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The State of VMT & Congestion: How Rising Trends Impact U.S. Metros

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Travel data analytics

Capture long-distance travel demand

Travel companies like airlines or inter-city bus and rail need to understand mobility beyond their passenger data. Incorporate travel data analytics for all modes to plan routes that service how people are traveling between cities or across the country.

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Optimize your network based on nationwide mobility insights

Validated transportation data analytics inform decisions for network planning and service improvements across the travel industry.

1
Analyze origin-destination travel

Analyze where drivers are coming from and going to and popular routes city-to-city or coast-to-coast.

2
Get a full-journey view

Understand overall regional travel patterns for trips that incorporate multiple modes of travel.

3
Partner to create custom insights

Work closely with StreetLight’s expert data scientists to build metrics and travel demand models unique to your business.

Use trusted mobility data to capture true market demand

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Network planning

Plan new routes and determine optimal service frequency based on where and how people are traveling today.

Demand forecasting

Forecast ticket sales and revenues based on travel patterns of prospective passengers across your region.

Understanding service changes

Leverage data science-driven analytics to assess the impacts of capital improvements within the service area.

Trip chaining

Combine internal ticket data with additional mobility data sources to get a full-picture view of end-to-end journeys.

Forecasting demand for intercity passenger rail transport

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The challenge

Travel companies need to understand how planned upgrades, route additions, or schedule changes could impact ticket sales. A regional train operator in the northeast U.S. needed to assess the impacts of capital and service improvements within their service area. They already had comprehensive ridership data but needed to understand overall regional travel patterns by mode.

Data-based solution

StreetLight used big data analytics expertise to link trip stops together into long-distance journeys. Then, they combined those insights with air travel between five major metros to identify demand from longer-drive trips and flights. The operator confidently updated its regional demand model to better forecast ridership and resultant revenues based on overall market demand.

StreetLight for Travel Businesses: At a glance

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Origin-Destination

Get localized or long-distance origin-destination and routing patterns to make data-driven decisions.

Custom trip metrics

Partner with StreetLight Services to create custom trips based on your service area and addressable market.

Multiple modes of travel

Incorporate travel of cars, trucks, bikes, walking, or client-provided modes.

Trusted data

Transportation data analytics from StreetLight are the most used by public agencies and have been consistently validated by transportation professionals and against permanent traffic counters.

Resources

Explore our library

Case studies, data-driven research, and timely articles to learn how StreetLight helps solve travel industry 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 travel industry features, benefits, and more.

What are travel data analytics?

The travel analytics provided by StreetLight translate trillions of data points from connected vehicles and the Internet of Things into insights about how people travel. These insights about how vehicles, bicycles, and pedestrians move can help transportation companies and other businesses make informed decisions that align with customer demand for air, bus, and rail travel.

How can travel data analytics benefit my rail/bus operation?

Customers, travel and tourism companies, can use StreetLight to understand Origin-Destination patterns, average trip length and travel times, top routes in an area, how many cars are on the road, and other real-time data metrics that shed light on where, when, and why demand for bus, rail, and air travel are highest, informing effective bus routes, rail schedules, airport traffic management, and more.

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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