基于聚类分析的多指标人行步道服务水平评价方法
A Multi-index Evaluation for the Level of Service of Sidewalks Based on the Clustering Method
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摘要: 在目前的人行步道服务水平评价方法中,行人的主观判断及指标间的相互作用对评价结果准确性有较大影响.为此,作者以北京市中心城的35条步道为样本,从规划人员及行人关心的步道设施、安全性、舒适性及方便性等方面,选取了17个影响步道服务水平的因素,通过模糊聚类方法对步道进行归类并判定各类步道的等级,继而通过因子旋转消除多指标评价中指标间的相互作用,最后进行相关分析,建立了一种人行步道服务水平评价方法,此方法可以对规划中的步道进行服务水平评价,同时因不需行人对步道的主观评价调查,减少了人行步道服务水平评价的工作量.同时,对选取的35条步道进行了"行人对步道的主观评价"调查,结果表明:所建立的评价模型评价结果与行人的主观评价调查结果一致.Abstract: The existing methods of evaluating pedestrian level of service for sidewalks were often based on the pedestrian questionnaire survey which could reflect pedestrians' impression on the actual sidewalks, and then a model for pedestrian level of service for sidewalks was developed. The authors selected 17 factors affecting the level of service of sidewalks from the angle of planners and pedestrians at 35 different sidewalks,which included the sidewalks' facilities,safety,comfort and convenience. Then,the authors classified the sidewalks according to the fuzzy Clustering Method,and eliminated the mutual influence between the 17 factors by using the method of Factor Analysis,finally developed a method of assessing pedestrian level of service for sidewalks based on the correlation analysis. This method of evaluating pedestrian level of service for sidewalks was practical for the planning sidewalks,and could reduce the workload as it didn't need the pedestrian questionnaire survey. Meanwhile,pedestrian questionnaire surveys were also carried out. The result shows that the evalluation results from the suggested method are consistent with the result from the pedestrian questionnaire survey.