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A Spatial Econometrics Analysis for Road Accidents in Lisbon

  • Paula Simões
  • Sílvia Shrubsall
  • Isabel Natário
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8581)

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.

Keywords

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

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References

  1. 1.
    Anselin, L., Rey, S.: Properties of tests for spatial dependency in linear regression models. Geographical Analysis 23, 112–131 (1991)CrossRefGoogle Scholar
  2. 2.
    Anselin, L., Florax, R.: Small sample properties of tests for spatial dependence in regression models: Some further results. In: Anselin, L., Florax, R. (eds.) New Directions in Spatial Econometrics Geographical Analysis. Springer, Berlin (1995)Google Scholar
  3. 3.
    Anselin, L., Bera, A., Florax, R., Yoon, M.: Simple diagnostic tests for spatial dependence. Regional Science and Urban Economics 26, 77–104 (1996)CrossRefGoogle Scholar
  4. 4.
    Anselin, L.: Spatial Regression Analysis in R - A Workbook. Center for Spatially Integrated Social Sciences (2007)Google Scholar
  5. 5.
    Anselin, L.: Thirty Years of Spatial Econometrics. Papers in Regional Science 89, 3–25 (2010)CrossRefGoogle Scholar
  6. 6.
    Arbia, G.: Spatial Econometrics Statistical Foundations and Applications to Regional Convergence. Springer (2006)Google Scholar
  7. 7.
    Bivand, R., et al.: spdep: Spatial dependence: weighting schemes, statistics and models (2014)Google Scholar
  8. 8.
    Carvalho, M.L., Natário, I.: Análise de Dados Espaciais. Sociedade Portuguesa de Estatística (2008)Google Scholar
  9. 9.
    European Transport Safety Council. 5th Road Safety PIN Report. Road Safety Target Outcome: 100,000 fewer deaths since 2001. Brussels (2011), http://www.etsc.eu/documents/pin/report.pdf (downloaded in May 2012)
  10. 10.
    Fischer, M.M.: Spatial Analysis. Springer (2006)Google Scholar
  11. 11.
    LeSage, J.: The teory and Practice of Spatial Econometrics. University of Toledo (1999)Google Scholar
  12. 12.
    McCullagh, P., Nelder, J.: Generalized Linear Models, 2nd edn. Chapman and Hall/CRC, Boca Raton (1989)CrossRefzbMATHGoogle Scholar
  13. 13.
    Nunes, A.R.: Modelação Espacial de Acidentes Rodoviários na Cidade de Lisboa. Master Thesis. FCT-UNL (2011)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Paula Simões
    • 1
  • Sílvia Shrubsall
    • 2
  • Isabel Natário
    • 3
  1. 1.Instituto Superior de Engenharia de Lisboa and CMALisboaPortugal
  2. 2.CESURInstituto Superior Técnico - Technical University of LisbonPortugal
  3. 3.Faculdade de Ciências e Tecnologia (UNL) and CEAULCaparicaPortugal

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