Internalizing Travel by Mixing Land Uses: Study of Master-Planned Communities in South Florida

Internalizing Travel by Mixing Land Uses: Study of Master-Planned Communities in South Florida
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DOI:
10.3141/1780-11
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发表时间:
2001
影响因子:
1.7
通讯作者:
R. Ewing;Eric Dumbaugh;Mike Brown
R. Ewing;Eric Dumbaugh;Mike Brown
中科院分区:
工程技术4区
文献类型:
--
作者:
R. Ewing;Eric Dumbaugh;Mike Brown

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规划者、政府官员和大型土地开发商越来越多地推动混合用途开发,以此作为无序扩张的替代方案。他们列出了这种开发的好处之一是对出行的“内部捕获”;也就是说,本来会过滤到区域公路网上的出行将留在现场。然而,关于内部捕获率的信息如此之少,以至于对混合用途开发项目的交通影响研究只不过是一种猜测。为了提高对这一主题的基础知识,并走向更好的预测方法,对佛罗里达州南部的20个混合使用社区进行了研究,以确定土地利用组合对内部捕获率的影响。所研究的社区样本的内部捕获率在产生的所有旅行终点中从0%到57%不等。根据土地利用和可获得性变量建模时,开发规模和区域可获得性都被证明是重要的,前者与内部捕获直接相关,后者与内部捕获相反。最适合的模型解释了内部捕获率差异的不到一半。控制规模和区域可获得性、土地利用组合和密度不具有独立的预测能力。无论是因为数据集、模型规范或分析方法的限制,混合用途开发的好处都没有得到证实。
Planners, public officials, and large-scale land developers increasingly promote mixed-use developments as an alternative to sprawl. They list among the benefits of such developments the “internal capture” of trips; that is, trips that would otherwise have filtered onto the regional road network will remain on site. Yet, so little information is available about internal capture rates that traffic impact studies for mixed-use developments become little more than exercises in speculation. In an attempt to advance basic knowledge of the subject and move toward better prediction methods, 20 mixed-use communities in south Florida were studied to determine the effect of land use mix on internal capture rates. The sample of communities studied had internal capture rates ranging from 0 to 57 percent of all trip ends generated. When modeled in terms of land use and accessibility variables, both the scale of a development and regional accessibility proved significant, with the former directly related to internal capture and the latter inversely related to internal capture. The bestfit model explained just under half of the variance in internal capture rates. Controlling for scale and regional accessibility, land use mix and density did not have independent predictive powers. Whether because of limitations of the data set, model specification, or method of analysis, the benefits of mixed-use development were not borne out.