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Article: Pedestrian exposure measures: A time-space framework

TitlePedestrian exposure measures: A time-space framework
Authors
Issue Date2014
PublisherElsevier BV.
Citation
Travel Behaviour and Society, 2014, v. 1 n. 1, p. 22-30 How to Cite?
AbstractModeling pedestrian-vehicle crashes is a spatially complex and temporally dynamic process. Examining the probability of and degree to which pedestrians are exposed to pedestrian-vehicle crash risk has important implications for formulating effective road safety measures. Pedestrian exposure can be a useful explanatory variable for modeling crashes but this piece of information is often difficult and costly to collect. The study attempts to take advantage of time geography and travel activity data to propose a new pedestrian exposure metric. Making use of the concept of potential path tree (PPT), this paper developed an individual-based and network constrained pedestrian exposure measure. Using negative binomial regressions to examine crash frequency with exposure, roadway and environmental variables, the proposed metric is compared with other existing pedestrian exposure methods to examine its applicability and potential in road safety analysis.
Persistent Identifierhttp://hdl.handle.net/10722/193927
ISSN
2015 SCImago Journal Rankings: 0.952

 

DC FieldValueLanguage
dc.contributor.authorLam, WYWen_US
dc.contributor.authorYao, Sen_US
dc.contributor.authorLoo, BPYen_US
dc.date.accessioned2014-01-28T06:34:11Z-
dc.date.available2014-01-28T06:34:11Z-
dc.date.issued2014en_US
dc.identifier.citationTravel Behaviour and Society, 2014, v. 1 n. 1, p. 22-30en_US
dc.identifier.issn2214-367X-
dc.identifier.urihttp://hdl.handle.net/10722/193927-
dc.description.abstractModeling pedestrian-vehicle crashes is a spatially complex and temporally dynamic process. Examining the probability of and degree to which pedestrians are exposed to pedestrian-vehicle crash risk has important implications for formulating effective road safety measures. Pedestrian exposure can be a useful explanatory variable for modeling crashes but this piece of information is often difficult and costly to collect. The study attempts to take advantage of time geography and travel activity data to propose a new pedestrian exposure metric. Making use of the concept of potential path tree (PPT), this paper developed an individual-based and network constrained pedestrian exposure measure. Using negative binomial regressions to examine crash frequency with exposure, roadway and environmental variables, the proposed metric is compared with other existing pedestrian exposure methods to examine its applicability and potential in road safety analysis.en_US
dc.languageengen_US
dc.publisherElsevier BV.en_US
dc.relation.ispartofTravel Behaviour and Societyen_US
dc.titlePedestrian exposure measures: A time-space frameworken_US
dc.typeArticleen_US
dc.identifier.emailLam, WYW: lamwwy@hku.hken_US
dc.identifier.emailYao, S: adayao@hku.hken_US
dc.identifier.emailLoo, BPY: bpyloo@hku.hken_US
dc.identifier.authorityLoo, BPY=rp00608en_US
dc.identifier.doi10.1016/j.tbs.2013.10.004en_US
dc.identifier.hkuros227461en_US
dc.identifier.volume1en_US
dc.identifier.issue1-
dc.identifier.spage22en_US
dc.identifier.epage30en_US
dc.publisher.placeNetherlands-

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