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This study proposed a two-dimensional index system which is concerned essentially with urban travel based on travel modes and user satisfaction. First, the public transit was taken as an example to describe the index system establishing process. In consideration of convenience, rapid, reliability, comfort, and safety, a bus service evaluation index system was established. The indicators include the N-minute coverage of bus stops, average travel speed, and fluctuation of travel time between stops and bus load factor which could intuitively describe the characteristics of public transport selected to calculate bus travel indexes. Then, combined with the basic indicators, the calculation models of Convenience Index (CI), Rapid Index (RI), Reliability Index (RBI), and Comfort Index (CTI) were established based on the multisource data of public transit including the real-time bus GPS data and passenger IC card data. Finally, a case study of Beijing bus operation evaluation and analysis was conducted by taking real bus operation data including GPS data and passenger transaction recorder (IC card data). The results showed that the operation condition of the public transit was well reflected and scientifically classified by the bus travel index models.

Abstract.Taxi is an important part of urban public transportation which meets the demands of special people to travel from door to door. Taxi trip characteristics are influenced by districts location and travel purposes. This paper extracts the time and location information of taxi alighting based on the taxi meter data and taxi GPS data. Based on the point-of-interest (POI) and searching popularity of the POI from online map data, this paper also utilizes the semantic reasoning methods to predict the purpose of taxi travels, and taxi trips are grouped into three most popular types: commuting travel, business travel and external travel. Then, multi-source data analysis models are proposed to calculate the characteristic parameters of taxis trips including average travel mileage, travel time, regional travel intensity of three types of taxi trips. The case study of Beijing selects three typical areas of different land use types. The analysis result shows that trip characteristics of different areas are various and the travel distance in resident area is shortest, and the travelers leave for external transportation hub usually have lower sensitivity to travel mileage; and the taxi travel mileage of business areas are almost same with resident areas, however the travel time is more longer. The analysis results of taxi trips characteristics of different areas revealed in this paper provide significant reference for acquiring the taxi travel demand and travel characteristics, the taxi stations planning, the estimation of the reasonable amount of the taxis and the operation of the intelligent Taxi Dispatching System (TDS).