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.

VariablesAbbrevDefinitionsMeanStd.MinMax

(a) Independent variables used in multiple linear regression (MLR)
General traffic time (s)GTTTravel time of the general traffic373.52162.251227.5571,174.473
Accumulated rainfall (l/m2)ARAccumulated rainfall0.0280.1790.0006.500
Previous ridershipPRNumber of boardings from the first bus stop (15) to bus stop 269 (included) in line 14 (Figure 1)35.60817.0610.000125.000
Stream ridershipSRNumber of boardings from bus stop 119 to 127 (included) in line 14 (Figure 1)26.40414.8830.000112.000
Traffic flow rate (veh/h)TFRTraffic flow rate668.512215.0580.0001,194.444
Inductive loop occupancy (%)ILOPRoadway occupancy: Percentage of time that the loop has a vehicle standing over it5.1583.0600.20741.847

(b) Dependent variable used in MLR
Bus travel time (s)BTTTravel time of the bus in the stream784.919143.279329.0001,892.000