绘制数字沟:什么可以预测美国各地的互联网接入?
Lillie Greiman1, Arin Leopold1, Catherine Ipsen1
1Research and Training Center on Disability in Rural Communities (Rtc:rural), The Rural Institute for Inclusive Communities at the University of Montana, Missoula, USA.
概括
数字基础设施的访问仍然不平等,持续的数字沟影响了边缘化社区. 地理分析显示,与种族,农村和教育相关的互联网访问差异,特别是在资源较低的地区.
科学领域:
- 社会学 社会学 社会学
- 地理 地理 地理 地理.
- 公共卫生 公共卫生
背景情况:
- 数字基础设施和互联网接入对于经济,教育和社会参与至关重要.
- 由于社会,人口和环境因素,所谓的数字沟仍然存在.
研究的目的:
- 探索县级社会人口特征与互联网接入之间的关联.
- 为了确定数字划分的空间性质.
主要方法:
- 使用空间回归的地理统计分析.
- 应用空间错误模型和残余分析.
主要成果:
- 突出了持续存在的社会,人口和环境数字沟.
- 在种族,农村和教育方面,差异尤其明显.
- 目前的数字机会扩展努力对于资源较低和边缘化社区来说是不够的.
结论:
- 数字沟在空间上集中,并与社会人口因素有关.
- 解决数字不平等问题需要针对服务不足的人群制定有针对性的战略.
- 需要进一步的研究来理解和减轻这些持续的差异.
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