About Replica

Replica provides data about the built environment and how people interact with it. Our mission is to organize that information to make it accessible, valuable, and actionable.

We know that making decisions about the built environment involves confronting complex challenges that don’t have simple solutions. Too often, you’re expected to rely on data that’s out of date, incomplete, or both. Afterward, you don’t have the information you need to monitor the impacts of those decisions.

Replica exists to change that. We transform vast, disparate datasets into a holistic, up-to-date picture of what’s happening across mobility, land use, people, and economic activity. Our customers get unprecedented insights into a world that’s constantly changing.

A guide to our datasets and available metrics

Mobility Data

Seasonal, Disaggregate Trip Tables (output of "Places" data)

Description	Complete trip tables, representing a typical weekday and weekend day in the modeled season; includes resident, worker, visitor, and commercial travel, all modes (including bike and pedestrian trips), trip characteristics, trip-taker characteristics (including telework behavior), and routing information (like roadways and transit routes used for each trip). Trip data released each season match the population tables released from the same season, enabling cross-tabular analysis and specific cohort analysis.
Release cadence	Seasonal (e.g., Spring 2023)
Where to access this dataset in Replica	Places Studies Direct database access via BigQuery Custom tooling (noted where applicable in the section directly below)
Derivative metrics from this dataset	All metrics represent a typical day (Thursday or Saturday) in a given season Origin/Destination Flows (link to how-to) O/D pairs O/Ds by trip modes (i.e., commercial vehicle trips) O/Ds by trip purpose O/Ds by demographic characteristics Mode-specific analyses (see how we define each mode here) Mode split of trip patterns (link to how-to) Trip patterns of trips made by one or some specific modes Private auto/auto passenger (link to how-to) Public transit (link to how-to) Biking (link to how-to) Note: We do not currently separate out e-bike trips & do not model scooter trips Walking (link to how-to) Transportation Network Companies (TNCs) (link to how-to) Commercial vehicles/otherwise known as "freight" or "trucks" (link to how-to) Vehicle Fuel Type (electric vehicles/EV analyses) EV trip and demographic characteristics (link to how-to) Trip purpose-specific analyses (see how we define trip purposes here) Trip purpose split (link to how-to) Trip patterns of trips made by one or some specific travel purposes (link to how-to) Home Work Eat Shop Recreation School Errands/Maintenance Commercial Lodging Region departure Pass-through traffic Pass-through travel (see the related how-to here) VMT data (link to how-to) Residential VMT Network VMT Roadway VMT Corridor/roadway ("network link") patterns (link to how-to) Average daily volumes Overall daily volumes Daily volumes by mode (private auto, commercial vehicle (freight), biking and walking, TNC, and more. Daily volumes by trip distance Corridor patterns/select link analyses (volumes, demographic characteristics of trip-takers traveling through corridor, mobility characteristics of trips traveling through corridor) Transit patterns (link to how-to) Transit share Transit ridership totals Transit ridership patterns (totals, demographic characteristics of riders, mobility characteristics of transit trips, submode breakdown, transit agency info, boarding information, and alighting information) Custom tooling for transit data: Transit Agency-Level Report Transit Stop-Level Data Trip start time and trip end time analyses Trip distance and duration analyses Example analyses include: Identifying active transportation trip potential Identifying long-distance private auto trips
Introductory documentation for this dataset	Seasonal (Places) Data Overview Getting Started with Places Studies
Technical documentation for this dataset	Data Schema Methodology (Summary) Methodology (Extended) Data Validations

Weekly Mobility Data (output of "Trends" data)

Description	Nationwide hourly origin-destination data for a typical weekday and weekend day with hourly breakdowns and mode breakdowns (including auto, transit, walking, and biking). Nationwide residential VMT for a typical weekday and weekend day.
Release cadence	Weekly
Where to access this dataset in Replica	Trends Dashboards Data Downloads
Derivative metrics from this dataset	Trips by origins Total trips Mode split of trips Trip start times Trips by destinations Total trips Mode split of trips Trip start times Trips starting and ending in a given geo Total trips Mode split of trips Trip start times O/D pairs by trip origin Total trips Mode split of trips Trip start times O/D pairs by trip destination Total trips Mode split of trips Trip start times Residential VMT Relevant how-to: Getting Started with Weekly Trends Data
Introductory documentation for this dataset	Weekly (Trends) Data Overview Getting Started with Weekly Trends Data
Technical documentation for this dataset	Weekly O-D Data Overview, Schema, and Methodology Weekly VMT Data Overview, Schema, and Methodology

