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Estimating the impact of incidents on urban controlled-access highways: an empirical analysis

Show simple item record Grange, Louis de Troncoso, Rodrigo Odeh, Nicolás González, Felipe 2017-01-24T18:57:53Z 2017-01-24T18:57:53Z 2017
dc.identifier.citation Applied Economics, vol.49, Issue 18, 2017, p. 1763-1773 es_CL
dc.identifier.uri es_CL
dc.description.abstract An empirical analysis is developed that quantifies the impact of different types of traffic incidents on the speed and maximum flow averages of vehicles on a controlled-access highway. The incident types considered include damage to highway infrastructure, vehicle rollover, crashes (into stationary objects), collisions (with moving vehicles), rain, fog, vehicle breakdowns, pedestrians on roadway, etc. Using real-world data from Chile’s most heavily used urban motorway/freeway, estimates of incident impacts on speed are generated using a multiple linear regression model incorporating instrumental variables to correct for endogeneity. Flow results are then generated using the fundamental traffic equation relating speed, flow and density. A ranking of the impacts on highway traffic of the different incident types based on incident frequency as well as impact size demonstrates that for the real case studied, the incidents with the greatest cumulative effect are (in order of magnitude) vehicle breakdown, collisions and rain. es_CL
dc.language.iso en_US es_CL
dc.subject Traffic incidents es_CL
dc.subject Density es_CL
dc.subject Speed es_CL
dc.subject Maximum flow es_CL
dc.subject Highway capacity es_CL
dc.subject Accidents es_CL
dc.subject Vehicle breakdown es_CL
dc.subject Collision es_CL
dc.subject Rain es_CL
dc.subject Instrumental variables es_CL
dc.subject Endogeneity es_CL
dc.title Estimating the impact of incidents on urban controlled-access highways: an empirical analysis es_CL
dc.type Artículo es_CL

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