中文摘要：

出租车客源的时空分布不均衡,不仅影响着出租车司机的收入,更重要的是极大地影响着出租车作为城市公共交通重要补充作用效益的发挥和提升。由于拒载、空载等因素的影响,传统研究出租车驾驶行为的评价方法,已无法准确表达出租车运营效率。本文以出租车GPS数据为研究对象,通过加入出租车空载状态的影响来优化出租车效率评估模型,首次提出了出租车优质客源的概念,对出租车优质客源进行定义与量化,建立优质客源的时空分析方法,并从出租车行驶轨迹中提取优质客源信息与优质客源的时空分布规律,为改善出租车司机的收益及提高出租车运营效率提供科学依据。

英文摘要：

The uneven spatial and temporal distribution of taxi passengers not only affects cabdrivers＇ incomebut also has an effect on development and enhance of taxi efficiency.Since taxi is regarded as the supplementation of city public transit, it is important to improve the taxi efficiency.According to many former researches done on taxi driving strategies, the objects always aim to focus on the taxi driver, and researchers merely consider the effects of an empty taxi situation, which may affect the taxi efficiency due to the fuel consumption and time cost.In this paper, in order to improve taxis＇ profits and efficiency, we used the taxis＇ GPS big data to opti- mizethe evaluation model of taxi efficiency by taking its empty state into consideration, and proposed the con- cept of high efficiency passengers for the first time. Then, we defined and quantified the high efficiency passengers, and established a new spatial and temporal analysis method for high efficiency passengers. Finally, we extracted high efficiency passenger source information and its spatial and temporal distribution pattern from taxi driving routs.To further verify this method, we took Wuhan＇s taxi data asan example, extracted the high efficiency passenger source from different aspects, such as time, space and screening conditions, and found some distribution patterns of the city passengers through comparison and analysis.According to the distribution patterns, the quantity of high efficiency passengers is associated with traffic conditions, and most high efficiency passengers are distributed far from the downtown area.These facts have proved that the studies on temporal and spatial distribution of high efficiency taxi passengers can provide scientific evidence and references for improving cab drivers＇ income and taxi efficiency.