Study On Service Level And Pedestrian Facilities Capacity In Urban Rail Transit Station

ABSTRACT:With the growth of urban rail transit, existing lines of supply and demand become saturated. Pedestrian congestion and travel security problems have become more serious. Under the "Public transport priority" policy background, how to optimize the allocation of resources stations, creating personalized travel and transfer environment, enhancing the attractiveness of urban rail transit, became problems which need urban transport practitioners to think about. For this reason, the paper made the following specific work:First, by taking field measurements, video recording and other methods to get the traffic characteristic data of the passenger in urban rail transit station. Then research pace characteristic of passengers at passage, stairs, floodgate machine and queue waiting conduct of passenger at escalators, floodgate machine. It provides data support for pedestrian facilities service division and social force model calibration.Secondly, combining with the pedestrian features of urban rail transit station and related research at home and abroad, this paper determines the service level hierarchy method for pedestrians. Using the questionnaire survey of showing preference, it reveals the passenger perception of facilities service level, defines the service level threshold further, and contrasts with the related research.Furthermore, this paper introduces the basic principle of social force model. Focus on some of its parameters and demarcate it by combining the traffic survey data. And then verify the validity of the parameter calibration through self-organization calibration and data contrast analysis, which prepare for the simulated analysis below.Finally, on the basis of the service level, this paper puts forward the calculation method of traffic capacity for pedestrians. And uses good social force model that has calibrated to simulate and analyze the method is tested and verified by using the method of combining with static analysis and dynamic simulation. And the simulation results are further evaluated based on the examples. Then some optimization improvement measures are proposed for the station in order to improve the traffic capacity for pedestrians. Finally the results show that the methods of the service level classification and capacity calculation putting forward in this article have practicability in a way.