CalEnviroScreen is a mapping tool that helps identify California communities that are most affected by many sources of pollution, and where people are often especially vulnerable to pollution’s effects. CalEnviroScreen uses environmental, health, and socioeconomic information to produce scores for every census tract in the state. The scores are mapped so that different communities can be compared. An area with a high score is one that experiences a much higher pollution burden than areas with low scores. CalEnviroScreen ranks communities based on data that are available from state and federal government sources.

CalEnviroScreen 4.0 was released in October 2021 as part of continued efforts by the CalEPA’s Office of Environmental Health Hazard Assessment to map cumulative impacts of environmental health conditions across California. For more information on CalEnviroScreen, please visit our website or see our report.

The CalEnviroScreen 4.0 Data Dashboard is an interactive online tool used for filtering and visualizing the latest CalEnviroScreen data. This tool enables users to select areas of interest based on various geographies, CalEnviroScreen scores, percentile ranges or thresholds for any combination of the 21 CalEnviroScreen indicators. It can also select areas by ethnic or racial makeup. Users can view data summaries and maps that update automatically as different filters are selected and applied. All the results are downloadable as a spreadsheet.

CalEnviroScreen 4.0 was released in October 2021 as part of continued efforts by the CalEPA’s Office of Environmental Health Hazard Assessment to map cumulative impacts of environmental health conditions across California. For more information on CalEnviroScreen, please visit our website or see our report.

The CalEnviroScreen 4.0 Data Dashboard is an interactive online tool used for filtering and visualizing the latest CalEnviroScreen data. This tool enables users to select areas of interest based on various geographies, CalEnviroScreen scores, percentile ranges or thresholds for any combination of the 21 CalEnviroScreen indicators. It can also select areas by ethnic or racial makeup. Users can view data summaries and maps that update automatically as different filters are selected and applied. All the results are downloadable as a spreadsheet.

The Office of Environmental Health Hazard Assessment (OEHHA) announces the availability of a new version of the California Communities Environmental Health Screening Tool: CalEnviroScreen 4.0. CalEnviroScreen is a screening methodology that can be used to help identify California communities that are disproportionately burdened by multiple sources of pollution. The CalEnviroScreen 4.0 results are available as a mapping tool. Maps of the CalEnviroScreen 4.0 Indicators are also available.

For more information about this web mapping application, please see the CalEnviroScreen website: https://oehha.ca.gov/calenviroscreen/report/calenviroscreen-40or the CalEnviroScreen Hub page: https://calenviroscreen-oehha.hub.arcgis.com/

The table CalEnviroScreen 4.0 is part of the dataset CalEnviroScreen, available at https://redivis.com/datasets/tc87-c9tqz338p. It contains 8035 rows across 58 variables.

CalEnviroScreen is a screening methodology that can be used to help identify California communities that are disproportionately burdened by multiple sources of pollution.

The table CalEnviroScreen 4.0: Demographic Profile is part of the dataset CalEnviroScreen, available at https://redivis.com/datasets/tc87-c9tqz338p. It contains 8036 rows across 15 variables.

Mapa de Resultados de CalEnviroScreen 4.0. CalEnviroScreen es una herramienta de mapeo que ayuda a identificar las comunidades en California desproporcionadamente afectadas por múltiples fuentes de contaminación.

CalEnviroScreen scores represent a combined measure of pollution and the potential vulnerability of a population to the effects of pollution. Like the previous versions, CalEnviroScreen 4.0 does not include indicators of race/ethnicity or age. However, the distribution of the CalEnviroScreen 4.0 cumulative impact scores by race or ethnicity is important. This information can be used to better understand issues related to environmental justice and racial equity in California. CalEPAs racial equity team has released a StoryMap using CalEnviroScreen 3.0 data that examines the connection between racist land use practices of the 1930s and the persistence of environmental injustice. The CalEPA StoryMap, along with this analysis, are examples of information that can be used to better understand issues related to environmental justice and racial equity in California.

Spatial extent: CaliforniaSpatial Unit: Census TractCreated: Oct 20, 2021Updated: Oct 20, 2021Source: California Office of Environmental Health Hazard AssessmentContact Email: CalEnviroScreen@oehha.ca.gov Source Link: https://oehha.ca.gov/calenviroscreen/report/calenviroscreen-40Microsoft Excel spreadsheet and PDF with a Data Dictionary: There are two files in this zipped folder. 1) a spreadsheet showing raw data and calculated percentiles for individual indicators and combined CalEnviroScreen scores for individual census tracts with additional demographic information. 2) a pdf document including the data dictionary and information on zeros and missing values: CalEnviroScreen 4.0 Excel and Data Dictionary PDF

