Research Article
A New Big Data Approach to Understanding General Traffic Impacts on Bus Passenger Delays
Table 1
Definitions and summary statistics of the considered variables.
| Variables | Abbrev | Definitions | Mean | Std. | Min | Max |
| (a) Independent variables used in multiple linear regression (MLR) | General traffic time (s) | GTT | Travel time of the general traffic | 373.521 | 62.251 | 227.557 | 1,174.473 | Accumulated rainfall (l/m2) | AR | Accumulated rainfall | 0.028 | 0.179 | 0.000 | 6.500 | Previous ridership | PR | Number of boardings from the first bus stop (15) to bus stop 269 (included) in line 14 (Figure 1) | 35.608 | 17.061 | 0.000 | 125.000 | Stream ridership | SR | Number of boardings from bus stop 119 to 127 (included) in line 14 (Figure 1) | 26.404 | 14.883 | 0.000 | 112.000 | Traffic flow rate (veh/h) | TFR | Traffic flow rate | 668.512 | 215.058 | 0.000 | 1,194.444 | Inductive loop occupancy (%) | ILOP | Roadway occupancy: Percentage of time that the loop has a vehicle standing over it | 5.158 | 3.060 | 0.207 | 41.847 |
| (b) Dependent variable used in MLR | Bus travel time (s) | BTT | Travel time of the bus in the stream | 784.919 | 143.279 | 329.000 | 1,892.000 |
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