Abstract
The Chinese national rail transit design specification decides the size of urban rail transit platforms in China. This suggested method treats passengers as homogeneous individuals when calculating the walking area within a platform. However, the heterogeneity of passenger behavior in a rail hub station has not been considered. It is not reasonable to see passengers as homogeneous individuals. In this study, by observing passenger behavior characteristics at rail hub platforms, two parameters were obtained, walking speed and luggage size. Passengers were then accordingly put into different groups, and dynamic spatial demands for each passenger group were calculated by parameter fitting functions. Based on the theory of spatiotemporal consumption, the nonlinear constraint model was constructed to determine the space-time consumption of each passenger group, and finally the area demands of different types of passengers were obtained for different time and passenger flows. An application was made to Beikezhan Station on Xi’an Metro line 2. The calculation results show the area demands ranges of four passenger groups with distinct characteristics, and their space-time consumption varied. The study can calculate the space demands for all passenger varieties within a rail hub transit platform and provide suggestions for the determination of the ideal walking area size of rail transit platforms.
Highlights
Similar to other infrastructure projects, rail transit requires large investment and a long construction period
Planning and design should be undertaken with caution. e construction of urban rail transit lines includes two aspects, namely, rail transit stations and interstation tunnel sections
F15 F16 times that is, the area required by the passengers per second. e calculation results show the sorting of the dynamic space demand values, calculated by classifying the passengers consistent with the predicted values without the classification of passenger groups. e space demand values of the four types of passengers are within a certain range
Summary
Similar to other infrastructure projects, rail transit requires large investment and a long construction period. E calculation method given in the existing standard guidelines appears to have been too simple and based mainly on experience It fails to provide advice on the construction of a large transport hub with distinct passenger flows [16, 17]. Erefore, a more realistic model is needed For filling these gaps, this paper aims to discover the internal functional relationship of passenger group behavior parameters by using field survey data and establish an individual passenger walking area demand model to calculate the platform area from the individual perspective. The intrinsic relationship and demand model of passenger behavior parameters explored in this paper provides a general method for analyzing the platform size of a rail transit hub station.
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