This paper focuses on land use as the primary variable for transit ridership estimation, with 100 000 points of interest (POIs) in Beijing being extracted from a digital map and classified into five categories according to main transit trip purposes. To better quantify the characteristics of the land surrounding a transit station and further assist sustainable zoning, a multi-level catchment area delineation method that includes pedestrian, traffic, and potential areas is applied. The built areas of different categories of POIs within various catchment areas are used to describe precise land use characteristics of 24 randomly selected transit stations in Beijing. A direct ridership model that involved land use characteristics is developed and combined with the ridership calculated using Beijing transit auto fare collection (AFC) data. Model validation with 10 other randomly selected stations meets initial expectations, indicating that the proposed model has the potential for use to provide a quantitative link between land use and travel demand.

The importance of a transportation terminal’s transfer efficiency to passengers is well known. However, it is still a problem of how to combine the various indicators into a single indicator that can be used to quickly compare transportation terminals’ transfer efficiency and identify those terminals in need of intervention. This paper presents a study that is reflective of such an effort. Using the transfer data obtained from 10 transportation terminals in Beijing, the individual performance measures were combined into a single comprehensive measure through the data envelopment analysis (DEA). Efficiency is allowed to be measured by DEA when decision making units have multiple inputs and multiple outputs. The input variables are the transfer area, operating expense, (the number of) staff in the terminal and the capacity of buses. The output variables are measured by the transfer safety and average transfer time of all the transfer passengers. This paper gained the efficiency order of the 10 transportatio...

Due to the poor transfer organization in urban public transport terminal, pedestrian crowd are often forced to weaving in their transfer flow lines. Frequent weaving behaviors not only decrease passengers’ transfer comfort, but may also trigger serious crowd disaster such as trampling. In order to get accurate understanding of the weaving features of pedestrian crowd and analyze the relevant evolution law, researches have been conducted on the basis of field investigation. First, the typical weaving phenomenon were defined and classified, and a microscopic parameters system of pedestrian crowd weaving flow was constructed. The detection and quantification methods of multiple indicator parameters were also given. Then, correlation between different behavioral parameters was analyzed based on the survey data of weaving pedestrian crowd on the stairs of DongZhiMen (DZM) hub. The basic characteristics and evolution law of the weaving behaviors were then discussed, and conclusions were drawn.