Integrating Spatial and Temporal Approaches for Explaining Bicycle Crashes in High-Risk Areas in Antwerp (Belgium)

The majority of bicycle crash studies aim at determining risk factors and estimating crash risks by employing statistics. Accordingly, the goal of this paper is to evaluate bicycle−motor vehicle crashes by using spatial and temporal approaches to statistical data. The spatial approach (a weighted kernel density estimation approach) preliminarily estimates crash risks at the macro level, thereby avoiding the expensive work of collecting traffic counts; meanwhile, the temporal approach (negative binomial regression approach) focuses on crash data that occurred on urban arterials and includes tra... Mehr ...

Verfasser: Hwachyi Wang
S. K. Jason Chang
Hans De Backer
Dirk Lauwers
Philippe De Maeyer
Dokumenttyp: Artikel
Erscheinungsdatum: 2019
Reihe/Periodikum: Sustainability, Vol 11, Iss 13, p 3746 (2019)
Verlag/Hrsg.: MDPI AG
Schlagwörter: urban arterial roads / geographic information system / bicycle–motorized vehicle (BMV) crashes / spatial / weighted kernel density estimation / temporal / negative binomial / crash severity index / Environmental effects of industries and plants / TD194-195 / Renewable energy sources / TJ807-830 / Environmental sciences / GE1-350
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-26612847
Datenquelle: BASE; Originalkatalog
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Link(s) : https://doi.org/10.3390/su11133746