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Journal Article

Citation

Lakes T. Bundesgesundheitsblatt Gesundheitsforschung Gesundheitsschutz 2017; 60(12): 1328-1335.

Vernacular Title

Eine räumlich differenzierte Analyse von Verkehrsunfällen mit Radfahrer- und Fußgängerbeteiligung in Berlin.

Affiliation

Geographisches Institut, Integrative Research Institute on Transformations of Human-Environment Systems (IRI THESys), Humboldt-Universität zu Berlin, Unter den Linden 6, 10099, Berlin, Deutschland. Tobia.Lakes@hu-berlin.de.

Copyright

(Copyright © 2017, Holtzbrinck Springer Nature Publishing Group)

DOI

10.1007/s00103-017-2639-1

PMID

29063156

Abstract

BACKGROUND: In many German cities and counties, sustainable mobility concepts that strengthen pedestrian and cyclist traffic are promoted. From the perspectives of urban development, traffic planning and public healthcare, a spatially differentiated analysis of traffic accident data is decisive.

OBJECTIVES: 1) The identification of spatial and temporal patterns of the distribution of accidents involving cyclists and pedestrians, 2) the identification of hotspots and exploration of possible underlying causes and 3) the critical discussion of benefits and challenges of the results and the derivation of conclusions. MATERIAL AND METHODS: Spatio-temporal distributions of data from accident statistics in Berlin involving pedestrians and cyclists from 2011 to 2015 were analysed with geographic information systems (GIS).

RESULTS: While the total number of accidents remains relatively stable for pedestrian and cyclist accidents, the spatial distribution analysis shows, however, that there are significant spatial clusters (hotspots) of traffic accidents with a strong concentration in the inner city area.

CONCLUSIONS: In a critical discussion, the benefits of geographic concepts are identified, such as spatially explicit health data (in this case traffic accident data), the importance of the integration of other data sources for the evaluation of the health impact of areas (traffic accident statistics of the police), and the possibilities and limitations of spatial-temporal data analysis (spatial point-density analyses) for the derivation of decision-supported recommendations and for the evaluation of policy measures of health prevention and of health-relevant urban development.


Language: de

Keywords

Bike traffic; Pedestrians; Spatial variations; Traffic accidents; Urban development

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