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 3

Dependent/independent variables.

GroupVariables

Dependent variables(i) BOAMR: concentration rate of boarding during AM peak (%)
(ii) BOPMR: concentration rate of boarding during PM peak (%)
(iii) ALAMR: concentration rate of alighting during AM peak (%)
(iv) ALPMR: concentration rate of alighting during PM peak (%)

Independent variablesMultiday boarding/alighting attributes(i) BOWDR: weekday concentration rate of boarding (%)
(ii) ALWDR: weekday concentration rate of alighting (%)
(iii) BOWER: weekend concentration rate of boarding (%)
(iv) ALWER: weekend concentration rate of alighting (%)
Infra attributes(v) NOLINE: number of transfer lines (lines)
Land-use attributes(vi) SALEAREA: area of sale facilities (1,000 m2)
(vii) CBAREA: area of business facilities (1,000 m2)
(viii) NOSHOP: number of hospitals (places)
(ix) NOGHOSP: number of general hospitals (places)
(x) NOBED: number of beds in hospitals (places)
Sociodemographic attributes(xi) POP10–POP70: population by age (1,000 person)
 (a) 10, 20, 30, 40, 50, 60, over 70s
(xii) TPOP, MPOP, FPOP: population by gender (1,000 persons)
 (b) Total, male, female
(xiii) NOEMP: number of employees (1,000 persons)
(xiv) NOHH: number of households (1,000 households)