基于熵权层次分析法的自行车骑行质量评价方法

Evaluation Method of Bicycle Riding Quality Based on Entropy Weight Method and Analytic Hierarchy Process

为提升自行车出行品质,践行低碳交通理念,本文选取了北京市15条典型自行车道进行调研,邀请志愿者对其出行品质进行打分.考虑到骑行者对安全性、运行效率、便捷性与舒适性4方面需求,从基础设施、交通运行状态和友好措施3个角度筛选了13个评价指标,利用层次分析法与熵权法,分别从主观与客观2个维度计算各影响因素的权重,然后通过博弈论组合赋权法得到最终权重.结果表明:自行车道被违章占用比例、高峰小时非机动车流量、机非隔离方式、自行车道宽度、外侧车道高峰小时机动车流量、电动自行车比例依次为对骑行质量影响的最重要因素.本文还建立了自行车骑行环境评价模型,最后对典型案例进行分析,对权重较大的影响因素进行改进,对现状和改造方案的骑行质量进行评分,验证了评价模型的实用性.

In order to improve the quality of bicycle travel and practice the concept of low-carbon transportation,this paper selects 15 typical bicycle lanes in Beijing for research,and invites volunteers to rate their travel quality.Considering the cyclists needs for safety,operational efficiency,convenience and comfort,13 evaluation indicators were screened from three perspectives:infrastructure,traffic operation status and friendly measures,and the weights of each influencing factor were calculated from the subjective and objective dimensions by using the analytic hierarchy method and the entropy weight method,and then the final weight was obtained by the game theory combinatorial weighting method.The results showed that the proportion of bicycle lanes illegally occupied,the non-motor vehicle flow during peak hours,the non-segregated mode of machines,the width of bicycle lanes,the peak hour motor vehicle flow of the outer lane,and the proportion of electric bicycles were the most important factors affecting the riding quality.In this paper,a bicycle riding environment evaluation model is also established,and finally the typical cases are analyzed,the influencing factors with large weights are improved,and the riding quality of the current situation and transformation scheme is scored,which verifies the practicability of the evaluation model.