Table 6.

p value in ANOVA chi squared test comparing different models for predicting satisfaction with quality of life in the neighborhood (Q1.1).

	Base model	Compare model	P
not satisfied	model 2a	model 1b	1.1 × 10−5***
	Q1.8 and Q2.1a	model 1b	0.70
	Lday,façade	Lday,façade+$L_{T,300,\mathit{\text{eq}}}^{\mathit{\text{eq}}}$	0.036 *
	$L_{T,300,\mathit{\text{eq}}}^{\mathit{\text{eq}}}$	$L_{T,300,\mathit{\text{eq}}}^{\mathit{\text{eq}}}$ + Lday,façade	0.42
	$L_{T,300,\mathit{\text{eq}}}^{\mathit{\text{eq}}}$	$L_{T,300,\mathit{\text{eq}}}^{\mathit{\text{eq}}}$ + $L_{\mathit{\text{BP}},w,\mathit{\text{sel}}}^{\mathit{\text{eq}}}$	0.89
Satisfied	model 2a	model 1b	9.6 × 10−14***
	Q1.8 and Q2.1a	model 1b	0.008 **
	Lday,façade	Lday,façade+$L_{T,300,\mathit{\text{eq}}}^{\mathit{\text{eq}}}$	0.0086 **
	$L_{T,300,\mathit{\text{eq}}}^{\mathit{\text{eq}}}$	$L_{T,300,\mathit{\text{eq}}}^{\mathit{\text{eq}}}$ + Lday,façade	0.73
	$L_{T,300,\mathit{\text{eq}}}^{\mathit{\text{eq}}}$	$L_{T,300,\mathit{\text{eq}}}^{\mathit{\text{eq}}}$ + $L_{\mathit{\text{BP}},w,\mathit{\text{sel}}}^{\mathit{\text{eq}}}$	0.0048 **

^*p < 0.05,

^**p < 0.01 and

^***p < 0.001.