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北京枢纽地区人行道行人服务水平评价
引用本文:赵琳,边扬,荣建,刘小明.北京枢纽地区人行道行人服务水平评价[J].北京工业大学学报,2014,40(5):725-732.
作者姓名:赵琳  边扬  荣建  刘小明
作者单位:1. 北京工业大学交通工程北京市重点实验室,北京,100124
2. 北京工业大学交通工程北京市重点实验室,北京 100124;交通运输部,北京 100736
基金项目:国家自然科学基金资助项目
摘    要:基于北京市交通枢纽地区行人步行需求,提出不同道路横断面形式影响下的行人服务水平等级划分方法.首先,通过路边询问法获取大样本的行人满意度问卷调查数据,在常规问卷处理方法基础上增加一致性信度检验,对问卷数据的可靠性进行检验.其次,应用独立样本t检验、方差分析等分析方法,分别从参与者自身属性、人行道道路设施、环境条件及交通条件4个方面提取不同道路横断面条件下的行人服务水平显著性影响因素,并以其中一种典型断面为例,建立回归分析模型.最后,采用模糊有序聚类方法进行了行人服务水平等级划分,并给出各服务水平的量化分级标准.

关 键 词:城市交通  行人服务水平  模糊聚类  道路横断面  信度检验

Evaluation on Pedestrian Level of Service of Sidewalks in Beijing Transportation Junction Area
ZHAO Lin,BIAN Yang,RONG Jian,LIU Xiao-ming.Evaluation on Pedestrian Level of Service of Sidewalks in Beijing Transportation Junction Area[J].Journal of Beijing Polytechnic University,2014,40(5):725-732.
Authors:ZHAO Lin  BIAN Yang  RONG Jian  LIU Xiao-ming
Affiliation:ZHAO Lin;BIAN Yang;RONG Jian;LIU Xiao-ming;Key Laboratory of Traffic Engineering,Beijing University of Technology;Ministry Transport of the People’s Republic of China;
Abstract:Based on pedestrians' walking demand in Beijing transportation junction areas,a method for grading pedestrian level of service under the influence of different road cross-sections was proposed.Firstly,the large sample pedestrian satisfaction questionnaire data was obtained through intercept survey method,and consistency reliability test was used to examine the reliability of the questionnaire data.Secondly,this paper used independent sample t-test,variance analysis and correlation analysis to collect significant influence factors affecting pedestrian level of service respectively from the four aspects of participants' self property,the pavement facilities,environment conditions and dynamic traffic conditions,and then regression analysis model was established taking a typical cross-section as an example. Finally,the orderly fuzzy clustering method was used in grading pedestrian level of service and the quantitative grading standard of each level could be obtained.
Keywords:urban traffic  pedestrian level of service  fuzzy clustering  road cross-section  reliability test
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