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首页> 外文期刊>Landscape and Urban Planning >The relationship between tree canopy and crime rates across an urban-rural gradient in the greater Baltimore region.
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The relationship between tree canopy and crime rates across an urban-rural gradient in the greater Baltimore region.

机译：在更大的巴尔的摩地区，树冠与城市范围内犯罪率之间的关系。

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The extent to which urban tree cover influences crime is in debate in the literature. This research took advantage of geocoded crime point data and high resolution tree canopy data to address this question in Baltimore City and County, MD, an area that includes a significant urban-rural gradient. Using ordinary least squares and spatially adjusted regression and controlling for numerous potential confounders, we found that there is a strong inverse relationship between tree canopy and our index of robbery, burglary, theft and shooting. The more conservative spatially adjusted model indicated that a 10% increase in tree canopy was associated with a roughly 12% decrease in crime. When we broke down tree cover by public and private ownership for the spatial model, we found that the inverse relationship continued in both contexts, but the magnitude was 40% greater for public than for private lands. We also used geographically weighted regression to identify spatial non-stationarity in this relationship, which we found for trees in general and trees on private land, but not for trees on public land. Geographic plots of pseudo-t statistics indicated that while there was a negative relationship between crime and trees in the vast majority of block groups of the study area, there were a few patches where the opposite relationship was true, particularly in a part of Baltimore City where there is an extensive interface between industrial and residential properties. It is possible that in this area a significant proportion of trees is growing in abandoned lands between these two land uses.Digital Object Identifier http://dx.doi.org/10.1016/j.landurbplan.2012.03.010
机译：文献中一直在争论城市树木的覆盖范围在多大程度上影响犯罪。这项研究利用了经过地理编码的犯罪点数据和高分辨率树冠层数据来解决马里兰州巴尔的摩市和县的这一问题，该地区包括大量的城乡梯度。通过使用普通最小二乘法和空间调整后的回归并控制众多潜在的混杂因素，我们发现树冠与抢劫，盗窃，盗窃和射击的指数之间存在很强的反比关系。更为保守的空间调整模型表明，树冠增加10％与犯罪减少大约12％有关。当我们按空间模型分解公共和私有所有权的树木覆盖率时，我们发现在两种情况下这种反比关系都继续存在，但是公共土地的数量级比私人土地的数量级大40％。我们还使用地理加权回归来确定这种关系中的空间非平稳性，我们在一般树木和私有土地上的树木中发现了这种非平稳性，但对于公共土地上的树木却没有发现。伪 t 统计数据的地理图表明，尽管研究区域的绝大多数街区组中犯罪与树木之间存在负相关关系，但也有一些地方存在相反的关系，特别是在巴尔的摩市的一部分地区，那里的工业和住宅物业之间有着广泛的联系。在这两个土地用途之间的废弃土地上，可能有大量树木生长在该地区。数字对象标识符http://dx.doi.org/10.1016/j.landurbplan.2012.03.010

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