Modeling commercial vehicle empty trips with a first order trip chain model

Holguín‐Veras, José; Thorson, Ellen

doi:10.1016/s0191-2615(01)00048-0

Cited by 103 publications

(38 citation statements)

References 4 publications

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“…As shown, in terms of daily trips, 17,550 commercial vehicles enter, leave, or pass through the metropolitan area, and 22% of the total trips are empty. This proportion of empty trips is a typical pattern in Colombia and other countries [6][7][8][9]. Moreover, in terms of freight trips, the results show that only 10% of daily trips are external trips, the remaining 90% are internal.…”

Section: Cordon Surveysmentioning

confidence: 77%

Characterization and analysis of metropolitan freight patterns in Medellin, Colombia

González‐Calderón

Sánchez-Díaz

Sarmiento-Ordosgoitía

et al. 2018

Eur. Transp. Res. Rev.

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Purpose: This paper seeks to pilot test a novel way to collect freight and service activity data and analyze the collected data in the metropolitan area of Medellin, Colombia. Methods: This research collects data using a multi-layer and multi-actor approach that includes surveys to receivers, suppliers, carriers, and truck drivers. The data are used by the authors to describe the overall freight patterns in the area of study and to show lessons learned. Results: The data collection resulted in 2947 establishments (4.4% of the total establishments in the city), a cordon survey of 2950 commercial vehicles (17% of the total vehicle volume) accessing the urban area, and carrier interviews to ten companies and 130 truck drivers. The results indicate that a total of 33,274 metric tons/day enter the study area, 35,240 tons/day leave the area; while 7000 tons/day are distributed in the study area. In terms of freight trips, 6600 trips/day enter the study zone and 6600 trips/day leave it. Conclusions: The data collection effort enabled the analyses of freight generation patterns. The freight surveys used in the study complement each other, and provided a good depiction of the freight movements in urban areas. It was found that in the Medellin Metropolitan Area, freight-intensive sector establishments generates, on average, significantly more cargo (freight attraction plus production) than the service-intensive sectors. The analyses of the surveys allow the decision makers to understand the nature of the cargo and the generation patterns in different type of establishments. This characterization of the freight patterns is vital for the forecasting of the behavior of the cargo and it is the main input to perform freight demand modeling for city planning, especially for developing countries, where there are too many budget constraints.

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Section: Cordon Surveysmentioning

confidence: 77%

Characterization and analysis of metropolitan freight patterns in Medellin, Colombia

González‐Calderón

Sánchez-Díaz

Sarmiento-Ordosgoitía

et al. 2018

Eur. Transp. Res. Rev.

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show abstract

“…De ahí se deriva un interés por conocer los factores que determinan la eficiencia en la gestión de las flotas propias, por ejemplo, la tasa de utilización de las unidades (porcentaje de recorrido con carga contra recorrido en vacío), los niveles de eficiencia de carga útil por kiló-metro recorrido, los componentes de los ciclos de cargadura, los costos de operación, los tiempos y distancias promedio de entrega, y el tipo de ruta de reparto que siguen los camiones, entre otros (Holguín-Veras y Thorson, 2003;Holguín-Veras, 2003). Todas esas interrogantes deben plantearse en otras etapas, pues se requiere de un enfoque logístico complementario al utilizado en la presente investigación.…”

Section: Observaciones Y Resultados De La Etapaunclassified

Una aproximación metodológica al estudio integrado del transporte urbano de carga: el caso de la Zona Metropolitana de Querétaro en México

Betanzo-Quezada

2011

EURE (Santiago)

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“…To overcome these limitations, additional models that represent empty trips as a function of the choice routes for commercial vehicles could be developed. Models of this type found in the literature include [9] and [24,26], and are based on the following notation: mij = Commodity flow from origin i to destination j; aij = Average payload (ton/trip) for loaded trips between i and j; x m a Additionally, a practical approach was proposed by [27]. They assume that the number of empty trips between i and j is a function of the commodity flows in the opposite direction, j to i, multiplied by a constant p0 -empirically estimated.…”

Section: Empty Trips Estimationmentioning

confidence: 99%

“…As discussed earlier, there are limitations when estimating freight trip flows from commodity flows, as the latter do not specify the type of commercial vehicles used in freight transport [9,[24][25][26]. For instance, there are small (2 axles), medium (3-4 axles) and large (5-6 axles) trucks.…”

Section: Estimation Of Traffic Flows and Empty Tripsmentioning

confidence: 99%

“…Trip-based models focus on vehicles as the modelling unit, and in general, consist of trip generation/attraction, trip distribution and traffic assignment. In addition, recent research has shown the importance of modelling empty trips, which can account for 30% to 40% of the total truck traffic [8,9]. One advantage of trip-based models is their ability to use data from traffic volumes, which are easily collected at low cost -a good alternative when there are resource and budget constraints.…”

Section: Introductionmentioning

confidence: 99%

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