摘要
对北京主要铁路车站临近道路交通量的测试结果进行了整理及定性分析,利用SPSS软件对所得统计交通量与车站规模进行了回归分析.得出车站规模越大,车站站前道路的交通负荷越大,两者呈线性正相关的结论,提出了站前道路交通量的预测模型,有助于站前道路的合理规划,并对站前道路交通拥挤问题,提出了合理布置站前广场和发展公共交通的策略.
The traffic volume of the roads near the arterial Beijing station is collected and qualitatively analyzed. The regression analysis with SPSS is carried out to analyze the relationship between the traffic volume and the scale of the rail station. It is demonstrated that the big station always obtains the huge traffic volume on nearby road and there is linear positive correlation between the scale of the station and the traffic volume on nearby road. A prediction model is put forward to solve the problem of planning the nearby road appropriately. The rational layout of the square in the front of the railway station and the development of the pubic transport are both considered to solve the traffic jam problems on nearby roads.
出处
《北京交通大学学报》
EI
CAS
CSCD
北大核心
2005年第4期65-68,共4页
JOURNAL OF BEIJING JIAOTONG UNIVERSITY
基金
铁道部科技开发计划项目(2002Z002)
北京交通大学基金项目(2002SM004)
关键词
铁路车站
交通量
回归分析
<Keyword>rail station
traffic volume
regression analysis
