The Walkability Index dataset characterizes every Census 2019 block group in the U.S. based on its relative walkability. Walkability depends upon characteristics of the built environment that influence the likelihood of walking being used as a mode of travel. The Walkability Index is based on the EPA's previous data product, the Smart Location Database (SLD). Block group data from the SLD was the only input into the Walkability Index, and consisted of four variables from the SLD weighted in a formula to create the new Walkability Index. This dataset shares the SLD's block group boundary definitions from Census 2019. The methodology describing the process of creating the Walkability Index can be found in the documents located at https://edg.epa.gov/EPADataCommons/public/OA/WalkabilityIndex.zip. You can also learn more about the Smart Location Database at https://www.epa.gov/smartgrowth/smart-location-mapping.

There is an EJ Index for each environmental indicator. There are eleven EJ Indexes in EJSCREEN reflecting the 11 environmental indicators. The EJ Index names are: Particulate Matter (PM2.5), Ozone, NATA Diesel PM, NATA Cancer Risk, NATA Respiratory HI, Traffic Proximity and Volume, Lead Paint Indicator, Proximity to Risk Management Plan Sites, Proximity to National Priorities List Sites, Proximity to Treatment Storage and Disposal Facilities, and Proximity to Major Direct Water Dischargers. The EJ index is constructed as follows: EJ Index = (Environmental Indicator) * (Demographic Index for Block Group - Demographic Index for U.S.) * (Block Group Population)

이 데이터셋의 설명이 없습니다

이 데이터셋의 설명이 없습니다

These map layers present the number of National Green Building Standard points awarded for a project site or lot’s relative walkability, and accessibility to jobs via transit or within a 45-minute drive. This map presents information on the following criteria included in the 2020 National Green Building Standard: • Section 405.6(7) - Points for sites located in census block groups with above-average transit access to employment. (See variable D5b in Smart Location Database Technical Documentation and User Guide (2014) for background) • Section 405.6(8) - Points for sites located in census block groups with above-average access to employment within a 45-minute drive (See variable D5a in Smart Location Database Technical Documentation and User Guide (2014) for background on methods) • Section 501.2(4) - Points for lots located in census block groups with above-average neighborhood walkability (See National Walkability Index for background on methods) • Section 11.501.2(3) - Points for lots located in census block groups with above-average neighborhood walkability (See National Walkability Index for background on methods) Using data available through EPA’s Smart Location Database and National Walkability Index, relative walkability and accessibility to jobs via transit or within a 45-minute drive for census block groups were calculated and ranked into quartile groups. The regional comparison was made by considering the score of each individual census block group as a ratio of the average score of the county in which it is located. Those block groups with scores in the highest two quartiles nationally are eligible for NGBS points per the Sections noted above. Details on methodologies and datasets includes in the Smart Location Database and National Walkability Index can be found here: https://www.epa.gov/smartgrowth/smart-location-mapping#SLD

This EnviroAtlas dataset estimates the intersection density of walkable roads within a 750 meter radius of any given 10 meter pixel in each EnviroAtlas community. Intersections are defined as any point where 3 or more roads meet and density is calculated using kernel density, where closer intersections are weighted higher than further intersections. Intersection density is highly correlated with walking for transportation. For specific information about each community's intersection density layer, consult their individual metadata records: Austin, TX (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B72177756-4DD2-4133-8E85-C4C46BFAEEE2%7D); Birmingham, AL (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7Bc892e710-81cf-4ba3-a551-8024ffa7049f%7D); Baltimore, MD (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7Ba950ce43-bbe0-44ba-805a-b413147e0092%7D); Brownsville, TX (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B990c2af4-2ac6-40f8-a7dc-cfea1479616b%7D); Chicago, IL (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7Bb521f10b-4505-4867-ba2d-70719f667bbb%7D); Cleveland, OH (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7Beb14c0ca-f26c-47eb-8198-02fba73784d6%7D); Des Moines, IA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BA5C3A6F2-CA61-4E78-B57D-289E45B34EF5%7D); Durham, NC (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BAF794837-71B0-4B3F-AA95-996A9C19D8A6%7D); Fresno, CA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B0D3E33D1-81C5-456E-A581-58049701ACED%7D); Green Bay, WI (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BFF478160-DCFF-453D-A7B7-F2C03DF1BC85%7D); Memphis, TN (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B9C5E1317-F07D-4CEF-935A-A494E0BE7A7F%7D); Minneapolis/St. Paul, MN (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7Bea532fdb-df76-4c5b-afcf-2af27d5b5e10%7D); Milwaukee, WI (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B991BCB95-1624-4102-95D5-6B1E382F5C12%7D); New Bedford, MA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B89E0CE0B-DAEE-430E-A8E4-C486B3FD803F%7D); New Haven, CT (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7Bf39d7d21-064d-4498-9926-743d543bc8f0%7D); New York, NY (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BD70DE411-6B72-4806-9B40-04921B3EA230%7D); Phoenix, AZ (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BAFC1F0E1-EC52-41E4-8682-8885BED5A9B7%7D); Pittsburgh, PA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BDA4B629D-3224-45AD-8C32-F27253634ED4%7D); Portland, ME (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B1CAE7A89-3562-4706-AA12-1E6220006179%7D); Paterson, NJ (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7BE1E6BB36-9E9E-41B8-BF44-33D56CCAE145%7D); Portland, OR (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B17F6E916-7805-40AD-85E1-61B63BBDE193%7D); Salt Lake City, UT (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7Bdbab21bf-487d-4116-bbfc-8a26109daf27%7D); Tampa, FL (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B356EC846-7733-4AA3-8E0D-83DFA5AA2C52%7D); Virginia Beach/Williamsburg, VA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B3ff033c2-1d11-4dbf-aea7-f8bb8244bcc3%7D); and Woodbine, IA (https://edg.epa.gov/metadata/catalog/search/resource/details.page?uuid=%7B4E7173AD-5D8E-426A-9431-67FE34833523%7D). This dataset was produced by the US EPA to support research and online mapping activities related to EnviroAtlas. EnviroAtlas

