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Mapping Segregation: MIT’s Atlas of Inequality
技术
- 分析与建模 - 机器学习
- 传感器 - 激光雷达/激光扫描仪
适用行业
- 城市与自治市
- 零售
适用功能
- 物流运输
用例
- 智慧城市运营
- 智能照明
挑战
挑战围绕着理解城市中的社会隔离，特别是在美国。对隔离的传统理解是基于地理位置，通常表现为邻近的富裕地区和贫困地区之间的鲜明对比。然而，这种观点没有考虑隔离背后的“原因”，而只关注“地点”。我们面临的挑战是通过使用高频位置数据来了解隔离背后的原因，从而挑战这种传统的隔离概念。从美国 11 个人口最稠密的大都市区收集的数据显示，平均而言，我们每天接触的人中约有 75% 居住在 15 公里以外的地方。这表明，要理解种族隔离，我们需要超越地理位置并开始考虑其背后的原因。
关于客户
本案例研究的客户是公众，特别是居住在城市地区的公众。不平等地图集是任何有兴趣了解城市社会隔离动态的人都可以使用的工具。对于有兴趣解决不平等和种族隔离问题的城市规划者、政策制定者和社会科学家来说，它特别有用。企业还可以使用该工具来了解其经营区域的人口统计数据，并就在哪里开设新地点做出明智的决定。
解决方案
这一挑战的解决方案是开发了不平等地图集，这是一种在线工具，可以绘制城市中 120 万个兴趣点，例如餐馆、大学等。每个点都根据该地方的不平等程度进行着色，这是确定的访问该地点的人们的收入分配有多不平衡。 《不平等地图集》提供了对种族隔离更细致的理解，表明种族隔离不仅与人们居住的地方有关，还与他们访问的地方和所做的选择有关。例如，人们喜欢的食物类型会影响他们所经历的种族隔离，其中拉丁美洲和快餐店的种族隔离最为严重。该地图集还显示，开设一家企业可能会影响一个地区的不平等。例如，波士顿保德信中心 (Prudential Center) 的 Eataly 餐厅的开业，使该地区的总体隔离程度减少了 10%。
运营影响
数量效益
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