Traffic Data

Annual Average Daily Traffic (AADT)

Description	The AADT table contains information about almost all major roads. For Functional Road Class (FRC) 1 and 2 roads, Replica also provides single-truck volume and combination truck volume [1].
Release cadence	Annual
Where to access this dataset in Replica	AADT Explorer Application Data Downloads
Derivative metrics from this dataset	AADT per network link AADT for commercial vehicles per network link (also known as freight AADT or truck AADT) AADT of single-unit trucks per network link for FRC 1 and 2 roads AADT of combination trucks per network link for FRC 1 and 2 roads Relevant how-to: How to Access AADT Data in Replica
Technical documentation for this dataset	Overview, Data Schema, Quality Metrics, and Methodology

Annual Hourly Auto Volume Profiles

Description	This dataset contains information about the average auto volume per network link, provided in hourly buckets for a typical week. For Functional Road Classification (FRC) 1 and 2 roads, we also provide hourly volumes for single-unit and combination trucks. This data is available for 2021 and 2022, and is updated annually. Data is available for download in CSV, Shapefile, and Geojson format.
Release cadence	Annual
Where to access this dataset in Replica	Data Downloads
Derivative metrics from this dataset	Annual hourly volumes for all vehicle trips for an average weekday or average weekend day Annual hourly volumes for single-unit trucks for an average weekday or average weekend day Annual hourly volumes for combination-unit trucks for an average weekday or average weekend day Relevant how-to: How to Annual Hourly Auto Volume Profiles in Replica
Technical documentation for this dataset	Overview, Data Schema, Quality Metrics, and Methodology

Speeds Data

Description	Replica provides two speed-related datasets on an annual cadence: free-flow speed per network link, and a quarter-hourly speed profile per network link. The free-flow speed table contains information about annual average free-flow speeds per network link. Free-flow speed is defined as the 66th percentile speed during off-peak hours, meaning that 66% of vehicles are traveling at or below this speed on a given road segment during non-busy times. The quarter-hourly speed profile table contains information about the average observed speed per network link, provided in quarter-hourly buckets for a typical week.
Release cadence	Annual
Where to access this dataset in Replica	Network Speeds Viewer Application Data Library (for download)
Derivative metrics from this dataset	Free-flow speed per network link Quarter-hourly speed profiles per network link, by day of the week Relevant how-to: How to Access Annual Speeds Data in Replica
Technical documentation for this dataset	Overview, Data Schema, Quality Metrics, and Methodology

Turning Movement Count (TMC) Data

Description	Replica's TMC table contains information about motor vehicle trip counts at most signalized intersections nationwide for each day of the week, bucketed into 1-hour intervals.
Release cadence	Annual
Where to access this dataset in Replica	TMC Explorer Application Data Library (for download)
Derivative metrics from this dataset	TMCs per network link, broken down into 1-hour intervals Relevant how-to: How to Access TMC Data in Replica
Technical documentation for this dataset	Overview, Data Schema, Quality Metrics, and Methodology

Demographic and Employment Data

Seasonal, Disaggregate Population Tables (output of "Places" data)

Description	Complete population tables, including demographic and socio-economic detail, home and work location, teleworking information, level of education, and industry of employment. Population data released each season match the trip tables released from the same season, enabling cross-tabular analysis and specific cohort analysis.
Release cadence	Seasonal (e.g., Spring 2023)
Where to access this dataset in Replica	Places Studies Direct database access via BigQuery Custom Tooling (noted where applicable in section below)
Derivative metrics from this dataset	Residential analyses Home locations Work locations School locations Age Income levels (poverty data) Race and ethnicity Household composition Employment status Industry of employment Private auto ownership Travel patterns O/D patterns Commute patterns Corridor and transit patterns Residential VMT (link to how-to) Workforce analyses (Custom Tooling: Workforce Profile Report) Work location Home locations Industry of employment Telecommuting/work-from-home patterns (link to how-to) Income levels Travel patterns O/D patterns Commute patterns Corridor and transit patterns Demographics of trip types/trip patterns Examples analyses include: Equity analyses Custom Tooling: Equity Indicators Report Relevant how-to for demographic and employment analyses: How to View and Download Demographic and Employment Data in Replica
Introductory documentation for this dataset	Seasonal (Places) Data Overview Getting Started with Places Studies
Technical documentation for this dataset	Data Schema Methodology (Summary) Methodology (Extended) Data Validations

