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Unravelling The Road Safety Challenges: A Spatial Analysis Of Road Fatalities Rates

Author

Listed:
  • Elena-Maria Prada

    (Faculty of Economic Cybernetics, Statistics and Informatics, Bucharest University of Economic Studies, Romania)

  • Erika Marin

    (Faculty of Economic Cybernetics, Statistics and Informatics, Bucharest University of Economic Studies, Romania)

  • Monica Roman

    (Faculty of Economic Cybernetics, Statistics and Informatics, Bucharest University of Economic Studies, Romania)

Abstract

Road safety is a critical concern for all countries worldwide. Due to the lockdown measures imposed during the COVID-19 crisis in the European Union (EU), road fatalities have slightly decreased. We address the road safety from a regional perspective by selecting those NUTS 2 regions of the EU that are contiguous and have no missing data. Three steps make up our analysis: first, we analyse spatial autocorrelation globally; next, we analyse it locally; and, finally, we use spatial regression analysis to look at the relationship between the variables. Through the utilization of Moran's I, a spatial autocorrelation statistic, we seek to unveil the hidden patterns surrounding road accident death and injury rates. Also, our analysis includes a series of maps that show the general situation of regional road fatalities as reflection of the results obtained. The findings highlight the need for region-specific interventions and policy adjustments to mitigate road accidents and promote safer transportation systems. By implementing targeted strategies, policymakers and authorities not only can reduce accident rates but also enhance the overall quality of transportation experiences for residents and visitors alike, contributing to a safer, more sustainable future.

Suggested Citation

  • Elena-Maria Prada & Erika Marin & Monica Roman, 2023. "Unravelling The Road Safety Challenges: A Spatial Analysis Of Road Fatalities Rates," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 17(2), pages 26-39, DECEMBER.
  • Handle: RePEc:rrs:journl:v:17:y:2023:i:2:p:26-39
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    References listed on IDEAS

    as
    1. Ali, Qamar & Yaseen, Muhammad Rizwan & Khan, Muhammad Tariq Iqbal, 2019. "The causality of road traffic fatalities with its determinants in upper middle income countries: A continent-wide comparison," Transportation Research Part A: Policy and Practice, Elsevier, vol. 119(C), pages 301-312.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    spatial analysis; spatial autocorrelation; spatial regression; spatial lag; spatial error; road fatalities;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • L91 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Transportation: General

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