Locations of disadvantaged and/or low-income communities designated by both California and Justice40.Definitions:California-designated Disadvantaged Communities – The California Environmental Protection Agency (CalEPA) identifies four types of geographic areas as disadvantaged: (1) census tracts receiving the highest 25 percent of overall scores in CalEnviroScreen 4.0; (2) census tracts lacking overall scores in CalEnviroScreen 4.0 due to data gaps, but receiving the highest 5 percent of CalEnviroScreen 4.0 cumulative pollution burden scores; (3) census tracts identified in the 2017 DAC designation as disadvantaged, regardless of their scores in CalEnviroScreen 4.0; (4) and areas under the control of federally recognized Tribes. California-designated Low-income Communities – Census tracts with median household incomes at or below 80 percent of the statewide median income or with median household incomes at or below the threshold designated as low income by the California Department of Housing and Community Development’s list of state income limits adopted under Health and Safety Code Section 50093. Justice40-designated disadvantaged communities - Consistent with the Justice40 Interim Guidance, U.S. Department of Transportation (DOT) and U.S. Department of Energy (DOE) developed a joint interim definition of disadvantaged communities for the National Electric Vehicle Infrastructure (NEVI) Formula Program. The joint interim definition uses publicly available data sets that capture vulnerable populations, health, transportation access and burden, energy burden, fossil dependence, resilience, and environmental and climate hazards.

This layer shows census tracts that meet the following definitions: Census tracts with median household incomes at or below 80 percent of the statewide median income or with median household incomes at or below the threshold designated as low income by the Department of Housing and Community Development’s list of state income limits adopted under Healthy and Safety Code section 50093 and/or Census tracts receiving the highest 25 percent of overall scores in CalEnviroScreen 4.0 or Census tracts lacking overall scores in CalEnviroScreen 4.0 due to data gaps, but receiving the highest 5 percent of CalEnviroScreen 4.0 cumulative population burden scores or Census tracts identified in the 2017 DAC designation as disadvantaged, regardless of their scores in CalEnviroScreen 4.0 or Lands under the control of federally recognized Tribes.Data downloaded in May 2022 from https://webmaps.arb.ca.gov/PriorityPopulations/.

This layer represents the geographic areas 4 below. Category 1-3, census tracts, are in the other layer.In this designation, CalEPA formally designated four categories of geographic areas as disadvantaged:Census tracts receiving the highest 25 percent of overall scores in CalEnviroScreen 4.0 (1,984 tracts).Census tracts lacking overall scores in CalEnviroScreen 4.0 due to data gaps, but receiving the highest 5 percent of CalEnviroScreen 4.0 cumulative pollution burden scores (19 tracts).Census tracts identified in the 2017 DAC designation as disadvantaged, regardless of their scores in CalEnviroScreen 4.0 (305 tracts).Lands under the control of federally recognized Tribes. For purposes of this designation, a Tribe may establish that a particular area of land is under its control even if not represented as such on CalEPA’s DAC map and therefore should be considered a DAC by requesting a consultation with the CalEPA Deputy Secretary for Environmental Justice, Tribal Affairs and Border Relations at TribalAffairs@calepa.ca.gov. This file contains legal AIANNH entities for which the Census Bureau publishes data. The legal entities consist of federally recognized American Indian Reservations (AIRs) and Off-Reservation Trust Lands (ORTL). Downloaded in 2022 from the US Census website here: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-geodatabase-file.html

This layer represents the geographic areas 1-4 below.In this designation, CalEPA formally designated four categories of geographic areas as disadvantaged:1. Census tracts receiving the highest 25 percent of overall scores in CalEnviroScreen 4.02. Census tracts lacking overall scores in CalEnviroScreen 4.0 due to data gaps, but receiving the highest 5 percent of CalEnviroScreen 4.0 cumulative pollution burden scores.3. Census tracts identified in the 2017 DAC designation as disadvantaged, regardless of their scores in CalEnviroScreen 4.04. Lands under the control of federally recognized Tribes. For purposes of this designation, a Tribe may establish that a particular area of land is under its control even if not represented as such on CalEPA's DAC map and therefore should be considered a DAC by requesting a consultation with the CalEPA Deputy Secretary for Environmental Justice, Tribal Affairs and Border Relations at TribalAffairs@calepa.ca.gov