Economic Activity Data

Weekly Consumer Spend Data (output of "Trends" data)

Description	Nationwide weekly total consumer spend at the census tract level, by both merchant location and purchaser home location, across a number of categories including retail, grocery, and restaurant and bar; includes a breakdown of on- and off-line (e-commerce) spend.
Release cadence	Weekly
Where to access this dataset in Replica	Trends Dashboards Data Downloads
Derivative metrics from this dataset	Weekly spend by home location Breakdown of online (e-commerce) and in-person spend Weekly spend by merchant location
Introductory documentation for this dataset	Weekly (Trends) Data Overview Getting Started with Weekly Trends Data
Technical documentation for this dataset	Weekly Spend by Home Location Data Schema Weekly Spend by Merchant Location Data Schema Methodology

Weekly Consumer Spend Origin Destination Flows (output of "Trends" data)

Description	Nationwide flows at the county level, quantifying where purchasers who live in a given county spend, and the home location of those who purchase in a given county
Release cadence	Weekly
Where to access this dataset in Replica	Data Downloads Reference Downloads
Derivative metrics from this dataset	Spend County-to-County Flows by Merchant Location (link to how-to) Spend County-to-County Flows by Resident Location
Introductory documentation for this dataset	Weekly (Trends) Data Overview Getting Started with Weekly Trends Data
Technical documentation for this dataset	Data Schema Methodology

Built Environment Data

Land Use Data

Description	Nationwide land use, including information about use type, built square footage, zoning, and residential units
Release cadence	Seasonal
Where to access this dataset in Replica	Trends Dashboards Places Studies Data Downloads
Derivative metrics from this dataset	Land Use by Land Area Land Use by Building Area Dwelling Units Relevant how-to: How to View and Download Land Use Data in Replica
Introductory documentation for this dataset	Land Use Overview
Technical documentation for this dataset	Data Schema

Reference Data

Census Geographies

Description	The Census Geographies download contains the geographic layers used in our seasonal Places and weekly Trends datasets. The download also includes a crosswalk table with relationship mapping provided by the US Census Bureau that defines which census blocks are aggregated to create the other census geographies. For example, using this file you can determine which blocks were aggregated into which block groups, and in turn which block groups were aggregated into which census tracts, and so on for the other census geographies.
Release cadence	Currently based on 2010 census boundaries
Where to access this dataset in Replica	Data Downloads Direct database access via BigQuery
Introductory documentation for this dataset	Census Geographies Download Overview

Network Links

Description	The network table contains the street and road segment records and the associated attributes used within a seasonal Places dataset. OpenStreetMap (OSM) is the originating source of the streets and roads data. This table matches the route_ids released from the same season, enabling cross-tabular analysis and specific link-level analysis.
Release cadence	Seasonal
Where to access this dataset in Replica	Data Downloads Direct database access via BigQuery Custom Tooling: Seasonal (Places) Network Download Report for City and County Geographies
Technical documentation for this dataset	Overview and data schema

Transit Routes

Description	This download includes information on the transit routes for a given Places season. Each transit route includes a route ID which can be joined to the transit_route_ids available in the seasonal trip table.
Release cadence	Seasonal
Where to access this dataset in Replica	Data Downloads Direct database access via BigQuery
Introductory documentation for this dataset	Overview and data schema

Applications

We're developing a series of applications inspired by use cases or insights that our customers regularly use Replica data for. Applications are intended to these insights and analyses. These are available on the "Applications" page. If your organization does not have access to these applications, you can reach out directly to us through our in-app chat.

Transit Demand & Equity Scores

Description	The demand and equity scores leverage Replica's seasonal Places data create meaningful insight into pressing questions facing transit planners.
Release cadence	Seasonal
Where to access this dataset in Replica	Applications page
Introductory documentation for this dataset	Methodology