Research Article

Exploring the Spatial Variation of Access/Egress Distances of Subway Stations Using Mobile Phone Positioning Data in Chengdu, China

Table 7

Global Moran’s I result of variables.

VariablesMoran’s IExpected IVarianceZ-value value

Access distance0.474−0.0040.00112.247<0.001
Egress distance0.409−0.0040.00110.574<0.001
Hotel0.445−0.0040.00113.309<0.001
Residence0.364−0.0040.0019.735<0.001
Life0.381−0.0040.0019.850<0.001
Education0.223−0.0040.0015.951<0.001
Finance0.323−0.0040.0018.406<0.001
Road density0.684−0.0040.00117.601<0.001
Mixed land0.430−0.0040.00111.318<0.001
Age 36–45 egress0.277−0.0040.0017.223<0.001
Maleaccess0.399−0.0040.00110.361<0.001
Maleegress0.431−0.0040.00111.175<0.001
High educationaccess0.077−0.0040.0012.1610.030
High educationegress0.119−0.0040.0013.2860.001

Access represents the access distance. Egress represents the egress distance.