Assessing public transport systems connectivity based on Google Transit data

Assessing public transport systems connectivity based on Google Transit data
复制标题

DOI:
10.1016/j.jtrangeo.2013.09.015
复制
发表时间:
2013-12-01
影响因子:
6.1
通讯作者:
Hadas, Yuval
Hadas, Yuval
中科院分区:
工程技术2区
文献类型:
--
作者:
Hadas, Yuval

文献摘要

被引文献

相似文献

PT 系统由各种物理特征组成,例如道路、铁路、路线和车站,这些物理特征由复杂的时空数据网络表示。由于这些网络通常非常庞大并包含数百万个实体,因此很难评估 PT 系统。在这种情况下,评估被定义为在自动和重复的过程中提取和分析数据的能力,以增强决策并使得可以随着时间的推移对 PT 网络进行比较。这项工作提出的用于提取、存储和分析 PT 数据的统一方法可以使用仅基于以下内容的 GIS 技术进行相对简单的空间分析:(a) Google Transit feeds 和 (b) 交通网络。为了实施这种分析 PT 系统的新方法,引入了五个连通性指标: (a) 交通网络覆盖水平; (b) 平均速度; (c) 交叉口覆盖水平; (d) 停止转移潜力; (e) 路线重叠。这项工作通过分析奥克兰(新西兰)、温哥华(加拿大)和波特兰(美国俄勒冈州)的 PT 系统展示了所提出的方法。 (C) 2013 Elsevier Ltd. 保留所有权利。
A PT system consists of various physical features such as roads, railways, routes, and stops which are represented by a complex network of spatial and temporal data. Since these networks are usually very large and include millions of entities, it is difficult to assess PT systems. Assessment in this context is defined as the ability to extract and analyze data in an automated and recurring process so as to enhance decision making and to make it possible to compare between PT networks over time. The unified methodology that this work presents for extracting, storing and analyzing PT data enables relatively easy spatial analysis with GIS techniques based solely on: (a) Google Transit feeds and (b) Transportation networks. In order to implement this new methodology for analyzing a PT system, five connectivity indicators are introduced: (a) transportation network coverage level; (b) average speed; (c) intersection coverage level; (d) stop transfer potential; and (e) route overlap. This work demonstrates the proposed methodology by analyzing PT systems in Auckland (New Zealand), Vancouver (Canada), and Portland (Oregon, USA). (C) 2013 Elsevier Ltd. All rights reserved.