@article{Xu2022, 
author = {Yajie Xu and Xiangsheng Chen and Xue Bai and Kaifeng Chu},
title = {Analysis on the Passenger Flow Distribution and Its Influencing Factors of the Entrances and Exits of Metro Station},
year = {2022},
journal = {Chinese Journal of Underground Space and Engineering},
volume = {18},
number = {2},
pages = {351-358},
keywords = {entrance and exit of metro station, passenger flow distribution, space syntax, pedestrian volume survey, influencing factor},
url = {https://www.sciopen.com/article/10.20174/j.juse.2022.02.001},
doi = {10.20174/j.juse.2022.02.001},
abstract = {Taking Shanghai People’s Square Metro Station (SPSMS) as a case study, this paper investigated relevant variables influencing the passenger flow distribution of each entrance/exit by analyzing the spatial environment characteristics and group traffic behavior quantitatively, which provides certain basis for the rational planning and layout of the subway entrance. Firstly, methods of space syntax, point of interest (POI) data, traditional field investigation and pedestrian counting were adopted to measure the external spatial characteristics (integration degree, choice value, and POI distribution) and internal spatial characteristics (integration degree, choice value, and degree of convenience) of each entrance/exit. At the same time, pedestrian counting method was used to obtain the passenger flow of 18 entrances and exits in a specific time. Finally, the correlation between variables and the distribution of passenger flow at the entrance and exit were further explored by establishing multiple linear regression models. The results show that the passenger flow distribution at the entrances and exits of subway stations is mainly affected by the external spatial characteristics of subway stations, and has a great correlation with the accessibility of the streets where the exits and entrances are located and the mixing degree of regional functions.}
}