Dependent variable

Models

OLS

SLM

SEM

SDM

(Intercept)

1.715

(0.513)***

−1.082

(0.576)***

1.608

(0.619)***

0.348

(0.886)

Bus stops

0.177

(0.033)***

0.167

(0.031)***

0.162

(0.031)***

0.159

(0.031)***

Hospitals

0.193

(0.093)**

0.156

(0.088)*

0.175

(0.086)**

0.199

(0.087)**

Hotels

−0.188

(0.069)***

−0.174

(0.065)***

−0.128

(0.070)*

−0.107

(0.072)

Pharmacies

0.776

(0.179)***

0.803

(0.169)***

0.704

(0.173)***

0.659

(0.176)***

Restaurants

0.088

(0.026)***

0.077

(0.025)***

0.095

(0.026)***

0.095

(0.026)***

Office buildings

0.271

(0.093)***

0.245

(0.088)***

0.295

(0.091)***

0.308

(0.093)***

Number of observations

686

686

686

686

Spatial lag coefficient (ρ)

-

0.374

-

0.423

Spatial error coefficient (λ)

-

-

0.433

-

Moran’s I residuals

0.212***

0.016

−0.019

−0.018

Moran’s Std. Deviate

10.035

0.890

−0.827

−0.759

Log likelihood

−2344.674

−2315.373

−2310.678

−2307.939

AIC

4705.348

4648.746

4639.355

4645.877