Detailed Insight Into Travel Activity Patterns
DB4IoT Transportation Data for GHG Reporting from Moonshadow provides detailed insight into the travel activity patterns in cities, metro areas and counties and can be used by consultants and local governments to gain a deeper understanding of when and where transportation is generating the most emissions.
DB4IoT Transportation Data for GHG Reporting delivers maps and spreadsheets that can be included in Community GHG Inventory Reports, Climate Action Plans and Transportation Plans that consultants prepare for cities, counties, MPOs and DOTs or can be used by local governments themselves to support new policies and plans. Moonshadow uses connected-vehicle data from millions of actual completed trips to generate DB4IoT Transportation Data for GHG Reporting.
More Evidence-Based Information
DB4IoT Transportation Data for GHG Reporting delivers more detailed granular information for creating evidence-based transportation plans to reduce emissions from on-road vehicle transportation.
- Data per vehicle weight class
- When and where the highest VMT/VKT occurred
- Origin-Destination travel patterns with VMT/VKT values within, to and from the city
- How travel patterns differ on weekdays versus weekends
- How morning peak, evening peak and off-peak travel is different
- Information on travel speeds
- When and where short passenger vehicle trips occur. ( Short trips have relatively high emission rates per VMT or VKT and often account for over 50% of all trips inside a community)
Connected-Vehicle Data from Trips that Actually Occurred Rather than from a Model
Now that connected-vehicle data is available at scale it can be used to make more detailed estimates of vehicle miles traveled (VMT), vehicle kilometers traveled (VKT) and per extension GHG emissions from transportation. The results are derived from connected-vehicle data and trips that actually occurred rather than from a model. The trip data is analyzed using Moonshadow’s powerful DB4IoT database engine. VMT or VKT based on connected-vehicle data can be used to calibrate estimates derived from travel demand models. The data can also be used in conjunction with GHG emissions estimates based on gasoline sales and measuring air quality with sensors. Each method and each approach augments the others in painting a more comprehensive and accurate picture of GHG emissions and each provides different complimentary information on the effectiveness of various climate action plans and GHG reduction plans.
Global Protocol for Community-Scale GHG Emissions Inventories (GPC)
Worldwide there are several protocols and tools available to estimate GHG emissions from on-road transportation. In 2014, the World Resources Institute (WRI), ICLEI – Local Governments for Sustainability and the C40 Cities Climate Leadership Group launched the Global Protocol for Community-Scale GHG Emissions Inventories (GPC) to help cities estimate and report citywide GHG emissions in a robust and consistent way. The US Environmental Protection Agency (EPA) developed a tool called MOVES to estimate state and local inventories of on-road GHG emissions and energy consumption.
No matter what tool is used, input of local Vehicle Miles Traveled (VMT) or Vehicle Kilometers Traveled (VKT) is essential to an accurate GHG emissions estimate. For communities within the USA, DB4IoT Transportation Data for GHG Reporting includes national CO2 equivalencies emissions values from the EPA greenhouse gas equivalencies calculator.
DB4IoT Transportation Data for GHG Reporting provides a set of maps and spreadsheets with detailed VMT or VKT metrics. This information can be readily used for emissions calculations for on-road vehicles; within a city, to a city and from a city. These three numbers provide a thumbnail sketch of how traffic is contributing to the GHG emissions but they do not provide more detailed information about when and where the emissions from traffic are the worst.
Available for Cities in the US, Canada, the EU and UK
DB4IoT Transportation Data for GHG Reporting is available for cities in the US, Canada, EU and UK, and can be purchased as a single-year or multiple-year report. In a multiple-year report detailed local trends become visible. The data will show which traffic patterns between different zones are increasing or decreasing GHG emissions using the same methodology.
The DB4IoT with INRIX Trips cloud-based, interactive trips analytics platform (sold separately) is also available to consultants and local governments to conduct their own additional in-depth analysis such as corridor and road-segment analysis. DB4IoT Route Analyst, an online platform for public transit agencies (sold separately) is also available.
The Data from DB4IoT Transportation Data for GHG Reporting comes as images in jpeg format and CSV Spreadsheets. See our attached pricelist for a detailed content and purchase amounts.