Forecasting Beijing Transportation Hub Areas’s Pedestrian Flow Using Modular Neural Network

Table 1

Correlation analysis between pedestrian flow and influential factors.

	Pearson correlation coefficient	Sig. (2-tailed)
Regional land usage	0.872	0.000	2200
Effective width of sidewalks	−0.296	0.000	2200
Proportion of reverse pedestrians	−0.146	0.000	2200
Type of buffer	−0.242	0.000	1257
On-street parking	0.223	0.000	2200
Isolation between nonmotor vehicles and motor vehicles	−0.072	0.002	1893
Greening	−0.134	0.000	2199
Inside motor vehicle flow	−0.168	0.000	2200
Building facilities	−0.072	0.001	2200
Distance between pedestrian and nonmotor vehicles	0.166	0.000	1893
Distance between pedestrian and motor vehicles	0.131	0.000	2200