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Article: Identification method of road hot zone based on GIS

TitleIdentification method of road hot zone based on GIS
Authors
KeywordsGeographical Information System
Hazardous Road Location
Hot Zone
Road Crash
Traffic Safety
Issue Date2011
Citation
Jiaotong Yunshu Gongcheng Xuebao/Journal Of Traffic And Transportation Engineering, 2011, v. 11 n. 4, p. 97-102 How to Cite?
AbstractBased on GIS and the basic model of hot zone, the identification method of road hot zone was studied. Road networks were merged by following a priority sequence, and the basic spatial units(BSU) of road were obtained. The spatial distribution of traffic accidents was simulated, and the threshold value of traffic accident for each BSU was defined by using Monte Carlo method. The spatial contiguities of BSUs were examined to obtain hot zones, and the hot zones around Shanghai Expo Venue were identified. Analysis result shows that the share of irregular BSUs decreases from 41.5% to 14.8% after merging road networks. There are 84 hot zones involving only vehicles and 33 hot zones involving pedestrians, which accords with the real situation. So the method can effectively identify road hazardous locations. 5 tabs, 6 figs, 14 refs.
Persistent Identifierhttp://hdl.handle.net/10722/157923
ISSN
2015 SCImago Journal Rankings: 0.339
References

 

DC FieldValueLanguage
dc.contributor.authorLoo, BPYen_US
dc.contributor.authorYao, SJen_US
dc.contributor.authorWu, JPen_US
dc.contributor.authorYu, BLen_US
dc.contributor.authorZhong, HDen_US
dc.date.accessioned2012-08-08T08:56:19Z-
dc.date.available2012-08-08T08:56:19Z-
dc.date.issued2011en_US
dc.identifier.citationJiaotong Yunshu Gongcheng Xuebao/Journal Of Traffic And Transportation Engineering, 2011, v. 11 n. 4, p. 97-102en_US
dc.identifier.issn1671-1637en_US
dc.identifier.urihttp://hdl.handle.net/10722/157923-
dc.description.abstractBased on GIS and the basic model of hot zone, the identification method of road hot zone was studied. Road networks were merged by following a priority sequence, and the basic spatial units(BSU) of road were obtained. The spatial distribution of traffic accidents was simulated, and the threshold value of traffic accident for each BSU was defined by using Monte Carlo method. The spatial contiguities of BSUs were examined to obtain hot zones, and the hot zones around Shanghai Expo Venue were identified. Analysis result shows that the share of irregular BSUs decreases from 41.5% to 14.8% after merging road networks. There are 84 hot zones involving only vehicles and 33 hot zones involving pedestrians, which accords with the real situation. So the method can effectively identify road hazardous locations. 5 tabs, 6 figs, 14 refs.en_US
dc.languageengen_US
dc.relation.ispartofJiaotong Yunshu Gongcheng Xuebao/Journal of Traffic and Transportation Engineeringen_US
dc.subjectGeographical Information Systemen_US
dc.subjectHazardous Road Locationen_US
dc.subjectHot Zoneen_US
dc.subjectRoad Crashen_US
dc.subjectTraffic Safetyen_US
dc.titleIdentification method of road hot zone based on GISen_US
dc.typeArticleen_US
dc.identifier.emailLoo, BPY:bpyloo@hku.hken_US
dc.identifier.authorityLoo, BPY=rp00608en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-80052658290en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-80052658290&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume11en_US
dc.identifier.issue4en_US
dc.identifier.spage97en_US
dc.identifier.epage102en_US
dc.identifier.scopusauthoridLoo, BPY=7005145560en_US
dc.identifier.scopusauthoridYao, SJ=37040114700en_US
dc.identifier.scopusauthoridWu, JP=36072820700en_US
dc.identifier.scopusauthoridYu, BL=15840948500en_US
dc.identifier.scopusauthoridZhong, HD=36457307200en_US

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