Revisiting the Past: Replicating Fifty-Year-Old Flow Analysis Using Contemporary Taxi Flow Data
Revisiting the Past: Replicating Fifty-Year-Old Flow Analysis Using Contemporary Taxi Flow Data
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DOI：
10.1080/24694452.2017.1374164
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发表时间：
2018-05
影响因子：
3.9
通讯作者：
Urška Demšar;J. Reades;E. Manley;M. Batty
中科院分区：
文献类型：
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作者：
Urška Demšar;J. Reades;E. Manley;M. Batty
60多年前，地理学开始了所谓的定量革命，统计方法第一次被用来解释地理现象的空间性质。计算机使其中一些成为可能，但它们有限的能力只允许进行相对较小的分析探索，因此许多早期的想法现在被埋葬在时间的迷雾中。在这里，我们试图复制这些早期的分析之一，使用出租车流量数据收集于1962年，最初使用的戈达德（1970年，然后在伦敦经济学院）提取功能区内伦敦的城市中心。我们的实验试图复制戈达德的方法对现代出租车流量数据集，通过全球定位系统跟踪获得。我们最初预计，我们的分析将直接与戈达德的，可能提供洞察城市核心的空间结构的时间变化。然而，复制原始分析的尝试被证明是非常困难的，原因有几个，包括研究人员在阐述和使用原始方法时做出的许多主观选择，以及当代出租车流量数据的具体特征。因此，我们选择复制戈达德的方法，尽可能接近和逻辑，并填补空白的基础上统计明智的选择。我们还运行了两个空间尺度上的分析-中央伦敦和更广泛的地区，探讨如何规模的分析，超出了能力的戈达德的早期计算也有助于塑造我们的理解，他得到的结果。
Over sixty years ago, geography began its so-called quantitative revolution, where for the first time statistical methods were used to explain the spatial nature of geographic phenomena. Computers made some of this possible, but their limited power did not allow for more than relatively small analytic explorations and consequently many of these earlier ideas are now buried in the mists of time. Here we attempt to replicate one of these early analyses using taxi flow data collected in 1962 and originally used by Goddard (1970; then at the London School of Economics) to extract functional regions within London's city center. Our experiment attempts to replicate Goddard's methodology on a modern taxi flow data set, acquired through Global Positioning System tracking. We initially expected that our analysis would be directly comparable with Goddard's, potentially providing insights into temporal change in the spatial structure of the city core. Attempts at replicating the original analysis have proved enormously difficult, however, for several reasons, including the many subjective choices made by the researcher in articulating and using the original method and the specific characteristics of contemporary taxi flow data. We therefore opt to replicate Goddard's approach as closely and as logically as possible and to fill in gaps based on statistically informed choices. We have also run the analysis on two spatial scales—Central London and a wider area—to explore how scales of analyses that were beyond the capacities of Goddard's early computations also help to shape our understanding of the results he obtained.