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A Spatial Econometrics Analysis for Road Accidents in Lisbon

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Book cover Computational Science and Its Applications – ICCSA 2014 (ICCSA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8581))

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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.

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References

  1. Anselin, L., Rey, S.: Properties of tests for spatial dependency in linear regression models. Geographical Analysis 23, 112–131 (1991)

    Article  Google Scholar 

  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. Anselin, L., Bera, A., Florax, R., Yoon, M.: Simple diagnostic tests for spatial dependence. Regional Science and Urban Economics 26, 77–104 (1996)

    Article  Google Scholar 

  4. Anselin, L.: Spatial Regression Analysis in R - A Workbook. Center for Spatially Integrated Social Sciences (2007)

    Google Scholar 

  5. Anselin, L.: Thirty Years of Spatial Econometrics. Papers in Regional Science 89, 3–25 (2010)

    Article  Google Scholar 

  6. Arbia, G.: Spatial Econometrics Statistical Foundations and Applications to Regional Convergence. Springer (2006)

    Google Scholar 

  7. Bivand, R., et al.: spdep: Spatial dependence: weighting schemes, statistics and models (2014)

    Google Scholar 

  8. Carvalho, M.L., Natário, I.: Análise de Dados Espaciais. Sociedade Portuguesa de Estatística (2008)

    Google Scholar 

  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. Fischer, M.M.: Spatial Analysis. Springer (2006)

    Google Scholar 

  11. LeSage, J.: The teory and Practice of Spatial Econometrics. University of Toledo (1999)

    Google Scholar 

  12. McCullagh, P., Nelder, J.: Generalized Linear Models, 2nd edn. Chapman and Hall/CRC, Boca Raton (1989)

    Book  MATH  Google Scholar 

  13. Nunes, A.R.: Modelação Espacial de Acidentes Rodoviários na Cidade de Lisboa. Master Thesis. FCT-UNL (2011)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Instituto Superior de Engenharia de Lisboa and CMA, Rua Conselheiro Emídio Navarro, 1, 1959-007, Lisboa, Portugal

    Paula Simões

  2. CESUR, Instituto Superior Técnico - Technical University of Lisbon, Portugal

    Sílvia Shrubsall

  3. Faculdade de Ciências e Tecnologia (UNL) and CEAUL, Quinta da Torre, 2825-114, Caparica, Portugal

    Isabel Natário

Authors
  1. Paula Simões
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  2. Sílvia Shrubsall
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  3. Isabel Natário
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Editor information

Editors and Affiliations

  1. School of Engineering, University of Basilicata, 85100, Potenza, Italy

    Beniamino Murgante

  2. Department of Computer and Information Sciences, Covenant University, Ota, Nigeria

    Sanjay Misra

  3. Department of Production and Systems, University of Minho, 4710-057, Braga, Portugal

    Ana Maria A. C. Rocha

  4. DICAR, Polytecnico di Bari, 70125, Bari, Italy

    Carmelo Torre

  5. University of Minho, Braga, Portugal

    Jorge Gustavo Rocha  & Maria Irene Falcão  & 

  6. Monash University, 3800, Clayton, VIC, Australia

    David Taniar

  7. Department of Intelligent Informatics,, Kyushu Sangyo University, 2-3-1 Matsukadai, 813-8503, Higashi-ku, Fukuoka, Japan

    Bernady O. Apduhan

  8. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

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© 2014 Springer International Publishing Switzerland

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Simões, P., Shrubsall, S., Natário, I. (2014). A Spatial Econometrics Analysis for Road Accidents in Lisbon. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8581. Springer, Cham. https://doi.org/10.1007/978-3-319-09150-1_20

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  • DOI: https://doi.org/10.1007/978-3-319-09150-1_20

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09149-5

  • Online ISBN: 978-3-319-09150-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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