CAJ | 학술논문

根据公共自行车在租赁点间的自流动性，利用城市公共自行车系统运行的OD数据，采用关联规则将具有较强相关性的租赁点归于同一个集合并赋予相应属性，然后对各集合中的租赁点进行空间聚类划分，最后生成调度区域划分方案；以杭州市公共自行车系统为对象进行划分仿真实验，结果表明：本文提出的基于关联规则的公共自行车调度区域聚类划分方法，兼顾城市公共自行车系统租赁点的空间和非空间属性，能够为公共自行车实时调度提供一种科学有效的调度区域划分方案。
근거공공자행차재조임점간적자류동성，이용성시공공자행차계통운행적OD수거，채용관련규칙장구유교강상관성적조임점귀우동일개집합병부여상응속성，연후대각집합중적조임점진행공간취류화분，최후생성조도구역화분방안；이항주시공공자행차계통위대상진행화분방진실험，결과표명：본문제출적기우관련규칙적공공자행차조도구역취류화분방법，겸고성시공공자행차계통조임점적공간화비공간속성，능구위공공자행차실시조도제공일충과학유효적조도구역화분방안。
According to the self-liquidity of public bicycles among rental points,taking use of public bicycle system’s running OD data, association rules are used to have greater relevance points into a single collection and give them corresponding properties. The method of spatial clustering division is used to the collections to generate final districtions.Taking Hangzhou public bicycle system as an example, the division method is used.The results showed that the clustering division of public bicycle scheduling region based on association rules method proposed in this paper not only takes into account the non-spatial attributes of rental points, but also into the spatial attributes of rental points.It provides a scientific and effective scheme for the real-time scheduling of public bicycle sysytem.