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...

Quantization of the relationship between travel intensity and land use patterns is still a critical problem in urban transportation planning. Achieved researches on land use patterns are restricted to macrodata such as population and area, which failed to provide detail travel information for transportation planners. There is still problem on how to reflect the relationship between transport and land use accurately. This paper presents a study that is reflective of such an effort. A data extraction method is developed to get the travel origin and destination (OD) between traffic zones based on the mobile data of 100,000 residents in Beijing. Then Point of Interests (POIs) data in typical traffic zones was analyzed combined with construction area investigation. Based on the analysis of travel OD and POI data, the average travel intensity of each land use pattern is quantified. Research results could provide a quantitative basis for the optimization of urban transportation planning.