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New mobility transportation

Plan networks for emerging travel modes

Forecast demand for shared and new mobility, autonomous vehicles, or eVTOL services based on real-world travel behavior.

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Prioritize markets and deploy fleets based on current mobility patterns

Find the best locations and populations to launch new mobility services and expand existing ones based on travel demand.

1
View market-wide data

Understand how all people move across the market, not only your existing customers.

2
Analyze origin-destination travel

See where people are coming from and going to today, either at the road segment level or region-wide, to inform network planning.

3
Enrich traffic patterns with trip characteristics

Get trip details like speed, distance, and more to model demand for other transportation choices like micro-mobility or urban air mobility.

4
Find your target customers

Enhance travel patterns with demographics and trip purpose details to learn more about who is traveling and why in your service area.

Leverage nationwide transportation data to launch services and manage on-the-road or in-the-sky operations

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Market development

Estimate market share of different modes and new mobility technologies across the country to identify new markets for launch.

Fleet deployment

Prioritize cities, neighborhoods, or intersections for deployment based on existing travel demand indicators.

Network planning

Plan new routes and determine optimal service frequency based on Origin-Destination, volumes, and top routes by the time of day and day of the week.

Public engagement

Effectively communicate to and collaborate with government and public stakeholders supported by rigorously validated data insights.

New mobility demand modeling for Uber Air

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The challenge

Uber wanted to estimate demand for Uber Air – exploring new technologies in urban air mobility – and identify the best locations for air taxi hub infrastructure using the movements of all traffic in a city. Although Uber had extensive ride-hailing data, it lacked data on personal vehicles and other modes to populate its model.

Data-driven solution

Uber created the Flux Optimizer model by combining their data with StreetLight metrics, including travel distance, origin-destination, and trip purpose by mode, to visualize 348 million miles of daily traffic. They identified locations for 40 nodes (a group of one or more skyports) based on the transportation data combined with real estate realities, airspace sequencing, and power grid optimization.

StreetLight for New Mobility: At a glance

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Origin-Destination

Get localized or long-distance origin-destination and routing patterns.

Multiple modes

Analyze metrics for cars, trucks, bikes, and pedestrians, and incorporate your own data.

Trip characteristics

Access trip speeds, lengths, and durations alongside volumes.

Traveler attributes

Incorporate contextual features like demographics and trip purpose.

Custom analysis

Partner with expert data scientists to create metrics and models specific to your service and addressable market.

Resources

Explore our library

Case studies, data-driven research, and timely articles to learn how StreetLight solves mobility innovation challenges.

Our customers

See why they chose StreetLight

StreetLight’s multimode trip insights combined with our data helped build the foundation for Uber Air.
Ian Villa
Uber Elevate
In effect, we went back in time to gather information that we had no other way to obtain.
Wendy Tao
Head of Smart Cities, Siemens Intelligent Transportation Systems
StreetLight provides a cost-effective medium to assess O-D patterns at large scale, with minimum biases, and at a fraction of the cost of traditional surveys.
Lucile Kellis
Head of Data Science and Analytics, Steer
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FAQs

Quick answers to questions you may have

Discover everything about the StreetLight’s new mobility features, benefits, and more.

What does new mobility mean in transportation?

New mobility refers to various cutting-edge transportation technologies that are establishing new ways for people to get from place to place. Common examples include autonomous vehicles, electric vertical take-off and landing aircraft (AKA eVTOL), and micro-mobility modes like e-bikes and e-scooters.

What types of new mobility and transportation data does StreetLight offer?

StreetLight’s data on vehicle, bike, and pedestrian activity are already being used by agencies and businesses to measure and map demand for new mobility modes, plan optimal infrastructure deployment (such as where to build eVTOL helipads or electric charging locations), choose eVTOL routes that meet the needs of travelers, and more.

StreetLight Metrics like vehicle, bike, and pedestrian volumes, trip speeds, travel times, and origin-destination (O-D) patterns are just a few of our metrics commonly used to meet these new mobility goals.

Do you need data to inform your next project?

Talk to StreetLight about your needs, and join us in shaping a more efficient, sustainable world.

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