摘要
公共自行车站点是影响公共自行车使用水平的重要因素。为评估城市公共自行车站点的运营现状,综合利用模糊一致理论、两阶段灰色聚类模型及灰色加权关联模型,构建了城市公共自行车站点评价的灰色组合模型,结合衢州市公共自行车系统进行了实例验证并得出了分析结论。结果表明,灰色组合模型能够满足站点评估过程中的灰色性和模糊性,可以有效评估出公共自行车站点的利用情况及关键影响因素,为公共自行车站点的优化提供参考。
Public bicycle station is an important factor that affect the use level of public bicycle. In order to evaluate the operation status of urban public bicycle station,comprehensive use of fuzzy consistent theory,two stage grey clustering model and grey weighted incidence model,the grey combined model of urban public bicycle station evaluation is constructed,the example of public bicycle system in Quzhou is verified and the analysis results are obtained. The result shows that the grey combined model can satisfy the grey and fuzzy characteristics in the station evaluation process can evaluate the utilization of public bicycle station and the key influencing factors effectively,finally,it can provide a reference for the optimization of public bicycle station.
出处
《武汉理工大学学报(信息与管理工程版)》
CAS
2017年第5期610-614,624,共6页
Journal of Wuhan University of Technology:Information & Management Engineering
关键词
交通工程
公共自行车
站点
模糊一致理论
两阶段灰色聚类
灰色加权关联模型
transportation engineering
public bicycle
station
fuzzy consistent matrix
two stages grey clustering
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