in e-scooters and e-bikes that have seen exceptional sales growth in recent years. The combination of electric with single-use, lightweight vehicles is expected to surpass traditional modes of transportation. In their annual technology, media and telecommunications predictions, Deloitte predicted more than 130 million e-bikes will be sold between 2020 and 2023. Compared to the 1.8 million sold in Europe and 185,000 in the US during 2013, this significant increase suggests that e-bikes and other technology like it are the future of mobility.
How are city’s supporting?
Cities across the world have begun adapting strategies to assist with the future of urban mobility. Being the leader in reducing traffic, Singapore introduced Area licencing Scheme in 1975, enforcing a daily toll charge of $3 or $60 monthly for cars entering a central zone area during peak hours. The city experienced success resulting in fewer cars entering the zone during peak hours, a 35 percent increase in carpools and a minimum of $500 million saved by the city that could be used towards infrastructure improvements. The system has since been updated to an Electrical Road Pricing system in order to match the changing demands of the city’s core.
San Francisco has yet to enforce congestion pricing for its traffic heavy neighbourhoods, however, research is being conducted to determine the best solutions for the city. The Emerging Mobility Evaluation Report by the San Francisco Transportation Authority found 90 percent of all motor vehicle collisions are caused by human error, with approximately 80 percent involving some level of inattention. This has lead to a shift towards alternative modes of mobility and potential pilot projects within the city core. San Francisco has become known for its low income bike share programs. Launching in 2013 the Bay Area Bike Share Pilot requires at least 20% of stations be located in low-income communities, with an estimated 320 stations and 4,500 in 2017. Data collected by the Bike-sharing Blog estimates there are twice as many bike-sharing programs in the world as there were in 2014, with nearly 20 times more bikes available for public use.
The doors have opened for industry leaders to start making innovations within auto-mobility, influencing the modern city-scape. In addition to placing restrictions on heavily congested areas, the city of Helsinki has focused its efforts on improving the existing infrastructure and transportation options to encourage people to utilize other modes of mobility. A leader in mobility-as-a-service (MaaS) platforms, the city plans to replace 2.3 billion urban private car journeys annually by 2023. One of the ways it’s begun to accomplish this is through the app Whim. An app developed specifically for Helsinki, Whim provides access to all of the city’s mobility options through a monthly subscription. The future of mobility is at people’s fingertips.
What’s next?
Cities around the world are beginning to explore the possibilities of e-scooters as a means to travel short distances too far to comfortably walk, as well as a potential solution towards reducing the reliance on cars. The city of Tallahassee launched a pilot program in partnership with five major e-scooter companies: Bird, Lime, VeoRide, Spin and Gotch. The purpose is to determine solutions for the major problems being faced, but to also help develop good ridership habits. The companies deployed 200 e-scooters, each capable of travelling 15 mph, under new legislation that allows them to be treated the same as bicycles. With the success of programs such as this, and companies making pledging to maintain social responsibility for user safety, e-scooters as a primary mode of mobility are on the rise.
Nuro, a self-driving start-up, is one of the few companies to currently have a fleet of fully driverless vehicles operating on public roads. In February 2019, the company secured roughly $1 billion in additional funding from SoftBank allowing them to partner with the grocery-store chain Kroeger’s for a pilot project. The pilot service has been delivering groceries in Houston, Texas since March 2019, with expansions to include other goods like Domino's Pizza and Walmart products. As of right now the fleet stands at about 75 vehicles, with plans to go public in 2020. By introducing fully automated vehicles into the market, the number of people on the road will be reduced, optimizing efficiency and offering greater protection from potential collisions or incidents.

