• Products
  • Log in
  • Open Data Portal
  • Use Cases
  • About
  • Jobs

Who we are

The name Crosswalk is inspired by everyday citizens and leaders who move cities forward — the ones who promote understanding of the issues and drive change.

We see you, and we’re here to support your action. Our mission is to make every city-level decision a climate decision.
As former elected officials and data scientists, we’ve seen firsthand how well-informed choices that are grounded in the data can shape communities and affect the environment. We started Crosswalk Labs because we envision communities as the primary drivers of emissions reductions and the center of action.

Our Approach

We track greenhouse gas emissions over time with unprecedented resolution — scouring hundreds of data sources, running constrained optimization protocols on billions of data points and bench marking the results against atmospheric measurements.
We save cities time by providing a detailed, peer-reviewed approach to emissions data validated by atmospheric science — so you know it’s accurate. No more spreadsheets. No more manual processes. Just verifiable metrics you can rely on.

Our Team
Jason Burnett

(Former) Mayor, Carmel-by-the-Sea / (former) Managing Partner, Clean Fund / (former) Associate Deputy Administrator, US EPA / Trustee, David and Lucile Packard Foundation

Jason Burnett

Co-founder + CEO

Dr. Phil DeCola

Adjunct Professor, University of Maryland Atmospheric and Oceanic Sciences Department / (former) Climate Change advisor, White House OSTP / (former) Program Scientist, NASA

Dr. Phil DeCola

Co-founder + Science Strategist

Stephen Barrows

(Former) Prometheus Fuels General Counsel and Head of Policy / (former) Stripe, Plaid Regulatory and Product Counsel / (former) U.S. Department of the Treasury Senior Advisor to the General Counsel

Stephen Barrows

General Counsel + COO

Dr. Victoria Hunt

Data Scientist / Councilmember, Issaquah WA / PhD in Ecology, University of Illinois Chicago / (former) Affiliate Faculty in the Dept. of Urban Design and Planning, University of Washington / 10+ years in analytics and data visualization

Dr. Victoria Hunt

Chief Data Officer

Dr. Geoff Roest

Postdoctoral Researcher, Northern Arizona University / PhD in Atmospheric Sciences, Texas A&M University / (former) National Academies' Gulf Research Program Science Policy Fellow

Dr. Geoff Roest

Technical Lead

Jason Zou

Software Generalist / (former) Simulation Software Engineer, Cruise / B.A. in Computer Science, UC Berkeley

Jason Zou

Software Engineer

Erik Badger

(Former) Senior Software Engineer at Tickr / Open source contributor / North Lakes Academy / Forest Lake MN

Erik Badger

Software Engineer

Dr. Anastasia Montgomery

Atmospheric Data Scientist / PhD in Earth and Planetary Sciences, Northwestern University / (former) NSF IDEAS Fellow

Dr. Anastasia Montgomery

GHG Research Scientist

Daniel Sheehan

Geospatial Solutions Architect / MA in Geography, University at Buffalo; Certificate of Professional Achievement in Data Sciences at Columbia University / (former) 10+ years geospatial solutions at Amazon Web Services, Jupiter Intelligence, UBS Investment Bank - Evidence Lab, Columbia University

Daniel Sheehan

Director of Data Solutions

Melissa Winkler

(Former) Chief Commercial Officer, Kestrel / (former) 15+ years investment banking and asset management at KeyBanc, Wells Fargo, and US Bank.

Melissa Winkler

Head of Commercials

Our Partners
Logo of Builders InitiativeLogo of Grantham FoundationLogo of Sant FoundationLogo of Sant FoundationLogo of The City of Flagstaff Economic Development OfficesLogo of Flagstaff Sustainability OfficeLogo of ESRI
More on our peer-reviewed data, methodology and process
Methodology on national CO₂ emissions
Verification using atmospheric CO₂ measurements
Comparison to corresponding self-reported Scope 1 CO₂ emissions in 48 US cities
Methodology behind building-level CO₂ emissions
Building-level emissions - Indianapolis
Building-level emissions - Salt Lake City

Summary of our Data Sources

Vehicles / Onroad

The vehicles sector represents all direct CO₂ emissions generated by on-road transportation, including cars and trucks, within the boundary of interest. Emissions from vehicles represent where physical emissions from cars and trucks occur along roadways. Therefore, emissions from vehicles that are passing through a city on a highway will contribute to emissions for that city, even if those vehicles do not start or stop in that city. Crosswalk’s on-road emissions use GPS-based traffic data for the continental United States and average annual daily traffic data from the Federal Highway Administration (FHWA) for Alaska and Hawaii. Additionally, Crosswalk uses state-specific information from the FHWA about the vehicle fleet mix on different road classes and fuel economy for different vehicle types to estimate CO₂. Emissions are scaled in time using Energy Information Administration (EIA) fuel consumption data, U.S. Census population data, and OpenStreetMap data.

