Table 3 Characteristics of each cluster identified in K-mean clustering.

From: Understanding spatial inequalities and stratification in transportation accessibility to social infrastructures in South Korea: multi-dimensional planning insights

Variables

Average network distance

(Units: km)

ANOVA

Burdens

(Units: km)

High

(N = 3,599)

Middle

(N = 660)

Low

(N = 549)

P-value

Middle

Low

Green and recreation

Exercise

2.32

3.11

4.85

 < 0.001

0.79

2.53

Culture

3.27

7.91

12.22

 < 0.001

4.64

8.95

Park

1.74

6.27

11.94

 < 0.001

4.53

10.20

Health and aged care

Gen Hospital

4.69

22.85

26.53

 < 0.001

18.16

21.84

Hospital

4.51

11.92

20.09

 < 0.001

7.41

15.58

Elderly

4.75

15.87

19.20

0.003

11.12

14.45

Welfare

5.29

19.87

22.94

0.316

14.58

17.65

Education

Library

1.72

5.25

8.54

 < 0.001

3.53

6.82

Elementary

1.55

3.84

4.38

 < 0.001

2.29

2.83

Kinder

1.53

4.66

4.47

 < 0.001

3.13

2.94

Justice and emergency services

Police

2.25

5.45

6.55

 < 0.001

3.20

4.30

Fire

2.83

6.84

11.97

 < 0.001

4.01

9.14

  1. All variables are at the Eup/Myeon/Dong (EMD) Level.
  2. Burdens are calculated by measuring differences in average network distance between clusters.
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