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		<isbn>978-85-17-00088-1</isbn>
		<label>59818</label>
		<citationkey>TakafujiBacSiqGiaRoc:2017:GeToMa</citationkey>
		<title>Geostatistics as a Tool to Map the Spatio-Temporal Evolution of Car Ownership in São Paulo Metropolitan Area</title>
		<format>Internet</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>1186 KiB</size>
		<author>Takafuji, Eduardo Henrique de Moraes,</author>
		<author>Bacic, Bruna,</author>
		<author>Siqueira-Gay, Juliana,</author>
		<author>Giannotti, Mariana Abrantes,</author>
		<author>Rocha, Marcelo,</author>
		<electronicmailaddress>eduardo.takafuji@usp.br</electronicmailaddress>
		<editor>Gherardi, Douglas Francisco Marcolino,</editor>
		<editor>Aragão, Luiz Eduardo Oliveira e Cruz de,</editor>
		<e-mailaddress>daniela.seki@inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Sensoriamento Remoto, 18 (SBSR)</conferencename>
		<conferencelocation>Santos</conferencelocation>
		<date>28-31 maio 2017</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>6147-6154</pages>
		<booktitle>Anais</booktitle>
		<organization>Instituto Nacional de Pesquisas Espaciais (INPE)</organization>
		<transferableflag>1</transferableflag>
		<abstract>The spatial distribution knowledge of the car ownership per family is essential to characterize urban mobility, accessibility, transport related social exclusion, among others. The commuting from population living at the peripheral areas to access jobs saturate the transport system and car ownership could be a proxy indicator for understanding the populations behavior and its relation with transport infrastructure. To represent better car ownership pattern of behavior by family in the São Paulo Metropolian Area (SPMA), this paper aims to map the cars owned by family using ordinary kriging. Kriging estimation is considered a Best Linear Unbiased Estimator (BLUE) technique that bring the uncertainties associated with the value estimation. This estimation is also important in order to perform multitemporal analysis of car ownership, as census limits changes overtime. So, this paper also provide a comparison between krigged maps from the last two census surveys  year 2000 and year 2010. Thus, a final map was compiled subtracting the resultant of 2010 by the 2000, in order to properly evaluate the car ownership evolution. It could be observed that the car ownership per household has increased in most of the SPMA, especially in cities where the provision of public transport is less present.</abstract>
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		<language>en</language>
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