A spatial econometrics analysis for road accidents in Lisbon
by Paula Simões; Sílvia Shrubsall; Isabel Natário
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 10, No. 2, 2015

Abstract: This paper presents a spatial econometrics analysis for the number of road accidents with victims in the smallest administrative divisions of Lisbon, considering as a baseline a log-Poisson model for environmental factors. Spatial correlation is investigated for data alone and for the residuals of the baseline model without and with spatial-autocorrelated and spatial-lagged terms, considering transformed data to meet the specificities of the application of these techniques. In all the cases no spatial autocorrelation was detected. Given the ongoing analysis and the discrete nature of data, several hierarchical log-Poisson models were further fitted, in a Bayesian setting, implementing a different approach and finding some evidences of spatial structure in data.

Online publication date: Wed, 06-May-2015

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