"Walkability is a measure of the pedestrian environment within each Census tract. The Walkability Index is comprised of a number of factors that influence whether a person will walk, including land use mix, residential density, retail density, and intersection density. Higher scores represent more walkable areas.Scores were calculated for each variable per tract, then standardized (Z-score).The final Walkability score is the sum of all Z-scores (intersection density Z-score was weighted by a factor of two). For more information, see page 85 of the 2013 Health Atlas, which is available as a PDF on the Los Angeles City Planning website, https://planning.lacity.gov."

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.

NDVI calculated at city, district and NBS level from 2018 to 2022 for the cities of Dortmund (Huckarde district), Ningbo (Moon Lake district), Turin (Mirafiori Sud district) and Zagreb (Sesvete district). Walkability index calculated at city and district level in 2018 and in 2022 for the cities of Dortmund (Huckarde district), Ningbo (Moon Lake district), Turin (Mirafiori Sud district) and Zagreb (Sesvete district).

The Walkability Index is a quantitative tool used to measure the pedestrian environment within a geographic area. The Walkability Index is based on a model developed for King County, Washington and Baltimore, Maryland (see reference paper at http://sallis.ucsd.edu/Documents/Pubs_documents/NQLS_Frank%20et%20al%20published%20walkability%20paper.pdf). It includes four components: land use mix, residential density, retail density, and intersection density. Higher scores represent more walkable areas. This data shows the Walkability Index score for each census tract in Los Angeles. Tracts in the Central City, Westlake, Hollywood, and Venice Community Plan Areas have the highest relative Index scores.Use field "Walkabil_1" to project scores and correct features for legend. To learn more about this Index, please review the complete Health Atlas for the City of Los Angeles (pp. 85-86 and 91) or Chapter 7: Land Use of the Health Atlas, both available for download at http://healthyplan.la/the-health-atlas/.Produced by Raimi + Associates for the City of Los Angeles and Los Angeles County. Made possible with funding from the Centers for Disease Control and Prevention through the Los Angeles County Department of Public Health and The California Endowment, May 2013.

The Walk Score(tm) is calculated by mapping out the distance to amenities in nine different categories (grocery stores, restaurants, shopping, coffee shops, banks, parks, schools, book stores/libraries, and entertainment) and are weighted according to importance. The distance to a location, counts, and weights determine a base score of an address, which is then normalized to a score from 0 to 100. More information on Walk Score can be found at http://www.walkscore.com/.Source: Walk ScoreYears Available: 2011, 2017