Research Article

Incorporating Space-Time Correlation of Population Densities into the Design of a Candidate Rail Transit Line over Years

Table 2

Numerical results.

Temporal ccSpatial cc (km)

−1−130.9817.499.592816911.19
−1−0.829.9516.919.272715811.20
−1−0.628.9316.348.952615811.21
−1−0.417.9115.768.642514811.22
−1−0.226.8815.188.322414811.22
−1015.8614.608.002413711.23
−10.214.8414.027.682313711.24
−10.413.8113.457.372212711.25
−10.622.7912.877.052112611.26
−10.822.7712.296.732011611.27
−1120.7411.716.421911611.29
1−122.0914.369.21201388.60
1−0.821.3613.888.90191388.60
1−0.620.6313.418.60191288.61
1−0.419.9012.938.29181288.61
1−0.219.1712.467.99171178.62
1018.4411.997.68171178.62
10.217.7111.517.38161078.63
10.416.9811.047.08151068.64
10.616.2510.566.77151068.65
10.815.5210.096.4714968.66
1114.799.616.1613968.67

Note: “cc” represents covariance coefficient. represents optimal rail length in year ), represents optimal rail station number in year , and represents the optimal project start time of the candidate rail transit line with respect to the base year.