Power Plants / Electricity Production

Emissions associated with powerplants are represented as emissions occurring at the location of the power plant, regardless of where the power is consumed. The power plant emissions data come from three sources: 1) EPA’s Clean Air Markets Division (CAMD) data generated from hourly measurements of CO₂ emissions from continuous emission monitoring systems (CEMS) stack monitoring, 2) EIA data on power plant fuel consumption reported at the monthly scale, and 3) U.S. Environmental Protection Agency (EPA) National Emissions Inventory (NEI) which captures some small co-generation facilities not included in the other data sources.

Residential Buildings

The residential buildings sector includes emissions from residences such as houses, apartments, and condominiums. The residential buildings sector represents direct emissions from residences, using data from the U.S. Environmental Protection Agency (EPA) National Emissions Inventory (NEI). Emissions are scaled in time using fuel data from the U.S. Energy Information Administration (EIA), and distributed to census block groups using building stock data from the National Structure Inventory (NSI). Emissions factors are used from sources including EPA and Intergovernmental Panel on Climate Change (IPCC).

Mobile Equipment / Nonroad

This sector includes emissions from 16 different types of vehicles that do not typically drive on roads. These machines include lawnmowers, golf carts, construction equipment, and farming machinery. Data from the U.S. Environmental Protection Agency (EPA) National Emissions Inventory (NEI) are used to generate emissions estimates for this sector.

Airports

This sector includes emissions from airplanes and helicopters during taxi, takeoff, and landing, attributed to the city or town where the airport is located. Emissions from takeoff and landing include emissions from below 3,000 feet above ground level. This data is sourced from the Federal Aviation Administration Traffic Flow Management System Counts Data (TFMSC) for the largest 2,000 airports. For Airports not in TFMSC, aircraft activity is modeled using the Federal Aviation Administration Form 5010 Data. Emissions factors are used from the Intergovernmental Panel on Climate Change (IPCC). Airport equipment such as baggage carts are included in the mobile equipment category.

Industry

Industrial buildings emit CO₂ from combustion of fossil fuels in industrial processes such as manufacturing, oil and gas operations, refineries, and other heavy industry. Industrial sources are distinguished from commercial sources based on the Source Classification Code (SCC) used to report emissions in the U.S. Environmental Protection Agency (EPA) National Emissions Inventory (NEI). Data used to estimate emissions from industrial buildings includes data for both point sources (large facilities at fixed locations which are required by law to report their emissions to the EPA Greenhouse Gas Reporting Program (GHGRP), and non-point sources. Non-point sources are smaller facilities identified in the National Structure Inventory (NSI), which are not required by law to report their emissions to the NEI. Data come from the NEI and GHGRP, and emissions from non-point sources are scaled in time using State-level fuel consumption data from the U.S. Energy Information Administration (EIA). Emissions factors are used from sources including EPA and Intergovernmental Panel on Climate Change (IPCC).

Commercial Buildings

Commercial buildings emissions are from buildings such as restaurants, office buildings, stores, schools, churches, libraries, hospitals, military installations, and other government buildings. Industrial sources are distinguished from commercial sources based on the Source Classification Code (SCC) used to report emissions in the U.S. Environmental Protection Agency (EPA) National Emissions Inventory (NEI). Data come from the NEI and are scaled in time using fuel data from the U.S. Energy Information Administration (EIA). Non-point buildings emissions are distributed to census block groups using building stock data from the National Structure Inventory (NSI). Emissions factors are used from sources including EPA and Intergovernmental Panel on Climate Change (IPCC).

Railroad

For emissions from rail (passenger and freight trains), data from the U.S. Environmental Protection Agency (EPA) National Emissions Inventory (NEI) are used to generate emissions estimates.

Commercial Marine Vessels

For emissions from Commercial Marine Vessels, data from the U.S. Environmental Protection Agency (EPA) National Emissions Inventory (NEI) are used to generate emissions estimates.

Scope 2 / Emissions from Electricity Use

Scope 2 emissions are accounted for at the location where purchased energy is consumed, rather than at the location where it is generated (e.g., at the location of a power plant). Scope 2 emissions are categorized into source sectors including residential buildings, commercial buildings, and industrial buildings. Buildings are differentiated by their classification in the National Structure Inventory (NSI). Scope 2 emissions (emissions from consumed electricity) are estimated for this sector for balancing authorities across the U.S. using the model published in "Tracking emissions in the US electricity system", by Jacques A. de Chalendar, John Taggart and Sally M. Benson. Proceedings of the National Academy of Sciences Dec 2019, 116 (51) 25497-25502. Emissions are distributed to census block groups using building stock data from the National Structure Inventory (NSI).

Contact Us

To learn more about our products or to schedule a demo, please complete the form and we will be in touch.

contact@crosswalk.io

Contact Us

To learn more about our products or to schedule a demo, please complete the form and we will be in touch.