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Investigating how land use patterns affect traffic accident rates near frontage road cross-sections: A case study on interstate 610 in Houston, Texas.

机译:调查土地使用方式如何影响临街横断面附近的交通事故率:以德克萨斯州休斯顿的610号州际公路为例。

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摘要

Frontage roads, acting as a transition between high-speed free-flowing traffic on highways and low-speed congestion traffic on local streets, have been used as the "primary design solution" to alleviate traffic congestion on highways in Texas since the late 1940's (Kockelman et al. 2001, 1). Frontage roads in Houston and the rest of Texas were designed to provide easy access to a variety of land use types located near a frontage road cross-section. However, today some land use areas near frontage road cross-sections have become heavily commercialized, which produces more vehicle traffic congestion and accidents (Kockelman et al. 2001). In this study, I propose to take a geographical approach to examining the traffic accident patterns near frontage road cross-sections. Various socioeconomic and land use variables are identified through a multiple linear regression analysis to explain why some frontage road cross-sectional locations have high clusters of accidents. The results show that a higher percentage of commercial and industrial land use, a higher mean household income, and a lower percentage of undevelopable land use have a significant influence in increasing an individual's risk of getting into a vehicle traffic accident near frontage road cross-sections.
机译:自1940年代后期以来,临街道路一直被用作缓解德克萨斯州高速公路交通拥堵的“主要设计解决方案”,这是高速公路上的高速自由流动交通与当地街道上的低速交通拥堵之间的过渡( Kockelman et al。2001,1)。休斯敦和得克萨斯州其他地区的临街道路旨在方便访问临街横截面附近的各种土地使用类型。然而,如今,一些靠近临街路段的土地利用区域已经商业化,这导致了更多的交通拥堵和交通事故(Kockelman等,2001)。在这项研究中,我建议采用地理方法来检查临街横断面附近的交通事故模式。通过多元线性回归分析来识别各种社会经济和土地利用变量,以解释为什么某些临街的横断面位置会产生大量事故。结果表明,较高的商业和工业用地百分比,较高的平均家庭收入和较低的不可开发土地使用率对增加个人在临街横断面附近发生交通事故的风险有重大影响。 。

著录项

  • 作者

    Kusselson, Scott Brian.;

  • 作者单位

    Oklahoma State University.;

  • 授予单位 Oklahoma State University.;
  • 学科 Geography.;Transportation.
  • 学位 M.S.
  • 年度 2013
  • 页码 109 p.
  • 总页数 109
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:41:40

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