Research Article
Mass Rapid Transit Ridership Forecast Based on Direct Ridership Models: A Case Study in Wuhan, China
Table 3
Summary statistics for candidate variables.
| | Variables | Mean | Max. value | Min. value | Standard deviation |
| | Ridership | 17051 | 68093 | 2011 | 12917 | | Population (person) | 38965 | 105822 | 3268 | 21109 | | Employment (employee) | 22054 | 113886 | 472 | 21441 | | Resi_Area (m2) | 1296607 | 3162713 | 47770 | 637214 | | Com_Area (m2) | 229387 | 1284208 | 2716 | 245010 | | Offi_Area (m2) | 83528 | 419806 | 1035 | 97021 | | Oth_Area (m2) | 472042 | 1194859 | 28566 | 257450 | | Land_use_Mix | 0.358 | 0.681 | 0.154 | 0.123 | | Restaurant_Num | 77 | 441 | 0 | 80 | | College_Num | 2 | 14 | 0 | 2 | | Hospital_Num | 2 | 6 | 0 | 1 | | Shopping_Num | 213 | 1190 | 6 | 208 | | Financial_Num | 25 | 73 | 0 | 19 | | Scenic_spot_Num | 3 | 50 | 0 | 8 | | Ext_hub_Num | 0 | 2 | 0 | 0 | | Parking_Num | 10 | 32 | 0 | 8 | | Recreational_Num | 55 | 200 | 0 | 41 | | Gov_Agency_Num | 17 | 94 | 0 | 20 | | Hotel_Num | 20 | 84 | 0 | 20 | | Road_Len (m) | 9384 | 17422 | 3745 | 2708 | | Auto_domi_Len (m) | 2800 | 5794 | 140 | 1332 | | Dis_to_centers (m) | 4503 | 11670 | 283 | 3027 | | Bus_line_Num | 19 | 52 | 1 | 13 | | Bus_stop_Num | 5 | 15 | 1 | 3 | | Dis_to_station (m) | 270 | 437 | 15 | 74 | | Dummy_terminal | 0 | 1 | 0 | 0 | | Dummy_line_transfer | 0 | 1 | 0 | 0 | | Dummy_modal_transfer | 0 | 1 | 0 | 0 | | Dummy_CBD | 0 | 1 | 0 | 0 | | Dis_between_adj_station (m) | 1201 | 2550 | 755 | 329 | | J_Accessibility (employee/minute) | 5989 | 10235 | 1199 | 2453 | | P_Accessibility (working person/minute) | 7256 | 12035 | 2155 | 2708 |
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