BigCare and Interval
BigCare and Interval

Public Transit Ridership

SKU: PT-RIDES

Metro Transit Authority

2019–2025

$--M · perpetual

Aggregated daily public-transit ridership by mode and line: average daily riders, peak-hour share, and district. For demand modeling and service-planning analysis.

Mobility
South Korea
Aggregated
Ridership

Tables

1

Rows

54,000

Columns

6

Size

3.9 MB

pt_ridership

All data is synthetic and representative of the type of data you will see once purchased.

ColumnTypeDistributionDistinctSensitivity

ride_year

Integer

7

Low

mode

Categorical

3

Low

line

Categorical

5

Low

daily_riders

Integer

14

Low

peak_share

Decimal

14

Low

district

Categorical

5

Medium

Sample of 14 synthetic rows.

ride_year
mode
line
daily_riders
peak_share
district

2025

Subway

Line 2

412000

0.58

Gangnam

2025

Bus

Bus 273

38000

0.49

Mapo

2024

Subway

Line 1

365000

0.61

Jung

2024

Tram

Line 3

21000

0.44

Nowon

2023

Bus

Bus 100

42000

0.52

Seocho

2022

Subway

Line 2

388000

0.6

Gangnam

2021

Subway

Line 1

301000

0.57

Jung

2025

Bus

Bus 100

45000

0.5

Seocho

2024

Subway

Line 2

401000

0.59

Gangnam

2023

Tram

Line 3

19500

0.42

Nowon

2020

Subway

Line 1

254000

0.55

Jung

2022

Bus

Bus 273

35000

0.47

Mapo

2019

Subway

Line 2

376000

0.62

Gangnam

2025

Tram

Line 3

22500

0.45

Nowon