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		<issn>2179-4847</issn>
		<citationkey>MorozBast:2018:SpAnSt</citationkey>
		<title>Spatial analysis and statistics of pedestrian injuries in Curitiba through a Grid database</title>
		<format>On-line</format>
		<year>2018</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>874 KiB</size>
		<author>Moroz, Cassiano Bastos,</author>
		<author>Bastos, Jorge Tiago,</author>
		<affiliation>Universidade Federal do Paraná (UFPR)</affiliation>
		<affiliation>Universidade Federal do Paraná (UFPR)</affiliation>
		<electronicmailaddress>cassianomoroz@gmail.com</electronicmailaddress>
		<electronicmailaddress>jtbastos@ufpr.br</electronicmailaddress>
		<editor>Vinhas, Lúbia (INPE),</editor>
		<editor>Campelo, Claudio (UFCG),</editor>
		<e-mailaddress>lubia@dpi.inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Geoinformática, 19 (GEOINFO)</conferencename>
		<conferencelocation>Campina Grande</conferencelocation>
		<date>05-07 dez. 2018</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>128-133</pages>
		<transferableflag>1</transferableflag>
		<abstract>This study addresses the pedestrian exposure to traffic accidents in the Municipality of Curitiba, in Brazil, by spatially analyzing fatal traffic accidents during the period 2010-2016. The proposed methodology englobes the application of GIS through the implementation of a grid database that correlates, on a macroscale, traffic accidents intensity  calculated by Kernel Density Estimator  with spatial factors of the built environment. Although the statistical analysis has not been concluded, preliminary results demonstrate a relation between population density, monthly income and traffic injuries.</abstract>
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