Abstract: The paper proposes an estimation model for operating costs of urban rail transit based on fuzzy clustering, which is applied to calculate life cycle costs of urban rail transit. We take Shijiazhuang urban rail transit Line 1 as an example, and select 14 feature attributes which are per capita GDP, total length, length of laying mode, ratio of laying mode, total quantity of the station, quantity of station for building method, ratio of station for building method, quantity of vehicles, workload of operating, average station distance and so on. Moreover, we take 23 urban rail transit lines as the sample data to estimate operating costs. We divide operating costs of the sample data into high operating costs and low operating costs to calculate the operating costs of ground line and underground line respectively. The estimation results show that underground line operating costs of urban rail transit are about two times greater than ground line operating costs.

Key words: urban traffic；operating cost, fuzzy clustering, urban rail transit；laying mode

摘要： 以城市轨道全寿命周期成本为基础，提出了城市轨道交通运营成本的模糊聚类估算模型. 并以石家庄城市轨道交通规划1号线为例，选取人均国内生产总值、总里程、敷设方式长度、敷设方式比率、车站总数量、敷设方式车站数量、车站比率、车辆数量、运营工作量和平均站距等14个特征属性，依据23条城市轨道交通线路为样本数据，按高运营成本和低运营成本两类，分别计算了地上线和地下线二种敷设方式的运营成本. 估算结果表明，地下线路敷设方式的城市轨道交通的运营成本为地上敷设方式的2倍左右.

关键词: 城市交通, 运营成本, 模糊聚类, 城市轨道交通, 敷设方式