Table 1 Definition of Variables and Their Sources.

From: Different roads take me home: the nonlinear relationship between distance and flows during China’s Spring Festival

Index

Variable Name

Definition

average

statistics

min

max

Dependent Variable

Flow

Total annual intercity contacts (in numbers of people)

25,377.73

82,548.89

2.00

2,014,300.00

Geographical Factors

Distance

Distance between city centers (km)

998.62

654.54

17.16

3,782.35

Population Factors

o_pop/d_pop

City population (in thousands) - measuring population scale

5,949.80

5,053.41

210.00

33,900.00

Economic Factors

o_gdp/d_gdp

City GDP (in million of yuan) - measuring economic scale

592,851.66

725,837.92

21,000.00

3,100,000.00

o_expend/d_expend

City fiscal expenditure (in million of yuan) - measuring public service level

100,326.24

149,203.76

2,772.74

750,000.00

o_sci/d_sci

City science expenditure (in million of yuan) - measuring public service level

3,987.68

8,521.13

9.73

39,000.00

o_indus/d_indus

Proportion of secondary industry in the city - measuring industrial structure

41.58

11.12

4.00

71.34

o_edu/d_edu

City education expenditure (in million of yuan) - measuring public service level

14,984.70

19,309.91

412.49

96,000.00

Environmental Factors

o_aqi/d_aqi

City’s average annual air quality - measuring environmental quality

69.97

18.53

33.45

114.12

o_pm25/d_pm25

City’s average annual pm2.5 - measuring environmental quality

39.52

12.37

14.14

72.36

  1. This table lists the key variables used in the study, including their definitions, measurement methods, and data sources. The table provides essential information for understanding the construction of the research model and its role in explaining population mobility phenomena.