PROPOSAL OF A GEOSTATISTICAL PROCEDURE FOR TRANSPORTATION PLANNING FIELD

Abstract: The main objective of this study is to estimate variables related to transportation planning, in particular transit trip production, by proposing a geostatistical procedure. The procedure combines the semivariogram deconvolution and Kriging with External Drift (KED). The method consists of...

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Main Authors: Samille Santos Rocha, Anabele Lindner, Cira Souza Pitombo
Format: Article
Language:Portuguese
Published: Universidade Federal do Paraná
Series:Boletim de Ciências Geodésicas
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1982-21702017000400636&lng=en&tlng=en
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spelling doaj-69336d78b8da429da56b5f8da05e503e2020-11-24T22:38:58ZporUniversidade Federal do ParanáBoletim de Ciências Geodésicas1982-217023463665310.1590/s1982-21702017000400042S1982-21702017000400636PROPOSAL OF A GEOSTATISTICAL PROCEDURE FOR TRANSPORTATION PLANNING FIELDSamille Santos RochaAnabele LindnerCira Souza PitomboAbstract: The main objective of this study is to estimate variables related to transportation planning, in particular transit trip production, by proposing a geostatistical procedure. The procedure combines the semivariogram deconvolution and Kriging with External Drift (KED). The method consists of initially assuming a disaggregated systematic sample from aggregate data. Subsequently, KED was applied to estimate the primary variable, considering the population as a secondary input. This research assesses two types of information related to the city of Salvador (Bahia, Brazil): an origin-destination dataset based on a home-interview survey carried out in 1995 and the 2010 census data. Besides standing out for the application of Geostatistics in the field of transportation planning, this paper introduces the concepts of semivariogram deconvolution applied to aggregated travel data. Thus far these aspects have not been explored in the research area. In this way, this paper mainly presents three contributions: 1) estimating urban travel data in unsampled spatial locations; 2) obtaining the values of the variable of interest deriving out of other variables; and 3) introducing a simple semivariogram deconvolution procedure, considering that disaggregated data are not available to maintain the confidentiality of individual data.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1982-21702017000400636&lng=en&tlng=endemanda por viagenskrigagemdeconvolução de semivariogramaamostra sistemática desagregadadados agregados.
collection DOAJ
language Portuguese
format Article
sources DOAJ
author Samille Santos Rocha
Anabele Lindner
Cira Souza Pitombo
spellingShingle Samille Santos Rocha
Anabele Lindner
Cira Souza Pitombo
PROPOSAL OF A GEOSTATISTICAL PROCEDURE FOR TRANSPORTATION PLANNING FIELD
Boletim de Ciências Geodésicas
demanda por viagens
krigagem
deconvolução de semivariograma
amostra sistemática desagregada
dados agregados.
author_facet Samille Santos Rocha
Anabele Lindner
Cira Souza Pitombo
author_sort Samille Santos Rocha
title PROPOSAL OF A GEOSTATISTICAL PROCEDURE FOR TRANSPORTATION PLANNING FIELD
title_short PROPOSAL OF A GEOSTATISTICAL PROCEDURE FOR TRANSPORTATION PLANNING FIELD
title_full PROPOSAL OF A GEOSTATISTICAL PROCEDURE FOR TRANSPORTATION PLANNING FIELD
title_fullStr PROPOSAL OF A GEOSTATISTICAL PROCEDURE FOR TRANSPORTATION PLANNING FIELD
title_full_unstemmed PROPOSAL OF A GEOSTATISTICAL PROCEDURE FOR TRANSPORTATION PLANNING FIELD
title_sort proposal of a geostatistical procedure for transportation planning field
publisher Universidade Federal do Paraná
series Boletim de Ciências Geodésicas
issn 1982-2170
description Abstract: The main objective of this study is to estimate variables related to transportation planning, in particular transit trip production, by proposing a geostatistical procedure. The procedure combines the semivariogram deconvolution and Kriging with External Drift (KED). The method consists of initially assuming a disaggregated systematic sample from aggregate data. Subsequently, KED was applied to estimate the primary variable, considering the population as a secondary input. This research assesses two types of information related to the city of Salvador (Bahia, Brazil): an origin-destination dataset based on a home-interview survey carried out in 1995 and the 2010 census data. Besides standing out for the application of Geostatistics in the field of transportation planning, this paper introduces the concepts of semivariogram deconvolution applied to aggregated travel data. Thus far these aspects have not been explored in the research area. In this way, this paper mainly presents three contributions: 1) estimating urban travel data in unsampled spatial locations; 2) obtaining the values of the variable of interest deriving out of other variables; and 3) introducing a simple semivariogram deconvolution procedure, considering that disaggregated data are not available to maintain the confidentiality of individual data.
topic demanda por viagens
krigagem
deconvolução de semivariograma
amostra sistemática desagregada
dados agregados.
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1982-21702017000400636&lng=en&tlng=en
work_keys_str_mv AT samillesantosrocha proposalofageostatisticalprocedurefortransportationplanningfield
AT anabelelindner proposalofageostatisticalprocedurefortransportationplanningfield
AT cirasouzapitombo proposalofageostatisticalprocedurefortransportationplanningfield
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