This project investigates air pollution in California communities disproportionately affected by their proximity to transportation corridors, industrial facilities, and logistics centers, focusing on truck-related activities, including idling, parking search, and parking demand, using comprehensive datasets and robust models employing techniques such as Random Forest, Convolutional Neural Network, Bayesian Ridge Regression, and Spatial Error Model. Key findings reveal factors affecting idling times, parking search times, and parking demand, with heavy-duty trucks having the highest idle times and parking search challenges concentrated around transportation arteries and freight yards. The Spatial Error Model highlights relationships between truck activities, socio-economic variables, and air pollution in AB 617 communities. Based on these findings, preliminary policy recommendations include targeted anti-idling campaigns, improved truck parking facilities, cleaner fuels and technologies, enhanced routing efficiency, stricter emission standards, and strengthened land-use planning. Methods The data submitted in this dataset originates from various sources, with each source providing unique insights into the study of truck idling and parking in AB 617 Disadvantaged Communities. The dataset submitted here is the result of careful processing and manipulation of the original datasets to create a comprehensive view of truck idling and parking behaviors. 1. Geotab Ignition Platform Data Though not directly included in this submission due to licensing restrictions, data from the Geotab Ignition platform was instrumental in the creation of this dataset. It includes raw idling data, raw data for searching for parking, and raw truck parking location data. We used these datasets to extract key metrics related to truck idling and parking behaviors. The Geotab data was processed and aggregated to obtain daily idling times and parking search times. This was done by using the geohash provided to group data by location and then computing the daily metrics. Please note that due to licensing restrictions, the raw Geotab data is not included in this submission. For those interested in using the Geotab data, please refer to the Geotab website to access the data directly. 2. CalEnviroScreen 4.0, Census data, and OpenStreetMap (OSM) These datasets provided contextual information, such as demographics and infrastructure, which were used to enrich the idling and parking data derived from the Geotab datasets. For example, demographic data from the Census and CalEnviroScreen 4.0 was used to identify disadvantaged communities, while data from OpenStreetMap was used to map idling and parking behavior to specific locations. 3. Kern County Traffic Count Data System (TCDS) Data The TCDS data was used to provide a count of truck traffic at various locations. This data was integrated with the processed Geotab data to provide a more complete picture of truck activity in the study areas. 4. Final Dataset (The Dataset Used for Modeling) The final dataset was created by merging the processed Geotab data with the relevant data from the other sources. This process involved spatially joining the Geotab and TCDS data based on location and then appending the relevant demographic and infrastructure data from CalEnviroScreen 4.0, Census, and OSM. The result is a comprehensive dataset that provides a detailed view of truck idling and parking behavior in AB 617 Disadvantaged Communities.

Vehicle electrification is expected to reduce, in aggregate, emissions of greenhouse gases and criteria air pollutants. However, increased electricity generation to support new electric vehicles introduces possible redistribution of point-source emissions from mobile vehicles to electric generating units such that emissions may decrease in some locations and increase in others, with implications for equity. The potential for vehicle electrification to thereby shift the spatial distribution of air-pollution burdens has been previously noted, but analyses have yet to evaluate specific implemented climate policies. Here, we develop a novel model to analyze the implications of California’s Clean Vehicle Rebate Project (CVRP) for emissions of greenhouse gases and criteria air pollutants, both in aggregate and in their distribution. Analyzing rebates for 2010–2021, we find that the CVRP reduced aggregate statewide emissions of CO2, NOX, and SO2 and increased aggregate statewide emissions of primary PM2.5. However, changes in air pollution are not distributed equally: our results indicate that, as a result of the CVRP, net primary PM2.5, NOX, and SO2 emissions reductions disproportionately occur in Least Disadvantaged Communities, as compared to Disadvantaged Communities, with community disadvantage defined according to CalEnviroScreen 4.0 per California legislation. If the current spatial distribution of electric vehicle rebates remains unchanged, we project that these inequities will continue through the state’s legislative goal of 1.5 million zero-emission vehicles on California roadways by 2025, even with increased cleanliness of the electricity sources for new vehicles. Increased uptake of electric vehicles in communities facing the highest air pollution exposure, along with accelerated clean-energy generation, could ameliorate associated environmental inequities. Methods This data was processed through RStudio (version 2021.09.0+351).

This Disadvantaged Communities (DAC) file contains the Census tracts that met criteria as 2022 Disadvantaged Communities (SB535) with Tribal Areas that fall outside of the designated Census tracts.This DAC file represents four (4)geographic areas. In this designation, CalEPA formally designated four categories of geographic areas as disadvantaged:1. Census tracts receiving the highest 25 percent of overall scores in CalEnviroScreen 4.0.2. Census tracts lacking overall scores in CalEnviroScreen 4.0 due to data gaps, but receiving the highest 5 percent of CalEnviroScreen 4.0 cumulative pollution burden scores.3. Census tracts identified in the 2017 DAC designation as disadvantaged, regardless of their scores in CalEnviroScreen 4.0.4. Lands under the control of federally recognized Tribes. For purposes of this designation, a Tribe may establish that a particular area of land is under its control even if not represented as such on CalEPA’s DAC map and therefore should be considered a DAC by requesting a consultation with the CalEPA Deputy Secretary for Environmental Justice, Tribal Affairs and Border Relations at TribalAffairs@calepa.ca.gov.SCAG combined both those Census tracts described in 1-3 categories and tribal areas defined by the United States Census Bureau in the 4th category to present a single layer with all of the designated disadvantaged communities.Note: Tribal Areas do not have CalEnviroScreen 4.0 analysis.