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Abstract: In this paper, advanced trip generation/attraction models are proposed. A multiple linear regression (MLR) model has been created from zonal data. These models are compared to each other by analyzing their hypothesis and the required adjustments. Additionally, advanced generation/attraction models considering spatial correlation are proposed, and their improvements with reference to previous models not considering spatial correlation are analyzed. A global spatial correlation model that conducts a joint review of every unit in the sample to determine whether the spatial units are randomly distributed or in accordance with a certain pattern is specified. To consider cluster situations in a given area, a local spatial correlation model aimed to measure the spatial autocorrelation to place each observation is defined. The models are applied to the Santander metropolitan area (in Spain) in order to obtain advanced generation/attraction models in that city. For Santander, the models considering spatial dependence among observations have better results than the MLR models.
Congress: Congreso de Ingeniería de Transporte: CIT (11º : 2014 : Santander)
Publisher: Elsevier
Publication date: 19/12/2014
No. of pages: 10
Publication type: Conference object
DOI: 10.1016/j.sbspro.2014.12.155
ISSN: 1877-0428
Spanish project: TRA2012-37659
Publication Url: http://dx.doi.org/10.1016/j.sbspro.2014.12.155
UCrea Repository Read publication
ALEXANDRE AYAYI AMAVI DOSSAVI
ROMERO, JUAN P.
ALBERTO DOMINGUEZ TODA
LUIGI DELL´OLIO
ANGEL IBEAS PORTILLA
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