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Table 1 Descriptive statistics of neighborhood environmental attributes (32 neighborhoods)

From: Walking for transportation in Hong Kong Chinese urban elders: a cross-sectional study on what destinations matter and when

Environmental attributes (theoretical range)

M( SD)

Min-Max

Destination prevalence a

  

Health clinics/services (0–77)

4.0 (4.1)

0-14

Places of worship (0–77)

1.7 (2.2)

0-8

Public transit points (0–77)

7.4 (4.5)

1-22

Recreational destinations (0–308)

9.4 (5.2)

1-19

Government/public facilities (0–385)

7.1 (5.6)

0-31

Entertainment destinations (0–231)

2.6 (2.8)

0-12

Non-food retail and services (0–539)

19.7 (21.0)

0-80

Food and grocery stores (0–308)

13.2 (10.7)

0-46

Restaurants (0–385)

19.4 (20.1)

0-82

Destination diversity b

 

Health clinics/services (0–1)

0.8 (0.4)

0-1

Places of worship (0–1)

0.5 (0.5)

0-1

Public transit points (0–1)

1.0 (0.0)

1-1

Recreational destinations (0–5)

2.4 (0.9)

1-5

Government/public facilities (0–5)

2.6 (1.2)

0-5

Entertainment destinations (0–3)

1.1 (1.0)

0-3

Non-food retail and services (0–7)

5.1 (2.4)

0-7

Food and grocery stores (0–4)

3.3 (1.0)

0-4

Restaurants (0–5)

3.6 (1.2)

0-5

Infrastructure c

  

Sloping street (0–100)

14 (22)

0-75

Public facilities (0–100)

16 (9)

0-36

Good path conditions (0–100)

90 (7)

62-100

Path obstructions (0–100)

17 (13)

0-48

Safety c

  

Stray animals (0–100)

2 (5)

0-20

Street lights (0–100)

85 (12)

36-100

Signs of crime/disorder (0–100)

2 (4)

0-12

Pedestrian safety (0–100)

55 (16)

24-83

  1. Notes.a Destination prevalence measures for a specific destination category (e.g., restaurants) represent the sum of the number of neighborhood street segments with specific destination types (e.g., specific types of restaurants) falling within the destination category. b Destination diversity measures represent the number of different types of facilities falling in the same destination category found in a neighborhood. c Safety- and infrastructure-related measures represent the percentage of the highest obtainable scores averaged across street segments falling within a neighborhood.