Skip to main content
. 2023 Jun 23;110:103640. doi: 10.1016/j.jtrangeo.2023.103640

Table 6.

Results of models.

Independent variables OLS
SLM
SLX
SDM
Pre During Post Pre During Post Pre During Post Pre During Post
E_catering 0.254*** 0.197*** 0.486*** 0.140*** 0.123*** 0.330*** 0.103** 0.137*** 0.292*** 0.110** 0.136*** 0.302***
NE_catering 2.079*** 1.052*** 2.722*** 1.804*** 0.887*** 2.338*** 1.039*** 0.233* 1.204*** 1.046*** 0.234* 1.206***
E_shopping 0.238** 0.546*** 0.239* −0.065 0.278*** −0.174 0.013 0.183** −0.105 0.009 0.182** −0.116
NE_shopping 0.0242 0.0186 0.042 −0.008 −0.002 −0.002 0.021 0.029 0.035 0.019 0.030 0.034
E_healthcare 0.610* 0.676** 0.451 1.178*** 1.034*** 1.203*** 0.006 0.225 −0.447 −0.1787 0.251 −0.692*
NE_healthcare 0.2262 0.1587 −0.045 0.377** 0.279* 0.164 0.675*** 0.510*** 0.565** 0.671*** 0.514*** 0.558**
E_education 1.943*** 1.437*** 2.350*** 1.079*** 0.814*** 1.161*** 0.694*** 0.318*** 0.536*** 0.654*** 0.323*** 0.475***
NE_education 0.855*** −0.009 1.380*** 0.400** −0.286** 0.757*** 0.244* −0.101 0.574*** 0.258* −0.106 0.595***
landuse_mix 5.301*** 5.207*** 6.555** 16.888*** 12.912*** 22.523*** 3.399* 1.540 3.562 4.001** 1.453 4.279*
Airport_distance 0.159*** 0.105** 0.226*** −0.107** −0.065* −0.147** 0.943*** 1.130*** 1.240*** 1.100*** 1.090*** 1.440***
Railway_distance −0.191*** −0.138*** −0.259*** 0.726*** 0.514*** 0.997*** −1.48*** −1.050*** −1.900*** −1.350*** −1.080*** −1.720***
Ramp_distance −0.227* −0.170 −0.359** 0.453*** 0.319*** 0.587*** 0.151 −0.432* 0.224 −0.008 −0.404* 0.016
Primary_density 5.475*** 2.087*** 6.390*** 1.921*** −0.181 1.593** 1.963*** 0.742 1.750** 2.019*** 0.731 1.784***
Popden 2.150*** 2.300*** 2.850*** 1.070*** 1.360*** 1.360*** 0.252* −0.048 0.049 0.146 −0.021 −0.104
_cons −7.523*** −6.249*** −9.309*** −65.486*** −47.878*** −88.473*** −16.676 −37.835*** −25.898*** −27.625** −34.861*** −39.396**



Independent variables OLS
SLM
SLX
SDM
Pre During Post Pre During Post Pre During Post Pre During Post
W × E_catering 10.254*** −1.082 14.417*** 12.172*** −1.243 17.010***
W × NE_catering 157.776*** 92.046*** 214.344*** 177.457*** 88.798*** 242.104***
W × E_shopping −17.962*** 26.841*** −28.256*** −16.971*** 25.608*** −26.495***
W × NE_shopping −1.161 0.241 −0.454 −1.778 0.2953 −1.316
W × E_healthcare −134.080*** −12.471 −148.218*** −182.545*** −5.786 −211.137***
W × NE_healthcare −31.642*** −84.959*** −44.265*** −36.040*** −83.107*** −50.862***
W × E_education −82.778*** −34.020*** −108.264*** −82.146*** −34.052*** −107.944***
W × NE_education 21.401** −7.110 20.129 30.372*** −7.626 30.845**
W × landuse_mix 24.744 67.831** 40.992 49.815 60.465** 72.699*
W × Airport_distance −2.840*** −3.780*** −3.640*** −3.170*** −3.690*** −4.040***
W × Railway_distance 6.340*** 4.730*** 8.390*** 5.720*** 4.850*** 7.590***
W × Ramp_distance −2.690* 1.640 −4.330** −2.290 1.600 −3.920*
W × Primary_density −83.550*** −65.663*** −122.577*** −86.957*** −63.945*** −129.087***
W × popden 12.000* 26.600*** 19.400*** 18.500*** 24.800*** 27.500***
W × Y 2.664*** 2.597*** 2.706*** −1.795*** 0.446 −1.802***
R-squared 0.594 0.548 0.603 0.522 0.451 0.529 0.740 0.662 0.756 0.743 0.662 0.759
Log-Likelihood 9373 10,271 7896 9998 10,666 8572 10,539 11,031 9175 10,548 11,032 9179
AIC −18,717 −20,511 −15,761 −19,961 −21,298 −17,110 −21,018 −22,003 −18,289 −21,036 −22,005 −18,299
BIC −18,618 −20,413 −15,663 −19,850 −21,186 −16,999 −20,820 −21,806 −18,092 −20,839 −21,815 −18,102
N of Obs. 5268

Note: The dependent variable was transformed by multiplying the value by 1000. E.g.: 1000 essential catering POI is associated with 0.111 taxi trip arrivals in the SDM model.