Research Article
Investigating Travel Flow Differences between Peak Hours with Spatial Model with Endogenous Weight Matrix Using Automatic Vehicle Identification Data
Table 4
Estimation results of the SARBP-EWM model and binary probit model for weekday and weekend.
| | Explanatory variables | SARBP-EWM (weekday) | SARBP-EWM (weekend) | Binary probit model (weekday) | Binary probit model (weekend) | | Coef. | t value | Coef. | t value | Coef. | t value | Coef. | t value |
| | Spatial autocorrelation coefficient | | 0.10 | 2.67 | 0.09 | | NA | NA | NA | NA |
| | Coefficient for endogenous variable () | travel_time | 0.08 | | 0.01 | 0.36 | NA | NA | NA | NA | | pop_den | 0.27 | | 0.35 | | NA | NA | NA | NA |
| | Coefficients for facility variables () | Constant | −0.55 | −0.98 | 0.03 | 0.05 | −0.37 | −0.74 | 0.16 | 0.34 | | Office | −0.50 | | −0.39 | | −0.42 | | −0.36 | | | Supermarket | 0.06 | 1.31 | 0.05 | 1.41 | 0.05 | 1.49 | 0.05 | 1.47 | | mid_school | 2.44 | | 1.42 | | 1.88 | | 1.20 | | | Clinic | −0.59 | | −0.44 | | −0.51 | | −0.50 | | | Inn | 0.19 | 1.38 | 0.12 | 1.14 | 0.12 | 1.28 | 0.13 | 1.05 | | Sports | −0.49 | −0.99 | −0.17 | −0.44 | −0.65 | −1.57 | −0.33 | −0.74 |
| | Coefficients for transportation variables () | Constant | 1.92 | | 1.81 | | NA | NA | NA | NA | | road_density | 0.05 | | 0.05 | | NA | NA | NA | NA | | bus_den | 0.02 | 0.46 | 0.02 | 0.53 | NA | NA | NA | NA |
| | Covariance matrix () | | 1.25 (fixed) | NA | 1.25 (fixed) | NA | NA | NA | NA | NA | | −0.70 | −1.58 | −0.98 | | NA | NA | NA | NA | | 1.94 | | 1.93 | | NA | NA | NA | NA |
| | Number of observations | 32 |
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0.05 level; 0.1 level; NA: not applicable. |
