...
首页> 外文期刊>International journal of urban sciences >A syntactic approach to identifying land-use influence on vehicular movement: the case of Lubbock
【24h】

A syntactic approach to identifying land-use influence on vehicular movement: the case of Lubbock

机译:识别土地利用对车辆运动影响的句法方法:拉伯克案

获取原文
获取原文并翻译 | 示例
           

摘要

The theory of unit-segment analysis has shown high competency in modeling vehicular movement networks only by using roadway accessibility embedded in urban morphology. Despite this advancement in space-syntax transportation research, some of the findings of the unit-segment analysis, at the theoretical level, have remained controversial especially in the academic community. One such controversy is the absence of land-use consideration in the analysis model. That is, how is it possible for a unit-segment analysis to predict urban vehicular movement with high accuracy when the analysis model does not even consider traffic information generated by various urban land uses? This study shows that unit-segment analysis, like other syntax models, is also capable of capturing land-use influence on vehicular movement. By using the case of Lubbock, a typical North American city in West Texas, the study produces extensive empirical evidence explaining that the land-use typology and development density of the city are the two key parameters that influence city traffic. Conclusions suggest that the accuracy in modeling urban vehicular movement networks with space syntax is expected to improve even further if these two parameters are introduced into the unit-segment analysis model.
机译:仅通过使用嵌入在城市形态中的道路可及性,单元段分析的理论就显示出在车辆运动网络建模中的高能力。尽管空间句法运输研究取得了进步,但从理论上讲,单位段分析的某些发现仍存在争议,尤其是在学术界。其中一项争议是分析模型中没有土地使用方面的考虑。即,当分析模型甚至不考虑由各种城市土地用途产生的交通信息时,如何进行单元段分析来高精度地预测城市车辆的运动?这项研究表明,与其他语法模型一样,单元细分分析也能够捕获土地利用对车辆行驶的影响。通过以西德克萨斯州典型的北美城市拉伯克为例,该研究得出了广泛的经验证据,解释了该城市的土地利用类型和发展密度是影响城市交通的两个关键参数。结论表明,如果将这两个参数引入单位细分分析模型,则使用空间语法建模城市车辆运动网络的准确性有望进一步提高。

著录项

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