Considering built environment and spatial correlation in modeling pedestrian injury severity

Objective. This study looks at mitigating and aggravating factors that are associated with the injury severity of pedestrians when they have crashes with another road user and overcomes existing limitations in the literature by posing attention on the built environment and considering spatial correlation across crashes. Method. Reports for 6539 pedestrian crashes occurred in Denmark between 2006 and 2015 were merged with geographic information system resources containing detailed information about built environment and exposure at the crash locations. A linearised spatial logit model estimated the probability of pedestrians to sustain a severe or fatal injury conditional on the occurrence of a crash with another road user. Results. This study confirms previous findings about older pedestrians and intoxicated pedestrians being the most vulnerable road users, and crashes with heavy vehicles and in roads with higher speed limits being related to the most severe outcomes. This study provides also novel perspectives by showing positive spatial correlation of crashes with the same severity outcome and emphasising the role of the built environment in the proximity of the crash. Conclusions. This study emphasises the need for thinking about traffic calming measures, illumination solutions, road maintenance programs and speed limit reductions. Moreover, this study emphasises the role of the built environment, as shopping areas, residential areas, and walking traffic density are positively related to a reduction in pedestrian injury severity. Often, these areas have in common a larger pedestrian mass that is more likely to make other road users more aware and attentive, while the same does not seem to apply to areas with lower pedestrian density.

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PID https://www.doi.org/10.1080/15389588.2017.1329535
PID https://www.doi.org/10.6084/m9.figshare.5033390.v2
PID https://www.doi.org/10.6084/m9.figshare.5033390.v1
PID https://www.doi.org/10.6084/m9.figshare.5033390
URL https://orbit.dtu.dk/en/publications/26243187-513a-445d-9cee-48f36de5dd46
URL https://espace.library.uq.edu.au/view/UQ:697042
URL http://www.tandfonline.com/doi/full/10.1080/15389588.2017.1329535
URL https://www.tandfonline.com/doi/full/10.1080/15389588.2017.1329535
URL http://dx.doi.org/10.6084/m9.figshare.5033390.v2
URL http://dx.doi.org/10.6084/m9.figshare.5033390.v1
URL https://backend.orbit.dtu.dk/ws/files/134227164/considering.pdf
URL https://orbit.dtu.dk/en/publications/considering-built-environment-and-spatial-correlation-in-modellin
URL https://www.ncbi.nlm.nih.gov/pubmed/28534647
URL http://dx.doi.org/10.1080/15389588.2017.1329535
URL https://orbit.dtu.dk/files/134227164/considering.pdf
URL https://core.ac.uk/display/132593973
URL https://www.tandfonline.com/doi/pdf/10.1080/15389588.2017.1329535
URL http://dx.doi.org/10.6084/m9.figshare.5033390
URL https://academic.microsoft.com/#/detail/2617040354
URL https://doi.org/10.1080/15389588.2017.1329535
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Access Right Open Access
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Author Thomas Kjær Rasmussen, 0000-0003-0979-9667
Author Carlo Giacomo Prato, 0000-0002-1218-4922
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Collected From ORCID; Datacite; figshare; UnpayWall; Online Research Database In Technology; Crossref; Microsoft Academic Graph
Hosted By figshare; Online Research Database In Technology; Traffic Injury Prevention
Publication Date 2017-05-23
Publisher Informa UK Limited
Additional Info
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Country Denmark
Format application/pdf
Language UNKNOWN
Resource Type Other literature type; Conference object; Article
keyword FOS: Sociology
keyword FOS: Biological sciences
keyword FOS: Earth and related environmental sciences
keyword keywords.Public Health, Environmental and Occupational Health
system:type publication
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Source https://science-innovation-policy.openaire.eu/search/publication?articleId=dedup_wf_001::0d94a3a578d2fc471512ad47301d63c5
Author jsonws_user
Last Updated 26 December 2020, 10:54 (CET)
Created 26 December 2020, 10:54 (CET)