A Spatio-temporal Analysis of Crime at Washington, DC Metro Rail: Stations’ Crime-generating and Crime-attracting Characteristics as Transportation Nodes and Places

Table 2 Results of negative binomial regression analysis for robberies

	Robbery
	Peak	Non-peak day	Non-peak night
Incident Rate Ratios of Node Variables
Connectedness (crime generator)	2.822	4.459*	2.083
Remoteness (crime attractor)	0.591	0.414	0.745
Incident Rate Ratios of Place Variables
Accessibility and Activity Level (crime generator):
AAL_Peak	1.476†	--	--
AAL_Non-peak day	--	1.183	--
AAL_non-peak night	--	--	1.525*
SES (crime attractor)	0.734†	0.780	0.541***
Other Crimes (crime attractor):
Larceny	0.982	0.974	0.755
Aggravated Assault	2.345*	1.856	1.227
ᅟ	R² = 0.06	R² = 0.04	R² = 0.06

ISSN: 2193-7680