基于大数据的常规公交线路调整客流影响评估方法研究

Evaluation Method for Impact on Passenger Flow Volume of Adjustment Scheme of Conventional Bus Route Based on Big data

常规公交线路有时需要不断地动态调整,以适应城市出行需求以及交通条件的改变。对常规公交线路调整的客流影响进行评估是保障常规公交线路调整方案实施的必要条件。首先,基于大数据技术,获取公交出行的OD(Origin and Destination)信息;其次,通过可替代站点以及可替代OD的判别,识别受影响的客流;最后,计算影响客流因子,并提出客流影响阈值,从而对公交线路调整影响的客流进行分析。结果表明,基于大数据的常规公交线路调整客流影响评估方法相比于传统方法更能准确描述线路调整对于客流的影响类型和影响程度,从而为公交线网优化调整提供依据。

Sometimes the conventional bus route need to be dynamically optimized and adjusted to the change of travel demand and traffic conditions.Evaluation of impact on passenger flow volume of adjustment scheme of conventional bus route is necessary for guaranteeing the implement of the adjustment scheme.Firstly,the OD matrix of its transit passenger flow is analyzed based on big data.Secondly,the affected passenger flow is identified through the identification of alternative stations and alternative OD.Finally,the factor of affected passenger flow is calculated,and threshold of impact factor on the passenger flow is proposed,so as to analyze the impact of bus route adjustment scheme on passenger flow.It is shown that,compared with the traditional methods,the evaluation method for impact on passenger flow volume of adjustment scheme of conventional bus route based on big data can describe the category and degree of impact of bus route adjustment on passenger flow more accurately,so as to provide the basis of the bus network optimization and adjustment.