Transportation hazard spatial analysis using crowd-sourced social network data

Ali J. Ghandour, Huda Hammoud and Luciano Telesca

Physica A: Statistical Mechanics and its Applications, 2019, vol. 520, issue C, 309-316

Abstract: The safety hazard and the additional costs on transportation due to road accidents invite the necessity to minimize their impact. In this paper, we study the spatial-clustering behavior and hazard vulnerability of car accidents that occurred in Lebanon between 2015 and 2018. Assessment of spatial clustering of accidents and hot spots densities were examined using the Global G method of spatial autocorrelation and Getis–Ord Gi∗ statistics. A novel Road Hazard Index (Hi) was proposed to assess hazard vulnerability of road networks and to develop a road hazard prediction model.

Keywords: Spatial analysis; Crowd-sourcing; Car crash map; Hazard assessment (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:520:y:2019:i:c:p:309-316

DOI: 10.1016/j.physa.2019.01.025

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