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Advanced Trip Generation/Attraction Models

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.

Otras comunicaciones del congreso o articulos relacionados con autores/as de la Universidad de Cantabria

 Congreso: Congreso de Ingeniería de Transporte: CIT (11º : 2014 : Santander)

Editorial: Elsevier

 Fecha de publicación: 19/12/2014

Nº de páginas: 10

Tipo de publicación: Comunicación a Congreso

 DOI: 10.1016/j.sbspro.2014.12.155

ISSN: 1877-0428

 Proyecto español: TRA2012-37659

Url de la publicación: http://dx.doi.org/10.1016/j.sbspro.2014.12.155

Autoría

ALEXANDRE AYAYI AMAVI DOSSAVI

ROMERO, JUAN P.

ALBERTO DOMINGUEZ TODA

ANGEL IBEAS PORTILLA