Advances in Civil Engineering / 2024 / Article / Tab 1 / Research Article
Temporal Variation and Spatial Heterogeneity in Boarding/Alighting Patterns at Urban Railway Stations: Implications for Estimating Optimal Construction Scale—A Case Study in Seoul, South Korea Table 1 Literature review of congestion in railway stations.
Research Research objective Data Methodology Ahn et al. [1 ] Analysis of passenger pedestrian flow for railway station planning and management Survey data (walking path) Gravity model, VISSIM simulation Yang and Tang [2 ] Analysis of peak-hour passenger departure time adjustment effects due to fare discounts OD, network Traffic assignment (UE), queuing theory Teng et al. [3 ] Analysis of psychological factors influencing passengers’ perception of pedestrian environment within railway stations Survey data (SP, RP) Perceived congestion quantization model (regression model) Li et al. [4 ] Analysis of the correlation between land use and railway station utilization patterns Bike-sharing usage history data Random forest model Li et al. [5 ] Development of methodology for analyzing congestion patterns in urban rail networks due to train delays Rail network data Passenger flow congestion model Wang et al. [6 ] Analysis of the characteristics of sudden passenger flow and proposal of congestion management methods in an intelligent urban rail transit network Simulation data Statistical analysis Jiao et al. [7 ] Analysis of the correlation between land use and boarding/alighting patterns based on spatiotemporal similarity in boarding/alighting patterns Smart card data Clustering algorithm