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Conference Paper: Negative Binomial Regression Model for Road Accident Analysis in Hong Kong
Title | Negative Binomial Regression Model for Road Accident Analysis in Hong Kong |
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Authors | |
Issue Date | 2010 |
Publisher | Transportation Research Board (TRB). |
Citation | The 89th Annual Meeting of Transportation Research Board (TRB), Washington, D.C. USA, 10-14 January 2010, p. abstract no. 10-1968 How to Cite? |
Abstract | This study evaluates the influence of traffic volume on accident frequency and investigates other possible factors that contribute to accident risk, using vehicle kilometers (VKM) as a proxy of exposure. Information on traffic volume and road design factors was obtained from the Hong Kong Annual Traffic Census (ATC), and accident data were extracted from the Hong Kong Accident Database System (TRADS) respectively. These data were incorporated into a road network map of Hong Kong using the Geographical Information System (GIS). Count data models were employed to the analysis of accident frequency. As the data are subject to over-dispersion, a negative binomial regression method was deployed to measure the association between accident frequency and traffic volume and to control for the effects of factors such as temporal variation and road environment. The results indicate that greater traffic volume leads to a less than proportionate increase (a coefficient estimate of 0.62) in accident frequency and thus a decrease of accident risk. The interaction effects by traffic volume and other possible factors on accident occurrence are also revealed. |
Description | Session 567: Road Safety Evaluation Fulltext of the abstract in: http://pressamp.trb.org/conferenceinteractiveprogram/PresentationDetails.aspx?ID=33988&Email= |
Persistent Identifier | http://hdl.handle.net/10722/111612 |
DC Field | Value | Language |
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dc.contributor.author | Pei, X | en_HK |
dc.contributor.author | Wong, SC | en_HK |
dc.contributor.author | Sze, NN | en_HK |
dc.date.accessioned | 2010-09-26T02:56:27Z | - |
dc.date.available | 2010-09-26T02:56:27Z | - |
dc.date.issued | 2010 | en_HK |
dc.identifier.citation | The 89th Annual Meeting of Transportation Research Board (TRB), Washington, D.C. USA, 10-14 January 2010, p. abstract no. 10-1968 | - |
dc.identifier.uri | http://hdl.handle.net/10722/111612 | - |
dc.description | Session 567: Road Safety Evaluation | - |
dc.description | Fulltext of the abstract in: http://pressamp.trb.org/conferenceinteractiveprogram/PresentationDetails.aspx?ID=33988&Email= | - |
dc.description.abstract | This study evaluates the influence of traffic volume on accident frequency and investigates other possible factors that contribute to accident risk, using vehicle kilometers (VKM) as a proxy of exposure. Information on traffic volume and road design factors was obtained from the Hong Kong Annual Traffic Census (ATC), and accident data were extracted from the Hong Kong Accident Database System (TRADS) respectively. These data were incorporated into a road network map of Hong Kong using the Geographical Information System (GIS). Count data models were employed to the analysis of accident frequency. As the data are subject to over-dispersion, a negative binomial regression method was deployed to measure the association between accident frequency and traffic volume and to control for the effects of factors such as temporal variation and road environment. The results indicate that greater traffic volume leads to a less than proportionate increase (a coefficient estimate of 0.62) in accident frequency and thus a decrease of accident risk. The interaction effects by traffic volume and other possible factors on accident occurrence are also revealed. | - |
dc.language | eng | en_HK |
dc.publisher | Transportation Research Board (TRB). | - |
dc.relation.ispartof | Annual Meeting of Transportation Research Board | en_HK |
dc.title | Negative Binomial Regression Model for Road Accident Analysis in Hong Kong | en_HK |
dc.type | Conference_Paper | en_HK |
dc.identifier.email | Wong, SC: hhecwsc@hkucc.hku.hk | en_HK |
dc.identifier.email | Sze, NN: nnsze@graduate.hku.hk | en_HK |
dc.identifier.authority | Wong, SC=rp00191 | en_HK |
dc.identifier.hkuros | 169074 | en_HK |
dc.identifier.spage | abstract no. 567 | - |
dc.identifier.epage | abstract no. 567 | - |
dc.publisher.place | United States | - |