Table 1 Basic statistics of ACS and SafeGraph datasets in 6 most populated US MSAs.

From: Counterfactual mobility network embedding reveals prevalent accessibility gaps in U.S. cities

MSA

NCBG

\({\bar{N}}_{P}\)

\({\bar{N}}_{H}\)

Female%

White%

Bachelor%

Income

Disability%

\({\bar{N}}_{M2019}\)

\({\bar{N}}_{M2020}\)

ΔM

Art%

Sports%

Edu%

Health%

NY

14,308

1352.56

482.54

51.71%

58.09%

37.40%

95726

21.43%

778.83

453.16

325.66

2.41

6.37

6.53

4.41

LA

8239

1600.50

521.57

50.71%

55.02%

31.01%

87253

21.51%

740.58

360.28

380.32

1.91

6.01

6.51

3.68

Chi

6584

1446.81

526.05

51.09%

66.31%

35.15%

85475

20.97%

759.44

535.09

224.35

1.45

6.50

8.60

4.38

Dal

4128

1670.11

587.91

50.83%

69.49%

31.97%

83416

20.64%

1145.52

877.96

267.56

1.07

4.84

8.90

3.99

Hou

3017

2148.69

737.10

50.32%

65.69%

30.02%

85547

20.96%

1029.18

762.67

266.51

0.88

4.95

8.15

3.62

DC

3575

1685.28

604.48

51.18%

55.17%

48.50%

118040

17.71%

676.75

383.81

292.95

1.33

5.84

7.01

3.90