Nuro self-driving vehicle
In addition to reducing traffic in major cities, mobility companies are also focusing their resources on addressing concerns of energy consumption and emissions. The smart scooter mobility company, Gogoro, aims to leverage the power of technology in order to change the way technology is consumed and transform how cities operate to improve sustainability. Their first fleet of smart scooters launched in 2015, delivering a high performance electric riding experience to uses in Taiwan. The company also established a network known as the Gogoro Energy Network in Taipei offers more than 1,581 battery swap stations and supports over 199,478 battery exchanges every day. In Europe, a fleet of 3,500 emissionless smart scooters were released across three major countries in 2018, helping reduce CO2 emissions by 123,655 tons and displacing more than 58,731,863 liters of gasoline. By leveraging technological progress and innovations in modern infrastructure, Gogoro is becoming a leader in transportation solutions.

Electric scooter Gogoro with swappable batteries
Companies, like Tortoise, are looking to expand the capabilities of scooters even further by introducing fleets that can move autonomously across a city and reposition themselves, without a rider. The goal is to tackle the biggest challenge currently facing operators: relocating scooters. Tortoise plans to use autonomous technology combined with teleoperation to reposition and rebalance dockless, shared e-scooters in cities. The initial deployment will include between 50 to 100 scooters per operator in each market with the intention to equip every fleet with the ability to autonomously reposition themselves. Autonomous micro-mobility like e-scooters and e-bikes are believed to be the start for creating smarter, more technologically advanced cities.
How can we help?
As both industry leaders and cities around the world are finding new ways to support the rising trend of micro-mobility, we at ATOM Mobility want to help entrepreneurs looking to enter the market. We believe that shared mobility is the future of transportation, offering assistance with integrating industry-leading vehicles ready for shared mobility, including kick scooters, scooters, bikes, mopeds, cars and more. Our customers have an excellent grasp on the current needs of local markets, and we allow them to focus on marketing and operations, while taking care of the technology.
Sources:
https://www.bbc.com/news/technology-33183031
https://www.corporateknights.com/channels/transportation/sharing-road-canadian-cities-driving-progress-shared-mobility-15593076/
https://www.forbes.com/sites/forbestechcouncil/2019/11/22/four-keys-to-future-mobility-shared-hybrid-integrated-and-electric/#3feea979339d
https://edition.cnn.com/2019/07/18/cars/electric-car-market-sales/index.html
https://about.bnef.com/electric-vehicle-outlook/
https://www.businessinsider.com/ubers-history#june-2016-kalanick-proclaims-that-uber-was-profitable-in-hundreds-of-cities-globally-but-that-the-money-was-being-reinvested-in-its-war-against-chinese-rival-didi-the-company-said-at-the-time-that-it-was-losing-1-billion-each-year-in-its-fight-against-didi-34
https://www.cnbc.com/2019/11/08/top-ride-sharing-apps-in-europe-asia-south-america-africa-and-usa.html
https://iotbusinessnews.com/2019/11/14/60333-the-public-carsharing-fleet-reached-332000-vehicles-worldwide-in-2018/
https://www.bbc.com/news/world-us-canada-47874725
https://www.sciencedaily.com/releases/2019/05/190519191641.htm
https://assets.publishing.service.gov.uk/government/uploads/system/uploads/attachment_data/file/846593/future-of-mobility-strategy.pdf
https://www2.deloitte.com/content/dam/insights/us/articles/722835_tmt-predictions-2020/DI_TMT-Prediction-2020.pdf
https://eresources.nlb.gov.sg/infopedia/articles/SIP_777_2004-12-13.html
https://eresources.nlb.gov.sg/infopedia/articles/SIP_832__2009-01-05.html
http://sfcta.org/sites/default/files/2019-03/Emerging%20Mobility%20Studies_11.pdf
https://www.sfmta.com/getting-around/bike/bike-share
https://www.businessinsider.com/bike-sharing-programs-doubled-since-2014-public-bikes-charts-2018-7?IR=T
https://www.smartcitiesworld.net/news/news/helsinki-leads-in-mobility-as-a-service-3308
https://whimapp.com/
https://eu.tallahassee.com/story/news/2019/07/15/electric-scooters-tallahassee-florida-bird-scooters-rental-gotcha-lime-spin-veoride-escooters/1708270001/
https://www.wctv.tv/content/news/Five-companies-launch-e-scooters-in-Tallahassee-during-pilot-program-512748851.html
https://nuro.ai/product
https://www.wired.com/story/softbank-nuro-self-driving-investment/
https://qz.com/1644476/nuro-will-deliver-dominos-pizza-with-its-robots-in-houston/
https://www.theverge.com/2019/12/10/21004678/nuros-driverless-delivery-robots-walmart-houston
https://medium.com/nuro/new-rules-of-the-road-for-california-and-autonomous-vehicles-2fa26a1159cb
https://www.gogoro.com/about/
https://www.tortoise.dev/
https://www.theverge.com/2019/10/15/20910083/tortoise-autonomous-electric-scooters-self-driving-robotics
https://www.fastcompany.com/90417611/it-was-inevitable-the-scooters-are-now-driving-themselves
Click below to learn more or request a demo.

