基于多指标协同的公交大站快车站点推荐方法

现有公交大站快车站点选择方法存在未考虑站点枢纽作用，以及未融合多源数据等不足。本文引入复杂网络理论，融合公交车和出租车客流数据，提出一种综合考虑站点客流，潜在客流及交通枢纽作用的多指标协同的公交大站快车站点推荐方法。该方法基于公交客流，线路数据和出租车客流数据，分别计算公交线路站点客流集散量和潜在客流集散量；通过构建有向加权的城市公交复杂网络，计算公交站点重要度；在此基础上，综合3个指标，采用层次分析法计算指标权重，统计得到公交站点综合评分，建立大站快车站点组合推荐方法，得到大站快车线路站点组合。以厦门市为例进行大站快车站点推荐实验，结果表明，在传统方法的基础上，加入公交站点重要度及潜在客流集散量两个新指标得到的公交大站快车推荐站点更符合居民出行的实际需要。

Stop Selection of Limited-stop Bus Services Based on Multi-criteria Collaboration

There are two drawbacks in the existing methods on the stop selection of express bus services. One is that the pivotal role of bus stops is ignored, and the other is that the methods usually only consider bus passenger flow data but does not consider other data sources such as taxi. By introducing the complex network theory, this paper integrates the bus and taxi passenger flow data, and proposes a recommendation method of limited-stop bus stops based on multicriteria collaboration which comprehensively considers the passenger volume at bus stops, potential passenger flow and the pivotal role of bus stops. Firstly, based on the data of bus passenger flow, bus lines and taxi passenger flow, we calculate the bus passenger volume and potential passenger volume. Secondly, the importance degree of bus stops is calculated by constructing a directed-weighted complex network model of the urban bus system. Finally, the important degree of bus stops, passenger volume and potential passenger volume are weighted and summed to gain the comprehensive score of bus stops by analytic hierarchy process, and the recommendation method of the bus stop combination is constructed. Taking Xiamen as an example, the method is applied to conduct the bus stops recommendation. The results show that, with the introduction of the stop importance and potential passenger volume, the recommended stops are more suitable for the actual resident travel demand compared with the traditional methods.