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The effects of congestion charging on road traffic casualties: A causal analysis using difference-in-difference estimation

机译:拥堵收费对道路交通伤亡的影响:基于差异估计的因果分析

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摘要

This paper aims to identify the impacts of the London congestion charge on road casualties within the central London charging zone. It develops a full difference-in-difference (DID) model that is integrated with generalized linear models, such as Poisson and Negative Binomial regression models. Covariates are included in the model to adjust for factors that violate the parallel trend assumption, which is critical in the DID model. The lower Bayesian Information Criterion value suggests that the full difference-in-difference model performs well in evaluating the relationship between road accidents and the London congestion charge as well as other socio-economic factors. After adjusting for a time trend and regional effects, the results show that the introduction of the London congestion charge has a significant influence on the incidence of road casualties. The congestion charge reduces the total number of car accidents, but is associated with an increase in two wheeled vehicle accidents.
机译:本文旨在确定伦敦交通拥堵收费对伦敦市中心收费区域内道路人员伤亡的影响。它开发了与差分线性模型(例如泊松模型和负二项式回归模型)集成的完整差分模型(DID)。模型中包含协变量,以调整违反平行趋势假设的因素,这在DID模型中至关重要。较低的贝叶斯信息准则值表明,完全差异模型在评估道路交通事故与伦敦交通拥堵收费以及其他社会经济因素之间的关系方面表现良好。在对时间趋势和区域影响进行调整后,结果表明伦敦交通拥堵费的引入对道路人员伤亡的发生率有重大影响。拥堵收费减少了交通事故的总数,但与两轮轮式交通事故的增加相关。

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  • 来源
    《Accident Analysis & Prevention》 |2012年第2012期|366-377|共12页
  • 作者单位

    Centre for Transport Studies, Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, UK;

    Centre for Transport Studies, Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, UK;

    Centre for Transport Studies, Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, UK;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    london congestion charge; causal analysis; difference-in-difference;

    机译:伦敦交通拥堵费;因果分析;差异中的差异;

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