📉 Every unmet search is lost revenue. The unmet demand heatmap shows where users actively searched for vehicles but none were available - giving operators clear, search-based demand signals to rebalance fleets 🚚, improve conversions 📈, and grow smarter 🧠.
Fleet operators don’t lose revenue because of lack of demand - they lose it because demand appears in the wrong place at the wrong time. That’s exactly the problem the Unmet demand heatmap solves.
This new analytics layer from ATOM Mobility shows where users actively searched for vehicles but couldn’t find any within reach. Not guesses. Not assumptions. Real, proven demand currently left on the table.
What is the unmet demand heatmap?
The unmet demand heatmap highlights locations where:
- A user opened the app
- Actively searched for available vehicles
- No vehicle was found within the defined search radius
In other words: high-intent users who wanted to ride, but couldn’t. Unlike generic “app open” data, unmet demand is recorded only when a real vehicle search happens, making this one of the most actionable datasets for operators.
Why unmet demand is more valuable than app opens
Many analytics tools track where users open the app (ATOM Mobility provides this data too). That’s useful - but incomplete. Unmet demand answers a much stronger question:
Where did users try to ride and failed? That difference matters.
Unmet demand data is:
✅ Intent-driven (search-based, not passive)
✅ Directly tied to lost revenue
✅ Immediately actionable for rebalancing and expansion
✅ Credible for discussions with cities and partners

How it works
Here’s how the logic is implemented under the hood:
1. Search-based trigger. Unmet demand is recorded only when a user performs a vehicle search. No search = no data point.
2. Distance threshold. If no vehicle is available within 1,000 meters, unmet demand is logged.
- The radius can be customized per operator
- Adaptable for dense cities vs. suburban or rural areas
3. Shared + private fleet support. The feature tracks unmet demand for:
- Shared fleets
- Private / restricted fleets (e.g. corporate, residential, campus)
This gives operators a full picture across all use cases.
4. GPS validation. Data is collected only when:
- GPS is enabled
- Location data is successfully received
This ensures accuracy and avoids noise.
Smart data optimization (no inflated demand)
To prevent multiple searches from the same user artificially inflating demand, the system applies intelligent filtering:
- After a location is stored, a 30-minute cooldown is activated
- If the same user searches again within 30 minutes And within 100 meters of the previous location → the record is skipped
- After 30 minutes, a new record is stored - even if the location is unchanged
Result: clean, realistic demand signals, not spammy heatmaps.
Why this matters for operators
📈 Increase revenue
Unmet demand shows exactly where vehicles are missing allowing you to:
- Rebalance fleets faster
- Expand into proven demand zones
- Reduce failed searches and lost rides
🚚 Smarter rebalancing
Instead of guessing where to move vehicles, teams can prioritize:
- High-intent demand hotspots
- Time-based demand patterns
- Areas with repeated unmet searches
🏙 Stronger city conversations
Unmet demand heatmaps are powerful evidence for:
- Permit negotiations
- Zone expansions
- Infrastructure requests
- Data-backed urban planning discussions
📊 Higher conversion rates
Placing vehicles where users actually search improves:
- Search → ride conversion
- User satisfaction
- Retention over time
Built for real operational use
The new unmet demand heatmap is designed to work alongside other analytics layers, including:
- Popular routes heatmap
- Open app heatmap
- Start & end locations heatmap
Operators can also:
- Toggle zone visibility across heatmaps
- Adjust time periods (performance-optimized)
- Combine insights for strategic fleet planning
From missed demand to competitive advantage
Every unmet search is a signal. Every signal is a potential ride. Every ride is revenue. With the unmet demand heatmap, operators stop guessing and start placing vehicles exactly where demand already exists.