EJSCREEN is an environmental justice (EJ) screening and mapping tool that provides EPA with a nationally consistent dataset and methodology for calculating "EJ indexes," which can be used for highlighting places that may be candidates for further review, analysis, or outreach as the agency develops programs, policies and other activities. The tool provides both summary and detailed information at the Census block group level or a user-defined area for both demographic and environmental indicators. The summary information is in the form of EJ Indexes which combine demographic information with a single environmental indicator (such as proximity to traffic) that can help identify communities living in areas with greater potential for environmental and health impacts. The tool also provides additional detailed demographic and environmental information to supplement screening analyses. EJSCREEN displays this information in color-coded maps, bar charts, and standard reports. Users should keep in mind that screening tools are subject to substantial uncertainty in their demographic and environmental data, particularly when looking at small geographic areas, such as Census block groups. Data on the full range of environmental impacts and demographic factors in any given location are almost certainly not available directly through this tool, and its initial results should be supplemented with additional information and local knowledge before making any judgments about potential areas of EJ concern.

EJSCREEN is an environmental justice (EJ) screening and mapping tool that provides EPA with a nationally consistent dataset and methodology for calculating "EJ indexes," which can be used for highlighting places that may be candidates for further review, analysis, or outreach as the agency develops programs, policies and other activities. This dataset provides state-level percentiles for EJ Indexes and Secondary EJ Indexes for all EJSCREEN environmental indicators (NATA Cancer Risk, NATA Repiratory Hazard Index, NATA Diesel PM, Traffic Proximity, Lead Paint Indicator, Superfund Site Proximity, RMP Facility Proximity, TSDF Facility Proximity, Waterwater Discharge Indicator, NAA Ozone, and NAA PM 2.5).

EJSCREEN is an environmental justice (EJ) screening and mapping tool that provides EPA with a nationally consistent dataset and methodology for calculating "EJ indexes," which can be used for highlighting places that may be candidates for further review, analysis, or outreach as the agency develops programs, policies and other activities. The tool provides both summary and detailed information at the Census block group level or a user-defined area for both demographic and environmental indicators. The summary information is in the form of EJ Indexes which combine demographic information with a single environmental indicator (such as proximity to traffic) that can help identify communities living in areas with greater potential for environmental and health impacts. The tool also provides additional detailed demographic and environmental information to supplement screening analyses. EJSCREEN displays this information in color-coded maps, bar charts, and standard reports. Users should keep in mind that screening tools are subject to substantial uncertainty in their demographic and environmental data, particularly when looking at small geographic areas, such as Census block groups. Data on the full range of environmental impacts and demographic factors in any given location are almost certainly not available directly through this tool, and its initial results should be supplemented with additional information and local knowledge before making any judgments about potential areas of EJ concern.

EJSCREEN is an environmental justice (EJ) screening and mapping tool that provides EPA with a nationally consistent dataset and methodology for calculating "EJ indexes," which can be used for highlighting places that may be candidates for further review, analysis, or outreach as the agency develops programs, policies and other activities. This dataset provides state-level percentiles for EJ Indexes and Secondary EJ Indexes for all EJSCREEN environmental indicators (NATA Cancer Risk, NATA Respiratory Hazard Index, NATA Diesel PM, Traffic Proximity, Lead Paint Indicator, Superfund Site Proximity, RMP Facility Proximity, TSDF Facility Proximity, Wastewater Discharge Indicator, NAA Ozone, and NAA PM 2.5).