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Spatial disparities of Uber accessibility: An exploratory analysis in Atlanta, USA

机译:Uber可达性的空间差异:美国亚特兰大的探索性分析

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摘要

Inequality of accessibility in transportation systems is a constant concem, which is intensified by the transportation economization process and the digital divide. How should the accessibility of crowdsourced transportation is measured and understood? Without any prior assumption, this paper openly explores spatial disparities of accessibility in the city of Atlanta, USA using both the UberX (the most popular Uber product) and the UberBLACK (the premium Uber product) data. Accessibility is measured by both the expectation and variability of Uber wait time. With spatial autoregressive models, we find that after controlling for other socioeconomic factors, wealth and race do not have significant associations with Uber accessibility. Additionally, higher road network density, population density, and less commuting time to work correlate with greater Uber accessibility. More public transport stops are related to better accessibility of UberX but worse accessibility of UberBLACK. Finally, implications for policy makers are provided. (C) 2017 Elsevier Ltd. All rights reserved.
机译:运输系统中可及性的不平等是一个不变的观念,运输的节约过程和数字鸿沟加剧了这一问题。应该如何衡量和理解众包运输的可及性?在没有任何先验假设的情况下,本文使用UberX(最受欢迎的Uber产品)和UberBLACK(优步Uber产品)数据公开探索了美国亚特兰大市的可及性空间差异。可访问性通过Uber等待时间的预期和可变性来衡量。使用空间自回归模型,我们发现在控制了其他社会经济因素之后,财富和种族与Uber的可及性没有显着关联。此外,更高的路网密度,人口密度和更少的通勤时间与Uber的可及性更高相关。更多的公共交通站点与UberX的可访问性更好,而UberBLACK的可访问性更差有关。最后,提供了对决策者的启示。 (C)2017 Elsevier Ltd.保留所有权利。

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