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U.S. Safe Streets Index: How America's metros rank across five key road safety factors

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Real estate site selection software

Confidently invest based on how people move

Use trusted location intelligence, including all vehicle modes, foot traffic, and bike activity, to improve site selection models and forecasts, giving you defensible insights for real estate, insurance, and infrastructure investments.

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Deep real estate site selection software

1
Analyze demand at any location

Zoom in on location-specific demand patterns like exposure and site visits.

2
Capture all types of trips

See a site’s true exposure to passing vehicles, trucks and pedestrians in urban and residential areas

3
Understand your trade area

Get insights into the demographics and fuel types passing by locations to know how to best serve potential visitors

4
Use the most reliable data

Deploy location intelligence solutions that leverage the deepest repository of vehicle data to ensure the most precise site strategy

Invest with confidence using deep location intelligence

 

 

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Financial services

Seed models with up-to-date and historic mobility data as part of investment due diligence.

Management consulting

Advise clients on location intelligence, market trends, or future mobility strategy based on trustworthy traffic data.

Insurance

Model property risk related to car and truck noise, pollution, speeding, high traffic, and nearby dangerous roads or intersections.

Infrastructure asset management

Perform economic studies to model expected future revenue from toll roads based on current driving behaviors compared to up-front investments.

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Measuring the impact of COVID-19 on driving to advise clients

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The challenge

Boston Consulting Group (BCG) analyzed the impact of stay-at-home orders on car travel behavior during the early months of the COVID-19 pandemic. They needed automotive analytics like vehicle miles traveled (VMT) data at varying geographic levels nationwide to understand how policies impacted actual car and commercial truck trips as well as to estimate how they affected tax revenues at the state level.

Data-driven solution

BCG created a “Trip Reduction Index” using StreetLight’s VMT automotive data to measure adherence to stay-at-home policies in each state, county, and MSA. They also used demographic data to determine that a key correlating factor for trip reductions was household income – likely because higher-wage workers were able to work from home. They then estimated the impact of VMT decreases on budgets, and saw that California, Florida, and Texas saw the largest daily gas tax losses.

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StreetLight for Real Estate Asset Management: At a Glance

 

 

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Traffic and Pedestrian Counts

See site demand with a real estate location intelligence solution covering vehicle, bicycle, and foot traffic on more than 25 million road segments covering North America.

Demand Generators

View movement between points of interest, chains, and categories around a site for clear demand forecasting.

Benchmarks & Site Weights

Forecast success by creating a benchmark against top-performing sites with tailored metric weighting.​

Demographics & trip purpose

Make more informed decisions about target markets with contextual features like household income, age range, family status, and why they’re traveling.

Competition and Cannibalization

Understand competitive and cannibalization threats with visitor overlap and movement patterns.

Origin-Destination

Serve your site’s visitors better by knowing where they are coming from and where they are traveling to.

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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

Answers to questions you may have

Discover everything about the features and benefits of StreetLight for financial professionals.

What is real estate site selection software?

Real estate site selection software helps real estate professionals make informed decisions about where to site new store locations. It can also be used to optimize existing real estate portfolios and understand where customer demand may drive strong store performance and economic stability for retail businesses. Site selection software helps retailers forecast potential store visits and sales at a given location based on factors like vehicle traffic, cannibalization risk, and more.

What are the key features and benefits of Streetlight Data’s real estate site selection software?

StreetLight’s real estate site selection software uses location-based data on vehicle activity, foot traffic, traveler demographics, and more to reveal how your potential customers move, leading to siting decisions that drive ROI. StreetLight’s location intelligence data stands out for its high reliability, recency, and spatial and temporal granularity, allowing retailers to understand not just where traffic is high, but how likely that traffic is to drive store visits and when.

What are the primary applications of real estate location intelligence (LI)?

Real estate location intelligence can be used for:

  • Evaluating potential new store locations and choosing the most promising sites
  • Forecasting store visits and sales at different locations
  • Understanding competitor and cannibalization risks at potential new sites
  • Identifying prime locations for added store infrastructure such as drive-thrus or electric chargers
  • Optimizing store performance and operations based on how demand is shifting over time
  • Supporting stakeholder communications with clear data on customer demand
How do you collect traffic data?

StreetLight uses data collected from connected vehicles and the Internet of Things, which is rigorously anonymized, validated, and processed by our Route Science® engine to turn these trillions of data points into the mobility insights businesses need to make smart investments, including traffic counts, commuting patterns, turning movement counts, and more.

StreetLight processes more than 7 billion trips monthly to build detailed transportation metrics based on hundreds of data sources.

How can you access the data?

StreetLight’s data can be accessed multiple ways, making it convenient for realefinance and asset management companies to share insights with stakeholders and integrate data into existing systems. You can access the data via StreetLight’s self-service software platform, with purpose-built data visualizations and analytics customizations. The data can also be exported into commonly used formats like CSV and Shapefiles, or accessed via API to seamlessly integrate into your apps, dashboards, GIS platforms, and more.

How accurate is the data?

StreetLight’s transportation data is rigorously validated against ground-truth data collection methods like roadway sensors to meet industry standards and ensure the most reliable insights for any location. Our metrics strongly correlate with these ground-truth methods and are trusted by industry experts. To learn more about how we process and validate our metrics, plus a list of third-party validations of our data, check out our White Papers page.

What time periods are available?

To get the most relevant and granular insights for your portfolio, you can easily access both historical and the latest month of data to analyze year-over-year or monthly trends. Temporal granularity also allows you to zoom in on any time of day, day of week, or time of year to understand typical conditions and track changes over any time period. A StreetLight rep can help you determine what data periods are currently available to help accomplish your 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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