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Amenity Index

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DataONE2021-12-05 更新2024-06-08 收录
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资源简介:
This dataset contains an amenity index for all Utah Census Places. Using Census data and other available datasets, an index for 'amenityness' was created. Following Ganning and Flint's previous research note, the index is calculated using physical amenities as well as socio-economic indicators (See: Ganning, Joanna Paulson, and Courtney G. Flint. “Constructing a Community-Level Amenity Index.” Society & Natural Resources 23, no. 12 (November 2, 2010): 1253–58. doi:10.1080/08941920903030132). This index adds context to any study where an understanding of local, natural amenities is valued. It contains the following physical amenity variables: 1. Open Land 2. Open Water 3. Kapos Classification 4. Number of Recreation sites It also includes key indicators which come from Census Data. 1. Employment Diversity 2. Median Household Income 3. Seasonal Housing 4. Population Growth 5. In-migration from out of state 6. In-migration from out of county 7. College education 8. New Housing Built 9. Housing Valued over $175,000 10. Median Rent 11. Median Housing Value 12. Employment in arts, entertainment, recreation, accommodation, and food services. For more information on the calculations and variables, please read Ganning & Flint's research note and the ReadMe file linked to this dataset or the data dictionary within the excel spreadsheet as Tab 2.

本数据集收录了犹他州所有普查指定聚居地(Utah Census Places)的便利设施指数。研究团队结合普查数据与其他公开数据集,构建了「便利度」指数。借鉴甘宁(Ganning)与弗林特(Flint)此前的研究简报,该指数同时纳入实体便利设施与社会经济指标进行计算(详见:Joanna Paulson Ganning、Courtney G. Flint,《构建社区级便利设施指数》,《社会与自然资源》(Society & Natural Resources)第23卷第12期,2010年11月2日,第1253–1258页,DOI: 10.1080/08941920903030132)。 该指数可为所有关注本地自然便利设施的研究提供背景支撑。数据集包含以下实体便利设施变量:1. 开放用地 2. 开放水域 3. 卡波斯分类(Kapos Classification) 4. 休闲场所数量。 此外,数据集还纳入了源自普查数据的核心社会经济指标:1. 就业多样性 2. 家庭收入中位数 3. 季节性住房 4. 人口增长率 5. 州际迁入人口 6. 跨县迁入人口 7. 高等教育普及率 8. 新建住房套数 9. 价值17.5万美元以上的住房占比 10. 租金中位数 11. 住房价值中位数 12. 艺术、娱乐、休闲、住宿与餐饮服务业就业人数。 如需了解指数计算方法与变量详情,请参阅甘宁与弗林特的研究简报、本数据集附带的ReadMe文件,或Excel表格中作为标签页2(Tab 2)的数据字典。
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2021-12-05
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