Advances in Civil Engineering / 2024 / Article / Tab 2 / 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 2 Literature review of spatiotemporal travel patterns at railway stations.
Research Research objective Data Methodology Liang et al. [8 ] Developing fare adjustment strategies for peak-hour congestion alleviation Train operation schedule data Bilevel model Yu et al. [9 ] Analysis of heterogeneity in peak travel patterns at each railway station and its relationship with land use Smart card data Clustering method Huang et al. [10 ] Development of peak-hour LRT ridership estimation method based on accessibility Socioeconomic attributes, land-use attributes Weighted linear regression model Li et al. [11 ] developing short- to medium-term passenger flow forecasting models for metro stations Smart card data Hybrid model, ARIMA Wang et al. [12 ] Development of coordinated operations for peak-hour railway stations to minimize passenger delays Simulation data Mathematical optimization method Gulhan et al. [13 ] Development of UPT accessibility metrices at the planning stage OD, network Timetable-based assignment Gutiérrez et al. [14 ] Development of station-level boarding and alighting prediction models integrated with GIS data Socioeconomic attributes, network, station-specific boarding volume, etc. Distance-decay weighted regression model