HEAL DSpace

Hazard-based analysis of travel distance in urban environments: Longitudinal data approach

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dc.contributor.author Anastasopoulos, PC en
dc.contributor.author Islam, MB en
dc.contributor.author Perperidou, D en
dc.contributor.author Karlaftis, MG en
dc.date.accessioned 2014-03-01T02:09:17Z
dc.date.available 2014-03-01T02:09:17Z
dc.date.issued 2012 en
dc.identifier.issn 07339488 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/29793
dc.subject Origin destination patterns en
dc.subject Spatial hazard modeling en
dc.subject Survival analysis en
dc.subject Travel distance en
dc.subject.other Activity participation en
dc.subject.other Activity-based en
dc.subject.other Athens , Greece en
dc.subject.other Hazard models en
dc.subject.other Longitudinal data en
dc.subject.other Methodological approach en
dc.subject.other Mode choice en
dc.subject.other Modeling method en
dc.subject.other Origin-destination patterns en
dc.subject.other Socio-economics en
dc.subject.other Spatial hazard modeling en
dc.subject.other Survival analysis en
dc.subject.other Time of day en
dc.subject.other Transportation researchers en
dc.subject.other Travel behaviors en
dc.subject.other Travel distance en
dc.subject.other Trip distances en
dc.subject.other Urban areas en
dc.subject.other Urban environments en
dc.subject.other Weibull models en
dc.subject.other Hazards en
dc.subject.other Research en
dc.subject.other Transportation en
dc.subject.other Factor analysis en
dc.subject.other demography en
dc.subject.other hazard assessment en
dc.subject.other numerical model en
dc.subject.other socioeconomic impact en
dc.subject.other spatial analysis en
dc.subject.other spatial data en
dc.subject.other survival en
dc.subject.other temporal analysis en
dc.subject.other travel behavior en
dc.subject.other urban area en
dc.subject.other urban transport en
dc.subject.other Weibull theory en
dc.subject.other Athens [Attica] en
dc.subject.other Attica en
dc.subject.other Greece en
dc.title Hazard-based analysis of travel distance in urban environments: Longitudinal data approach en
heal.type journalArticle en
heal.identifier.primary 10.1061/(ASCE)UP.1943-5444.0000102 en
heal.identifier.secondary http://dx.doi.org/10.1061/(ASCE)UP.1943-5444.0000102 en
heal.publicationDate 2012 en
heal.abstract This paper focuses on identifying important factors that determine activity-based travel distance in urban areas. Building on past research that has demonstrated the conceptual equivalence of hazard models applied to either temporal or spatial settings, the length of the distance from origin to destination is statistically modeled as longitudinal data using hazard-based modeling methods with data from Athens, Greece. Based on the data analysis, the Weibull model with gamma heterogeneity provides the best statistical fit, and a number of factors significantly affect travel distance, including socioeconomics and demographics, trip characteristics, mode choice, trip frequency, time of day for the trip, and type of activity participation. The proposed methodological approach and the research findings help to better understand travel behavior in terms of trip distance in the urban areas, an issue of significant importance for both transportation researchers and planners. © 2012 American Society of Civil Engineers. en
heal.journalName Journal of Urban Planning and Development en
dc.identifier.doi 10.1061/(ASCE)UP.1943-5444.0000102 en
dc.identifier.volume 138 en
dc.identifier.issue 1 en
dc.identifier.spage 53 en
dc.identifier.epage 61 en


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