Travel flow aggregation: Nationally scalable methods for interactive and online visualisation of transport behaviour at the road network level
Travel flow aggregation: Nationally scalable methods for interactive and online visualisation of transport behaviour at the road network level
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DOI：
10.1177/2399808320942779
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发表时间：
2020-07-29
影响因子：
3.5
通讯作者：
Lovelace, Robin
中科院分区：
文献类型：
--
作者：
Morgan, Malcolm;Lovelace, Robin
在交通规划中，代表数百万条出行意愿线和路线的始发地-目的地数据集是常见的，但将这些数据集可视化是具有挑战性的。现有的方法往往产生难以辨认的结果，空间分辨率低，或者只能相对地指示每条道路上的流量变化。本文提出了一种新的开源算法OVERLINE及其伴随方法，可以有效地将不同的地理交通数据转换为与政策相关的摘要形式。具体地说，OVERLINE将许多单独的路线聚合到一个路线网络地图中。这些矢量和栅格地图提供每条道路和交叉口的总流量计数，并可根据区域或国家数据集进行缩放。该方法是通过将英格兰和威尔士全境的400万条路线可视化，以供公众访问的网络地图应用程序-骑行倾向工具-来演示的。
Origin-destination datasets representing millions of travel desire lines and routes are common in transport planning, but visualising such datasets is challenging. Existing methods often produce illegible results, low spatial resolution, or only a relative indication of the variation of flow on each road. This paper presents a new open-source algorithm called overline along with an accompanying method, to efficiently convert disparate geographical transport data into a policy-relevant summary form. Specifically, overline aggregates many individual routes into a route network map. These vector and raster maps provide total flow counts for each road and junction and are scalable to regional or national datasets. The method is demonstrated by visualising four million routes for a publicly accessible web mapping application, the Propensity to Cycle Tool, across the whole of England and Wales.