A spatial econometrics analysis for road accidents in Lisbon

Paula Simões, Sílvia Shrubsall, Isabel Natário

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 on data is investigated for data alone and for the residuals of the baseline model without and with spatial-autocorrelated and spatial-lagged terms. In all the cases no spatial autocorrelation was detected.

Original languageEnglish
Title of host publicationComputational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings
PublisherSpringer-Verlag
Pages269-283
Number of pages15
Volume8581 LNCS
EditionPART 3
ISBN (Print)9783319091495
DOIs
Publication statusPublished - 2014
Event14th International Conference on Computational Science and Its Applications, ICCSA 2014 - Guimaraes, Portugal
Duration: 30 Jun 20143 Jul 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 3
Volume8581 LNCS
ISSN (Print)03029743
ISSN (Electronic)16113349

Conference

Conference14th International Conference on Computational Science and Its Applications, ICCSA 2014
CountryPortugal
CityGuimaraes
Period30/06/143/07/14

Keywords

  • Lagrange Multipliers tests
  • Moran's I
  • Road Accidents
  • Spatial Autoregressive Model (SAR)
  • Spatial Econometrics
  • Spatial Error Model (SEM)

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  • Cite this

    Simões, P., Shrubsall, S., & Natário, I. (2014). A spatial econometrics analysis for road accidents in Lisbon. In Computational Science and Its Applications, ICCSA 2014 - 14th International Conference, Proceedings (PART 3 ed., Vol. 8581 LNCS, pp. 269-283). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8581 LNCS, No. PART 3). Springer-Verlag. https://doi.org/10.1007/978-3-319-09150-1_20