首页> 美国卫生研究院文献>Royal Society Open Science >Using Fisher information to assess stability in the performance of public transportation systems
【2h】

Using Fisher information to assess stability in the performance of public transportation systems

机译:使用Fisher信息评估公共交通系统性能的稳定性

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Public transportation systems (PTS) are large and complex systems that consist of many modes operated by different agencies to service entire regions. Assessing their performance can therefore be difficult. In this work, we use concepts of Fisher information (FI) to analyse the stability in the performance of PTS in the 372 US urbanized areas (UZA) reported by the National Transit Database. The key advantage of FI is its ability to handle multiple variables simultaneously to provide information about overall trends of a system. It can therefore detect whether a system is stable or heading towards instability, and whether any regime shifts have occurred or are approaching. A regime shift is a fundamental change in the dynamics of the system, e.g. major and lasting change in service. Here, we first provide a brief background on FI and then compute and analyse FI for all US PTS using monthly data from 2002 to 2016; datasets include unlinked passenger trips (i.e. demand) and vehicle revenue miles (i.e. supply). We detect eight different patterns from the results. We find that most PTS are seeking stability, although some PTS have gone through regime shifts. We also observe that several PTS have consistently decreasing FI results, which is a cause for concern. FI results with detailed explanations are provided for eight major UZA.
机译:公共交通系统(PTS)是大型而复杂的系统,由许多机构运营的多种模式组成,以服务整个地区。因此,评估其性能可能很困难。在这项工作中,我们使用Fisher信息(FI)的概念来分析美国国家运输数据库报告的372个美国城市化地区(UZA)中PTS性能的稳定性。 FI的主要优势在于它能够同时处理多个变量以提供有关系统总体趋势的信息。因此,它可以检测系统是否稳定或趋于不稳定,以及是否已发生或正在发生任何体制转变。体制转移是系统动力学的根本变化,例如服务的重大而持久的变化。在这里,我们首先提供有关金融中介的简要背景,然后使用2002年至2016年的月度数据计算和分析所有美国PTS的金融中介;数据集包括未链接的旅客旅行(即需求)和车辆收入里程(即供应)。我们从结果中检测出八个不同的模式。我们发现,大多数PTS都在寻求稳定,尽管一些PTS已经经历了政权转移。我们还观察到,几个PTS的FI结果一直在下降,这值得关注。提供了针对八个主要UZA的FI结果以及详细说明。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号