Analytical engines measure the fiscal, environmental, transportation, public health, and community impacts of future plans and policy.
SPM analytical engines produce a range of critical metrics that allow for meaningful comparisons across different land use and transportation scenarios. Once changes are made to the base canvas via painting or translation of existing plan, scenario core processes combine the changes or growth input with the existing conditions to create future scenarios and estimate developable land and demographic characteristics. These scenarios then run through other model engines briefly described below to measure their performance for mobility, air quality, public health, fiscal impacts, resource consumptions, and others.
SPM’s web based scenario painter that includes a suite of selection adn viewing tools allows the user to edit or build upon a translated plan or scenario, or create new scenarios from scratch by applying Place Types to the landscape. In addition to various spatial data layers available via SPM’s graphical user interface, ranging from parcel level land use, to statewide resource areas and farmland, the web based scenario painter can also display regularly updated data available on the web today (e.g., Google Maps, Open Street Map).
Fiscal Impact Engine estimates the impacts of variations in residential development unit types and patterns on capital infrastructure costs, operations and maintenance (O&M) costs, and revenues.
Building Energy Engine calculates residential and commercial building energy use, and their related costs and greenhouse gas (GHG) emissions, for both new and existing buildings.
Water Engine calculates indoor and outdoor residential and commercial water use, and their related costs and greenhouse gas (GHG) emissions, for both new and existing buildings.
SPM incorporates a comprehensive “sketch” travel model that produces vehicle miles traveled (VMT), mode choice, and congestion estimates for land use and transportation scenarios, as well as transportation-related costs, greenhouse gas (GHG) emissions, and pollutant emissions.
SPM measures the impact of land use patterns and urban form on a range of health-related indicators. Public health metrics include physical activity-related weight and disease incidences, pedestrian safety measures, and respiratory impacts.