Potential crash risks of expressway on-ramps and off-ramps: A case study in Beijing, China

Qu, X; Yang, Y; Liu, Z; Jin, S; Weng, J

Potential crash risks of expressway on-ramps and off-ramps: A case study in Beijing, China

Qu, X

Yang, Y Liu, Z Jin, S Weng, J

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Publication Type:: Journal Article
Citation:: Safety Science, 2014, 70 pp. 58 - 62
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Qu, X https://orcid.org/0000-0003-0973-3756	en_US
dc.contributor.author	Yang, Y	en_US
dc.contributor.author	Liu, Z	en_US
dc.contributor.author	Jin, S	en_US
dc.contributor.author	Weng, J	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	Safety Science, 2014, 70 pp. 58 - 62	en_US
dc.identifier.issn	0925-7535	en_US
dc.identifier.uri	http://hdl.handle.net/10453/118690
dc.description.abstract	Objective: This paper aims to assess the potential crash risks across different traffic lanes (shoulder lane, median lane, and middle lane) near to ramps (before on-ramps, between ramps, and after off-ramps). Methods: Field data are collected at seven locations (90. min for each location) during peak hours. Two risk indices based on time to collision, individual risk and societal risk are proposed to represent the distinct interpretations of risks to transport agencies and individual motorists. One-way ANOVA is applied to analyze the risk impact of ramps in various types of locations across distinct traffic lanes. Results: Median lanes and sections after off-ramps have relatively lower risks compared to other lanes and sections. The individual and societal risks might not always be consistent since the two risk indices are proposed based on distinct perspectives: transport agencies focus on the crash/conflict frequencies in a road section and individual motorists concern more about the probability of being involved in a crash/conflict during their journey. Conclusions: The differences in risks mainly result from the frequent lane-changing and merging activities. This model could be used to evaluate the performance of expressway ramp design. © 2014 Elsevier Ltd.	en_US
dc.relation.ispartof	Safety Science	en_US
dc.relation.isbasedon	10.1016/j.ssci.2014.04.016	en_US
dc.subject.classification	Human Factors	en_US
dc.title	Potential crash risks of expressway on-ramps and off-ramps: A case study in Beijing, China	en_US
dc.type	Journal Article
utslib.citation.volume	70	en_US
utslib.for	090507 Transport Engineering	en_US
utslib.for	09 Engineering	en_US
utslib.for	11 Medical and Health Sciences	en_US
utslib.for	17 Psychology and Cognitive Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CBI - Centre for Built Infrastructure
pubs.organisational-group	/University of Technology Sydney/Strength - CRIN - Realtime Information Networks
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	70	en_US

Abstract:

Objective: This paper aims to assess the potential crash risks across different traffic lanes (shoulder lane, median lane, and middle lane) near to ramps (before on-ramps, between ramps, and after off-ramps). Methods: Field data are collected at seven locations (90. min for each location) during peak hours. Two risk indices based on time to collision, individual risk and societal risk are proposed to represent the distinct interpretations of risks to transport agencies and individual motorists. One-way ANOVA is applied to analyze the risk impact of ramps in various types of locations across distinct traffic lanes. Results: Median lanes and sections after off-ramps have relatively lower risks compared to other lanes and sections. The individual and societal risks might not always be consistent since the two risk indices are proposed based on distinct perspectives: transport agencies focus on the crash/conflict frequencies in a road section and individual motorists concern more about the probability of being involved in a crash/conflict during their journey. Conclusions: The differences in risks mainly result from the frequent lane-changing and merging activities. This model could be used to evaluate the performance of expressway ramp design. © 2014 Elsevier Ltd.

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http://hdl.handle.net/10453/118690