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Conference Paper: Spatial point analysis of road crashes in Shanghai: A GIS-based network kernel density method

TitleSpatial point analysis of road crashes in Shanghai: A GIS-based network kernel density method
Authors
Keywordscrashes
GIS
kernel density
network
trafffic
Issue Date2011
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1002915
Citation
The 19th International Conference on GeoInformatics (Geoinformatics 2011), Shanghai, China, 24-26 June 2011. In Conference Proceedings, 2011, p. 1-6 How to Cite?
AbstractAs road crashes are constrained to a one-dimensional space, this paper analyzes the spatial distribution of road crashes with a GIS-based network-constrained kernel density method. A dissolving procedure is introduced before road segmentation, which can significantly reduce the undesirable effects during the segmentation process. The result of the sensitivity analysis reflects that the bandwidth imposes great impacts on the spatial distribution of density estimates. Different bandwidths may be considered for different types of traffic crashes. In particular, vehicle-pedestrian crashes in downtown areas tend to be highly localized and a narrower bandwidth is more appropriate. Vehicle-vehicle crashes at the suburb and rural areas, however, tend to happen in a less concentrated manner along a continuous stretch of dangerous road segments; and a wider bandwidth is more powerful in identifying these hot zones. Based on our results, administrations can gain more information on hazardous road locations, conduct investigations and propose improvement measures. © 2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/141610
ISBN
References

 

DC FieldValueLanguage
dc.contributor.authorLoo, BPYen_HK
dc.contributor.authorYao, Sen_HK
dc.contributor.authorWu, Jen_HK
dc.date.accessioned2011-09-23T06:45:38Z-
dc.date.available2011-09-23T06:45:38Z-
dc.date.issued2011en_HK
dc.identifier.citationThe 19th International Conference on GeoInformatics (Geoinformatics 2011), Shanghai, China, 24-26 June 2011. In Conference Proceedings, 2011, p. 1-6en_HK
dc.identifier.isbn978-1-61284-848-8-
dc.identifier.urihttp://hdl.handle.net/10722/141610-
dc.description.abstractAs road crashes are constrained to a one-dimensional space, this paper analyzes the spatial distribution of road crashes with a GIS-based network-constrained kernel density method. A dissolving procedure is introduced before road segmentation, which can significantly reduce the undesirable effects during the segmentation process. The result of the sensitivity analysis reflects that the bandwidth imposes great impacts on the spatial distribution of density estimates. Different bandwidths may be considered for different types of traffic crashes. In particular, vehicle-pedestrian crashes in downtown areas tend to be highly localized and a narrower bandwidth is more appropriate. Vehicle-vehicle crashes at the suburb and rural areas, however, tend to happen in a less concentrated manner along a continuous stretch of dangerous road segments; and a wider bandwidth is more powerful in identifying these hot zones. Based on our results, administrations can gain more information on hazardous road locations, conduct investigations and propose improvement measures. © 2011 IEEE.en_HK
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1002915-
dc.relation.ispartofProceedings of the International Conference on GeoInformatics, Geoinformatics 2011en_HK
dc.rightsProceedings of the International Conference on GeoInformatics. Copyright © IEEE.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2011 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectcrashesen_HK
dc.subjectGISen_HK
dc.subjectkernel densityen_HK
dc.subjectnetworken_HK
dc.subjecttraffficen_HK
dc.titleSpatial point analysis of road crashes in Shanghai: A GIS-based network kernel density methoden_HK
dc.typeConference_Paperen_HK
dc.identifier.emailLoo, BPY:bpyloo@hku.hken_HK
dc.identifier.authorityLoo, BPY=rp00608en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/GeoInformatics.2011.5980938en_HK
dc.identifier.scopuseid_2-s2.0-80052371700en_HK
dc.identifier.hkuros192532en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80052371700&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage1-
dc.identifier.epage6-
dc.description.otherThe 19th International Conference on GeoInformatics, Shanghai, China, 24-26 June 2011. In Proceedings of 19th GeoInformatics, 2011, p. 1-6-
dc.identifier.scopusauthoridLoo, BPY=7005145560en_HK
dc.identifier.scopusauthoridYao, S=37040114700en_HK
dc.identifier.scopusauthoridWu, J=35197667700en_HK
dc.customcontrol.immutablesml 160229 - amend-

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