论文标题

线上着色:Holc邻里风险地图的锯齿状遗产

Coloring Inside the Lines: The Jagged Legacy of the HOLC Neighborhood Risk Maps

论文作者

Gupta, Arunav

论文摘要

有大量工作探讨了1930年代后期房主贷款公司生产的房屋抵押风险图的歧视性质。但是,几乎没有关注这些地图在创建80年后的城市中是否仍然描述了这些地图是否仍然描述了种族居民界限。为了解决这一差距,马尔可夫链蒙特·卡洛(Markov Chain Carlo)以前在相关文献中未利用,被用来随机生成许多合理的替代抵押安全图。然后,使用香农的熵比较了Holc地图和产生的地图的种族均匀性。这些发现表明,Holc地图对2010年美国十一城市普遍存在的精确种族住宅边界具有显着描述。此处使用的方法是高度模块化和可重复的,可以衡量未来的工作,以衡量不同的结果统计数据,位置,位置和时间段。

There has been a large body of work exploring the discriminatory nature of the home mortgage risk maps produced by the Home Owners' Loan Corporation in the late 1930s. However, little attention has been paid to the question of whether these maps are still descriptive of racial residential boundaries in their cities 80 years after their creation. To address this gap, Markov Chain Monte Carlo, previously unutilized in the relevant literature, is employed to randomly generate many plausible alternative mortgage security maps. Then, the racial evenness of the HOLC maps and the generated maps is compared using Shannon's entropy. These findings indicate that the HOLC maps are significantly descriptive of the precise racial residential boundaries prevalent across eleven US cities in 2010. The methodology used here is highly modular and reproducible, allowing for future work measuring different outcome statistics, locations, and time periods.

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