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 4

Statistical analysis results for the collected data.

GroupMeanStd. devMaxMin

Dependent variablesBOAMR1.610.272.250.70
BOPMR1.110.161.940.81
ALAMR1.720.162.171.22
ALPMR1.110.161.940.81

Independent variablesNOLINE1.230.494.001.00
NOHH29.0710.9563.944.45
TPOP66.3124.46133.359.74
MPOP32.1811.9165.014.92
FPOP34.1212.5968.354.82
NOEMP45.1538.83220.764.21
SALEAREA45.2663.75384.900.37
CBAREA213.53301.592,228.350.86
NOHOSP139.5184.40541.948.44
NOGHOSP0.440.552.950.00
NOHBED625.44430.442,162.9614.10
POP105.442.4515.030.57
POP2010.474.3828.721.39
POP3010.694.2424.441.73
POP4010.634.0320.721.48
POP5010.454.1722.851.50
POP607.783.1217.551.21
POP706.422.5412.940.97
BOWDR79.193.9289.1664.28
ALWDR79.243.9489.0765.38
BOWER20.813.9235.7210.84
ALWER20.763.9434.6210.93