Pedestrian fatality and natural light: Evidence from South Africa using a Bayesian approach

Sonali Das ()

Economic Modelling, 2014, vol. 38, issue C, 311-315

Abstract: In this paper we use a Bayesian approach to investigate the relationship between pedestrian fatality records from Tshwane and time of fatality. Time of fatality is used as a proxy to reflect the presence of effective lighting, not precluding the presence of any other lighting intervention. In South Africa, for a large proportion (60%) walking is a primary means of transport, with about 45% of all deaths on South African roads being pedestrian. Such reports call for attention to be devoted to analyzing pedestrian fatalities records to locate possible directions of intervention. Results from this analysis reveals that not only does time of day influence pedestrian fatality counts, but also within road types, Municipal roads were the most prone to pedestrian fatalities followed by National roads, while the Regional roads were the least prone to pedestrian fatalities.

Keywords: Pedestrian fatality; Natural light; Intervention; Bayesian; South Africa (search for similar items in EconPapers)
Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecmode:v:38:y:2014:i:c:p:311-315

DOI: 10.1016/j.econmod.2013.11.037

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