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Community design, road safety & transportation sustainability.

机译:社区设计,道路安全和运输可持续性。

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摘要

This research explores the relationship between street network design and key indicators of sustainability such as road safety and mode choice. The basis for this analysis was 230,000 individual crash records geo-coded into a GIS database for over 1,000 Census Block Groups in 24 medium-sized California cities selected from an initial database of over 150 cities. Street network measures were combined with street characteristics, journey to work numbers, socioeconomic data, traffic flow information, and the crash records from eleven years of crash data for five crash severity levels. The fundamental street network characteristics that were considered in this analysis included: street network density, street connectivity, and street network patterns.Overall, we found that high street network densities were correlated with more walking and biking as well as fewer crashes across all severity levels. In fact, the effect of increased street network density was much more pronounced for fatalities than for less severe injuries. This suggests that lower vehicle speeds or differences in travel patterns might be some of the factors contributing to fewer fatalities in denser, more urban environments. Increased street connectivity was significantly associated with a decrease in driving and an increase in crashes. The negative effect of street connectivity may be due to increased traffic conflicts associated with more connectivity however, it is important to keep in mind that the places in our study with highly connected street networks also tended to have complementary design features that were found to increase safety.For all types of street patterns, both street network characteristics and street design factors played a major role in how people use the transportation system and their traffic safety outcomes. Across the board, this research showed that denser, gridded street networks with more urban street features were associated with much more walking, biking, and transit use and a safer overall transportation system. These results suggest that both the design of the street network and the streets themselves work together to influence travel decisions, driver behavior, and vehicle speeds---all of which are factors that affect the total number of crashes and the severity of those crashes.
机译:这项研究探索了街道网络设计与可持续性关键指标(如道路安全和模式选择)之间的关系。该分析的基础是将230,000个单独的崩溃记录地理编码到GIS数据库中,该数据库包含来自150多个城市的初始数据库中的24个加利福尼亚中型城市的1,000多个人口普查阻止小组。街道网络测度与街道特征,上班路程,社会经济数据,交通流信息以及11年碰撞数据的碰撞记录相结合,涉及五个碰撞严重性级别。分析中考虑的基本街道网络特征包括:街道网络密度,街道连通性和街道网络模式总的来说,我们发现较高的街道网络密度与更多步行和骑自行车以及在所有严重程度下发生的碰撞更少相关。实际上,死亡人数的街道网络密度增加的后果要比严重程度较低的伤亡更为明显。这表明较低的车速或不同的出行方式可能是导致人口稠密,城市环境中死亡人数减少的一些因素。街道连通性的提高与驾驶的减少和交通事故的增加显着相关。街道连通性的负面影响可能是由于与更多连通性相关的交通冲突增加,但是,请记住,我们研究中具有高度连通性的街道网络的地方也倾向于具有互补的设计特征,从而提高了安全性对于所有类型的街道模式,街道网络特征和街道设计因素在人们如何使用交通系统及其交通安全结果方面都起着重要作用。总体而言,这项研究表明,具有更多城市街道特征的密集的,网格化的街道网络与更多的步行,骑自行车和公交使用以及更安全的整体交通系统相关。这些结果表明,街道网络的设计和街道本身都可以协同工作,以影响出行决策,驾驶员行为和车速-所有这些都是影响事故总数和事故严重性的因素。

著录项

  • 作者

    Marshall, Wesley Earl.;

  • 作者单位

    University of Connecticut.;

  • 授予单位 University of Connecticut.;
  • 学科 Engineering Civil.Urban and Regional Planning.Transportation.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 167 p.
  • 总页数 167
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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