Research Article

Forecasting Method for Urban Rail Transit Ridership at Station Level Using Back Propagation Neural Network

Table 7

Comparison of results from model and the real contribution rate.

0-1 km1-2 km2-3 km3-4 km4-5 km5-6 km

Contribution rateResult from model0.1610.0690.02550.00980.00670.0059
Actual rate0.190.070.0330.0120.0090.0066
Relative error (%)18.97.123.620.83016.7