👉 If you want to see how unmet demand can unlock growth for your fleet, book a demo with ATOM Mobility and explore how advanced heatmaps turn data into decisions.

🚕 Web-booker is a lightweight ride-hail widget that lets users book rides directly from a website or mobile browser - no app install required. It reduces booking friction, supports hotel and partner demand, and keeps every ride fully synced with the taxi operator’s app and dashboard.
What if ordering a taxi was as easy as booking a room or clicking “Reserve table” on a website?
Meet Web-booker - a lightweight ride-hail booking widget that lets users request a cab directly from a website, without installing or opening the mobile app.
Perfect for hotels, business centers, event venues, airports, and corporate partners.
👉 Live demo: https://app.atommobility.com/taxi-widget
What is Web-booker?
Web-booker is a browser-based ride-hail widget that operators can embed or link to from any website.
The booking happens on the web, but the ride is fully synchronized with the mobile app and operator dashboard.
How it works (simple by design)
No redirects. No app-store friction. No lost users.
- Client places a button or link on their website
- Clicking it opens a new window with the ride-hail widget
- The widget is branded, localized, and connected directly to the operator’s system
- Booking instantly appears in the dashboard and mobile app
Key capabilities operators care about

🎨 Branded & consistent
- Widget color automatically matches the client’s app branding
- Feels like a natural extension of the operator’s ecosystem
- Fully responsive and optimized for mobile browsers, so users can book a ride directly from their phone without installing the app
📱 App growth built in
- QR code and App Store / Google Play links shown directly in the widget
- Smooth upgrade path from web → app
⏱️ Booking flexibility
- Users can request a ride immediately or schedule a ride for a future date and time
- Works the same way across web, mobile browser, and app
- Scheduled bookings are fully synchronized with the operator dashboard and mobile app
🔄 Fully synced ecosystem
- Country code auto-selected based on user location
- Book via web → see the ride in the app (same user credentials)
- Dashboard receives booking data instantly
- Every booking is tagged with Source:
- App
- Web (dashboard bookings)
- Booker (website widget)
- API
🔐 Clean & secure session handling
- User is logged out automatically when leaving the page
- No persistent browser sessions
💵 Payments logic
- New users: cash only
- Existing users: can choose saved payment methods
- If cash is not enabled → clear message prompts booking via the app
This keeps fraud low while preserving conversion.
✅ Default rollout
- Enabled by default for all ride-hail merchants
- No extra setup required
- Operators decide where and how to use it (hotel partners, landing pages, QR posters, etc.)
Why this matters in practice
Web-booker addresses one of the most common friction points in ride-hailing: users who need a ride now but are not willing to download an app first. By allowing bookings directly from a website, operators can capture high-intent demand at the exact moment it occurs - whether that is on a hotel website, an event page, or a partner landing page.
At the same time, Web-booker makes partnerships with hotels and venues significantly easier. Instead of complex integrations or manual ordering flows, partners can simply place a button or link and immediately enable ride ordering for their guests. Importantly, this approach does not block long-term app growth. The booking flow still promotes the mobile app through QR codes and store links, allowing operators to convert web users into app users over time - without forcing the install upfront.
Web-booker is not designed to replace the mobile app. It extends the acquisition funnel by adding a low-friction entry point, while keeping all bookings fully synchronized with the operator’s app and dashboard.
👉 Try the demo
https://app.atommobility.com/taxi-widget
Want to explore a ride-hail or taxi solution for your business - or migrate to a more flexible platform? Visit: https://www.atommobility.com/products/ride-hailing


