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Replica’s comprehensive data shows how mobility, people, and land use interact. These insights give you the power to make cities more equitable, sustainable, and livable.
With Replica’s insights, you can see your city better. Comprehensive data and an easy-to-use web application means your team has direct access to the data you need to improve your transportation system, revitalize downtown, forecast tax revenues, boost emergency preparedness, understand the housing needs of your community, or compete for federal funding. Local governments across the country use Replica to respond to the ever-changing needs of residents, monitor the impacts of interventions, and forecast what’s to come.
Replica data allows planners to perform the everyday operational studies they use to understand, design, and build your city infrastructure. Replica partners have access to
With Replica data you can understand the characteristics of your constituents including where they live, work, shop, and socialize. Key demographic data allows you to understand worker access and transportation needs. Cities have used Replica data to optimize citing of industry to tap into talent pools as well as to understand transportation needs of workers.
As city populations shift and demographics change from Covid, it is important to understand how this will affect economic activity and tax revenues. Replica’s weekly consumer spending data, can help you forecast tax revenues in near-real time and better understand the ties between economic activity and consumer spending at the local level.
Replica data enables you to understand existing conditions and housing characteristics to identify gaps in emergency management coverage.
Replica data also allows you to understand and prepare evacuations routes in the event of emergencies. Using this data you can better prepare to services these routes.
Populations demand active transportation planning more than ever. As modes diversify, and biking/walking becomes more popular, cities need to understand where people are coming from, going, and what their potential for active transportation is. Replica data gives you this information and allows you to dive into individual trip taker characteristics to better plan your active transportation infrastructure.
Replica was built to support the journey toward more equitable transportation. Our data platform not only provides information on activity-based travel, but also provides detailed sociodemographic and socioeconomic data, all in one place. Within a few clicks, Replica data can reveal meaningful insights on the ways historically disadvantaged communities access transportation services to meet basic needs, and how your IIJA projects meet the federal Justice40 initiative guidelines. Data is essential to making more equitable transportation networks; let’s use it to build a better tomorrow.
Learn more about Replica's work with Transportation Equity
Replica was built to support the journey toward more equitable transportation. Our data platform not only provides information on activity-based travel, but also provides detailed sociodemographic and socioeconomic data, all in one place. Within a few clicks, Replica data can reveal meaningful insights on the ways historically disadvantaged communities access transportation services to meet basic needs, and how your IIJA projects meet the federal Justice40 initiative guidelines. Data is essential to making more equitable transportation networks; let’s use it to build a better tomorrow.
Understand key neighborhood characteristics such as:
New York’s Metropolitan Transportation Authority, the country’s largest public transit authority, engaged Replica to support its implementation of congestion pricing in Manhattan. When the pandemic struck, the MTA turned to Replica to better understand, and help forecast, the rapidly changing travel behavior of its riders.
When 24-hour subway service stopped for the first time in over 100 years, MTA used Replica data to design a shutdown schedule that would least affect healthcare workers. Replica data helped MTA better understand — and forecast — the rapidly changing travel behavior of its riders in near-real-time, including differences among various cohorts of riders. This helped the agency offer alternative transit options that would least impact essential healthcare workers.
The city of Des Moines, partnering with HDR, was looking to gain a better understanding of commuter activity in the Des Moines Metro area. The project team partnered with Replica to create a dashboard of all weekday commutes. This leveraged Replica's O-D pairs, multimodal trip characteristics, and workplace information. The output was an interactive illustration of home to work travel for a travel demand management workshop, which helped inform decision makers on existing behavior and enabled future planning.
Planners in El Paso wanted better insights into economic segregation in their area in order to take more comprehensive approaches to delivering equitable outcomes.
When it comes to understanding segregation, it’s common to look at where people live, but housing only tells part of the story. People work, shop, and socialize in ways that are influenced by segregation in the built environment. It’s easy to miss important dynamics in a city if decisions are based primarily on where groups of people reside. Unfortunately, the sparsity of data, plus constraints on time and staffing, means planners are forced to rely on what is consistently available to them: residential data.
Planners in El Paso used several components of population data from Replica’s Places tool to look at how economic segregation shows up in the workforce. They downloaded income data and worker location data, layering them together in their preferred mapping tool.
The result allowed planners to see where economic segregation occurred among residential groups, and also to visually display how low-income jobs are concentrated in a few areas around the city.
Using Replica Trends data, RTA was able to estimate the number of daily commuters into each census tract during different periods throughout the pandemic. Trends provided the number of people in each tract in the daytime hours, allowing RTA to find average daytime population statistics. By subtracting the residential population for each tract, RTA could see how many people had commuted into each tract in a given week. The agency fed this Trends data into its preferred visualization tool to create visuals for a meeting with its board of directors, presenting a clear illustration of the ways commuting habits continued to change over the course of the pandemic.
The Cross Harbor Freight Program in NY/NJ was created with a goal to develop a freight rail corridor including tunnel, mainline, yards, and other rail facilities to divert some freight movements currently using NY/NJ bridges and tunnels across the Hudson River and New York Harbor from truck to rail.
STV, partnering with NYC, took the lead on developing a study to help inform the program and enable this corridor development. The team is investigating the impacts on traffic introduced by the new freight rail yards at Maspeth/Blissville.
Replica data has allowed the program to understand existing traffic patterns in the region to set a baseline.
When the city of Olathe kicked off a planning analysis, they turned to Replica to get the data they needed. The city used Replica data to understand:
Similarly, Olathe used Replica's mobility and demographic information to understand housing characteristics to optimize fire department and emergency services. This was crucial to understand daytime population changes and at-risk populations.
In this webinar we discussed:
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3610 W. 95th Street
Leawood, KS. 66206
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