Context Walkability

Context Walkability scores how easy it is to walk in a specific geographic region within a Zip Code Boundary, Neighborhood Boundary, Residential Boundary or School Attendance Zone Boundary.

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Context Walkability scores are constructed using two datasets: Boundary products from Precisely and the National Walkability Index from the Environmental Protection Agency (EPA). The EPA's National Walkability Index uses factor such as street intersection density, proximity to transit stops, and variations in land use to measure the probability of people walking as a mode of transportation.

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Context Walkability scores range from 0.0 to 5.0, with higher scores indicating geographic regions that are more conducive to walking.

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Context Walkability data is available with the following polygon products:

- Neighborhood Boundaries
- Residential Boundaries
- School Attendance Zone Boundaries
- ZIP Code Boundaries

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Context Walkability data and geographies are linked by IDs. A universal Context ID links to a polygon ID. In this listing we also have included the separately licensed Precisely Neighborhood Boundaries Product to demonstrate this linkage via a query.

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This sample data set covers the San Francisco, CA area. This represents a subset of the full product’s geographic extent. The full commercial offering features geographic coverage of the entire United States. Contact [e-mail] for more information on licensing the product.

情境步行友好度评分（Context Walkability）用于衡量邮政编码边界、社区边界、住宅边界或学校招生区边界内特定地理区域的步行便捷程度。

情境步行友好度评分基于两类数据集构建：Precisely公司的多边形边界数据集，以及美国环境保护署（Environmental Protection Agency, EPA）推出的国家步行友好度指数（National Walkability Index）。美国环境保护署的国家步行友好度指数以街道交叉口密度、公交站点可达性及土地利用多样性等因素为依据，测算人们选择步行作为出行方式的概率。

情境步行友好度评分的取值范围为0.0至5.0，评分越高代表该地理区域越适宜步行出行。

情境步行友好度数据可搭配以下多边形地理数据集获取：
- 社区边界
- 住宅边界
- 学校招生区边界
- 邮政编码边界

情境步行友好度数据与地理区域通过标识符（ID）建立关联：通用情境ID（Context ID）可匹配多边形地理标识符。本次发布的数据集还包含单独授权的Precisely社区边界数据集产品，用于演示如何通过查询实现该关联关系。

本示例数据集涵盖美国加利福尼亚州旧金山地区，仅为完整产品地理覆盖范围的子集。完整商业版本的产品可覆盖全美全境。如需获取该产品的授权详情，请联系 [e-mail]。

搜集汇总

背景与挑战

背景概述

该数据集通过整合Precisely边界数据和EPA步行指数，对特定地理区域（如邮编区、居民区等）的步行便利性进行0-5分评分。示例数据涵盖旧金山地区，完整商业版覆盖全美范围，需联系授权获取。