A green transportation system composed of transit, busses and bicycles could be a significant in alleviating traffic congestion. However, the inaccuracy of current transit ridership forecasting methods is imposing a negative impact on the development of urban transit systems. Traffic Analysis Zone (TAZ) delineating is a fundamental and essential step in ridership forecasting, existing delineating method in four-step models have some problems in reflecting the travel characteristics of urban transit. This paper aims to come up with a Transit Traffic Analysis Zone delineation method as supplement of traditional TAZs in transit service analysis. The deficiencies of current TAZ delineating methods were analyzed, and the requirements of Transit Traffic Analysis Zone (TTAZ) were summarized. Considering these requirements, Thiessen Polygon was introduced into TTAZ delineating. In order to validate its feasibility, Beijing was then taken as an example to delineate TTAZs, followed by a spatial analysis of office buildings within a TTAZ and transit station departure passengers. Analysis result shows that the TTAZs based on Thiessen polygon could reflect the transit travel characteristic and is of in-depth research value.

Existing traffic hubs have shown to exert significant effects upon the alleviation of traffic congestion in Beijing in recent years. However, due to their defects in capacity, efficiency, comfort and other aspects, the attractiveness of public transport to the public is at a competitive disadvantage to private cars. It is still a problem when evaluating and increasing the transfer performance of traffic hubs efficiently. This paper presents a typical evaluation indicator system. The specific indicators include: transport capacity matching degree, bypassing degree, average walking distance, conflicts safety, transfer comfort, etc. Based on the calculating method of each selected indicator, field investigations on Xidan station, Jianguomen station, and Guomao station of Beijing subway line 1 were conducted to obtain the required basic data. The Principal Component Analysis was used later to evaluate these hubs. According to the analysis result, advantages and disadvantages of each station were discussed together with recommendations.