Truck travel time performance measures and their association with on- and off-network characteristics

Trucks transport a significant amount of freight and are susceptible to traffic congestion related delays. Practitioners are interested in identifying suitable truck travel time performance measures and examining their association with on-network (road) and surrounding off-network (land use and demo...

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Autores principales:	Sarvani Duvvuri, Srinivas S. Pulugurtha
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Truck Travel time Reliability Land use Demographic Correlation Transportation and communications HE1-9990
Acceso en línea:	https://doaj.org/article/be09b67c4db24e099c54f31fdfb93cfe
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spelling	oai:doaj.org-article:be09b67c4db24e099c54f31fdfb93cfe2021-11-12T04:47:17ZTruck travel time performance measures and their association with on- and off-network characteristics2590-198210.1016/j.trip.2021.100500https://doaj.org/article/be09b67c4db24e099c54f31fdfb93cfe2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2590198221002050https://doaj.org/toc/2590-1982Trucks transport a significant amount of freight and are susceptible to traffic congestion related delays. Practitioners are interested in identifying suitable truck travel time performance measures and examining their association with on-network (road) and surrounding off-network (land use and demographic) characteristics for planning, designing, and building better transportation facilities. The focus of this research is on the investigation of truck travel time performance measures and their association with on-/off-network characteristics using Pearson correlation coefficient analysis. Truck travel time data for the year 2019 and on-network and off-network characteristics captured using geospatial methods were considered for 501 links in Mecklenburg County, Buncombe County, and Wake County in North Carolina, USA for this research. The average travel time (ATT), planning time index (PTI), buffer time index (BTI), and travel time index (TTI) were selected based on the correlations within the truck travel time performance measures. Road functional class, number of through lanes, area type, annual average daily traffic (AADT), and speed limit are significantly but lowly associated with the truck travel time performance measures. The agriculture, light commercial, and residential land uses in the near vicinity have a moderate to strong association with the truck travel time performance measures. The associations varied with the truck travel time performance measure, day of the week, time of the day, and buffer width to capture off-network characteristics. The methodology and findings assist in identifying potential corridors/areas for the implementation of truck exclusive lanes, truck signal priority at intersections, decentralized delivery locations, or other unconventional strategies.Sarvani DuvvuriSrinivas S. PulugurthaElsevierarticleTruckTravel timeReliabilityLand useDemographicCorrelationTransportation and communicationsHE1-9990ENTransportation Research Interdisciplinary Perspectives, Vol 12, Iss , Pp 100500- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Truck Travel time Reliability Land use Demographic Correlation Transportation and communications HE1-9990
spellingShingle	Truck Travel time Reliability Land use Demographic Correlation Transportation and communications HE1-9990 Sarvani Duvvuri Srinivas S. Pulugurtha Truck travel time performance measures and their association with on- and off-network characteristics
description	Trucks transport a significant amount of freight and are susceptible to traffic congestion related delays. Practitioners are interested in identifying suitable truck travel time performance measures and examining their association with on-network (road) and surrounding off-network (land use and demographic) characteristics for planning, designing, and building better transportation facilities. The focus of this research is on the investigation of truck travel time performance measures and their association with on-/off-network characteristics using Pearson correlation coefficient analysis. Truck travel time data for the year 2019 and on-network and off-network characteristics captured using geospatial methods were considered for 501 links in Mecklenburg County, Buncombe County, and Wake County in North Carolina, USA for this research. The average travel time (ATT), planning time index (PTI), buffer time index (BTI), and travel time index (TTI) were selected based on the correlations within the truck travel time performance measures. Road functional class, number of through lanes, area type, annual average daily traffic (AADT), and speed limit are significantly but lowly associated with the truck travel time performance measures. The agriculture, light commercial, and residential land uses in the near vicinity have a moderate to strong association with the truck travel time performance measures. The associations varied with the truck travel time performance measure, day of the week, time of the day, and buffer width to capture off-network characteristics. The methodology and findings assist in identifying potential corridors/areas for the implementation of truck exclusive lanes, truck signal priority at intersections, decentralized delivery locations, or other unconventional strategies.
format	article
author	Sarvani Duvvuri Srinivas S. Pulugurtha
author_facet	Sarvani Duvvuri Srinivas S. Pulugurtha
author_sort	Sarvani Duvvuri
title	Truck travel time performance measures and their association with on- and off-network characteristics
title_short	Truck travel time performance measures and their association with on- and off-network characteristics
title_full	Truck travel time performance measures and their association with on- and off-network characteristics
title_fullStr	Truck travel time performance measures and their association with on- and off-network characteristics
title_full_unstemmed	Truck travel time performance measures and their association with on- and off-network characteristics
title_sort	truck travel time performance measures and their association with on- and off-network characteristics
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/be09b67c4db24e099c54f31fdfb93cfe
work_keys_str_mv	AT sarvaniduvvuri trucktraveltimeperformancemeasuresandtheirassociationwithonandoffnetworkcharacteristics AT srinivasspulugurtha trucktraveltimeperformancemeasuresandtheirassociationwithonandoffnetworkcharacteristics
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Truck travel time performance measures and their association with on- and off-network characteristics

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