• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Transportation >A random heaping model of annual vehicle kilometres travelled considering heterogeneous approximation in reporting
【24h】

A random heaping model of annual vehicle kilometres travelled considering heterogeneous approximation in reporting

机译：考虑报告中的异构近似的年度车辆公里的随机堆积模型

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Annual vehicle kilometres travelled (VKT) is a long used index of car use. Usually, the annual VKT, as reported by respondents, is used for the analysis. But the reported values almost systematically contain approximations such as rounding and heaping. We apply a latent class approach in modelling VKT to account for this problem developed by Heitjan and Rubin (J Am Stat Assoc 85(410):304-314, 1990; Ann Stat 19(4):2244-2253, 1991). Our model takes the form of a mixture of ordered probit models. The level of coarseness in reporting is considered as a latent variable that determines a category the respondent may belong to. Ordered response probit models of VKT are developed for each category. Thresholds are predetermined and model the level of coarseness that relates to the category. Annual VKT is itself assumed to affect the level of coarseness in reporting, thus included as an explanatory variable of the latent coarseness model. It is also modelled by an ordered probit model. The data set used in this study is a panel data of French households' vehicle ownership (Parc-Auto panel survey). The results confirm that the longer VKT results in a larger coarseness in the report. The results also suggest that the coarseness in the report of VKT is larger for commuting car than others. The coefficient estimates on the VKT function are not statistically different from those estimated by conventional regression model of VKT. However, the estimated variance of the error term and the standard errors of the coefficient estimates in the VKT function for the proposed model are smaller than those for conventional regression model, implying that the proposed model is more efficient to investigate the effect of the explanatory variables on VKT than the conventional regression model.
机译：旅行（VKT）的年度车辆公里是一款长期使用的汽车使用指数。通常，受访者报告的年度VKT用于分析。但报告的价值观几乎系统地包含近似值，例如舍入和堆积。我们在建模VKT建模中应用潜在的阶级方法，以解释Heitjan和Rubin开发的这个问题（J AM STAT 85（410）：304-314,1990; Ann Stat 19（4）：2244-2253,1991）。我们的模型采用有序探测模型混合的形式。报告中的粗糙度级别被视为确定受访者属于的类别的潜在变量。为每个类别开发了VKT的订购响应概率模型。阈值是预先确定的，并且模拟了与类别相关的粗糙度。每年的VKT本身就是影响报告中粗糙度的水平，因此包括作为潜在粗糙度模型的解释性变量。它也是由有序概率模型建模的。本研究中使用的数据集是法国家庭车辆所有权的面板数据（Parc-Auto Panel调查）。结果证实，较长的VKT导致报告中的较大粗糙度。结果还表明，vkt报告中的粗糙度比其他人更大。 VKT函数的系数估计与VKT的常规回归模型估计的统计学上没有统计学不同。然而，误差项的估计方差和所提出的模型的VKT函数中的系数估计的标准误差小于传统回归模型的VKT函数中的标准误差，这意味着所提出的模型更有效地调查解释变量的效果在VKT上比传统的回归模型。

著录项

  • 来源
    《Transportation》 |2020年第3期|1027-1045|共19页
  • 作者

    Yamamoto Toshiyuki; Madre Jean-Loup; de Lapparent Matthieu; Collet Roger;

  • 作者单位

    Nagoya Univ Inst Mat & Syst Sustainabil Chikusa Ku C1-3 651 Furo Cho Nagoya Aichi 4648603 Japan;

    French Inst Sci & Technol Transport Dev & Network AME IFSTTAR Lab Econ & Social Dynam Transports DEST 14-20 Blvd Newton B524 Champs Marne F-77447 Marne La Vallee 2 France;

    Univ Appl Sci & Arts Western Switzerland HES SO Sch Engn & Management Vaud HEIG VD Ave Sports 20 CH-1401 Yverdon Switzerland;

    French Inst Sci & Technol Transport Dev & Network AME IFSTTAR Lab Econ & Social Dynam Transports DEST 14-20 Blvd Newton B524 Champs Marne F-77447 Marne La Vallee 2 France;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Bivariate ordered probit model; Coarseness; Latent class model; Rounding; Vehicle use;

    机译：Bifariate有序概率模型;粗糙;潜在级模型;舍入;车辆使用;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

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