With more than 10,000 projects every month, StreetLight’s analytics have informed transportation analyses in all lower 48 States, Canada and Mexico. Below are some of the entities using StreetLight, followed by numerous case studies we invite you to peruse.
Using Big Data to Address Data Gaps and Validate Travel Demand Models
Learn how the City of Edmonton, Canada, used StreetLight InSight® to fill in their traffic volume data gap, validate their regional travel demand model and analyze insights to understand the changing mobility landscape.
Congestion Management Analytics Help Improve Traffic Flow and Road Safety
See how transportation planners in the Shreveport, Louisiana region partnered with StreetLight, saving time and resources to plan congestion management strategies, increase safety, and improve mobility in the region.
Optimizing Bus Schedules to Best Serve Changing Commuting Patterns
Learn how SamTrans used StreetLight InSight® to measure commute demand in the Bay Area to adjust bus times, leading to increased ridership.
The Impact of STAR Bond Attractions on Kansas Tourism
Learn how the Kansas Legislative Division of Post Audit used StreetLight InSight® to measure before-and-after tourism visitation data at 16 state attraction sites, leading to surprising findings about the program’s success.
Sharing Regional Transportation Emissions Data
Learn how Streetlight helped the Twin Cities Metropolitan Council measure individual communities’ emissions from passenger and commercial vehicles.
Tulsa MPO Fills Traffic Count Gaps
When jurisdictions in an Oklahoma MPO’s regions stopped collecting counts, StreetLight provided complete and reliable AADT metrics for the entire area.
Opportunities for Equitable Mode Shift
Trading in traditional travel demand models for StreetLight’s bicycle and pedestrian data, Jacobs projected mode shift for a bike-ped bridge in Portland.
Shift Freight Modes for Truck Traffic Control
Stantec developed a truck traffic control plan along the Brooklyn-Queens Expressway to shift modes to marine vessels, reduce freight demand on the BQE, and enable other uses for the corridor
Dwell Time Analysis for National Parks
The amount of visitors in national parks has grown steadily over recent decades, leading to overcrowding. StreetLight’s dwell-time analysis helped the National Park Service better understand visitor-use management.
Gauging Potential Demand for Intercity Passenger Rail Transport
When a rail operator needed travel patterns between five major metropolitan areas in the Northeast to identify travel demand, StreetLight’s customized solution linked consecutive trip stops into a longer tour, using adjustable temporal thresholds.
Quantifying Long Haul Trucks on Florida Highways
StreetLight identified what percentage of truck traffic was short-haul (entering or exiting at a ramp) vs long-haul (passing straight through the corridor).
Revamping a Legacy Transit Plan in Ontario
Over 20 years of budget constraints left Windsor, Ontario with a legacy transit system in need of overhaul. Big Data helped planners establish project scope, prioritize, and determine budget needs.
Golden Gate Park Visitor Patterns
Golden Gate Park needed to count visitors through unsanctioned entrances. With StreetLight’s help, they got counts, trip origins, demographics, and more.
Pinpointing Visitor Volume at California Park System
To balance public access and its environmental impact, the Nature Reserve of Orange County turned to StreetLight for detailed park visitor data.
Multimodal Planning in the City of Toronto
Analytics informed planning studies for “Gateway Mobility Hubs” that will provide convenient, affordable, multimodal modes and improve connections to transit options in Toronto’s outskirts.
Delivering Boston’s Ride-Hailing Metrics
Learn how StreetLight’s analysis confirmed that ride-hailing vehicles contribute substantially to congestion, Download now to learn more about identifying ride-hailing and delivery travel.
Choosing Locations for Uber Air
Download our case study to learn what metrics Uber Air used to optimize site locations, how many trips per day Uber Air predicts for demand, and how many terminals it needs to meet that demand
Football Hall of Fame Projects Tourism Explosion
The Pro Football Hall of Fame projected that annual visitors would jump from 300,000 to three million. To plan transportation for this tourism boost, planners turned to Big Data StreetLight for facts about where visitors came from, traffic hot spots, and parking options.
Virginia Bike Tourism: Measuring Economic Impact
Planners knew that tourists visited the Virginia Capital Trail, but they didn’t have metrics for measuring bicycle tourism’s economic impact. They turned to Big Data for detailed information about bike and pedestrian trips.
Detailed Truck Data for Virginia’s Port
To support transportation project prioritization, ongoing studies, and federal funding applications, Port of Virginia planners needed to know which routes were commonly used by port trucking. Learn how Big Data helped solve this transportation problem.
Transportation Demand Management in Virginia
Planners analyzed hundreds of congested road segments to diagnose areas where certain techniques may have the biggest impact and to guide planning.
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