The Colombian Strategic Freight Transport Model Based on Product Analysis

Cantillo, Víctor; Jaller, Miguel; Holguín‐Veras, José

doi:10.7307/ptt.v26i6.1460

Cited by 10 publications

(6 citation statements)

References 23 publications

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“…The parameters of BPR functions proposed by Márquez and Cantillo [51] and Cantillo et al [52] for rural roads in Colombia were used. According to these references, the calibration parameters of the BPR function are α = 0.2 and β = 3.0 for two-lane highways in flat terrain.…”

Section: A2 Parameters Of Bureau Of Public Roads (Bpr) Functionsmentioning

confidence: 99%

A road pricing model involving social costs and infrastructure financing policies

Lizana

Cantillo

López-Ospina

2022

Applied Mathematical Modelling

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Section: A2 Parameters Of Bureau Of Public Roads (Bpr) Functionsmentioning

confidence: 99%

A road pricing model involving social costs and infrastructure financing policies

Lizana

Cantillo

López-Ospina

2022

Applied Mathematical Modelling

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“…Existing studies of urban freight transport modeling have used different analysis units to study this transport. Some have been based on census units (Sánchez-Díaz et al, 2016); municipalities (Cantillo et al, Veras, 2014); regular grids (Du-cret et al, 2016;Alho & Silva, 2014); zones of influence or buffers (Kawamura & Miodonski, 2012); homogeneous industrial sectors (Sahu & Pani, 2020); commercial sectors (Sánchez-Díaz, 2017), and services sectors (Sánchez-Díaz, 2018).…”

Section: Maup In Urban Freight Transport Studiesmentioning

confidence: 99%

The modifiable areal unit problem in the analysis of the demand for urban freight transport

Plata¹,

Reyes²

2022

rcarto

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This document diagnoses the effects of the Modifiable Areal Unit Problem (MAUP) in the study of the demand for urban freight transport, by means of a comparison of different analysis scales to determine the relevance of working with different levels of detail. It is recommended to analyze the number of retail businesses, because they are the ones that mainly attract urban freight transport, and other variables of a socio-territorial type, considering three different spatial units: basic geostatistical area, electoral section, and regular 500-by-500-meter grids. For each scale, descriptive statistics parameters, correlation between variables, as well as global and local spatial autocorrelation (Moran-LISA’s I) were obtained to determine the impact of the MAUP. The results obtained show that the electoral sections do not result in an adequate scale, unless it is used as a complementary scale, since the statistical results indicate a greater variation. However, its cartographic representation allows seeing spatial groupings that are not observed in the other scales, which can be a valuable contribution. In the case of the Basic Geostatistical Area (BGA) scale and the 500-by-500-meter grids, data show less dispersion. The variables analyzed show a greater correlation and present a greater global spatial autocorrelation, which is why it is determined that they may be the most appropriate scales to model the transport of merchandise in the study area. The site that had no discrepancy, regardless of the scale of analysis, was the historic downtown of the city of Toluca, so it can be considered a priority site based on its demand for merchandise and territorial characteristics, where regulation and transport control alternatives can be incorporated, as well as the creation of infrastructure to make deliv-eries more efficient and to mitigate its negative impacts.

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“…The served zones depicted in blue, group nearby municipalities and are served by the same vehicles. The network configuration used in the real-world case application was based on the strategic freight transportation model proposed by Cantillo et al (2014).…”

Section: A Real Case Studymentioning

confidence: 99%

Optimisation approach to solve the truck loading and delivery problem at long haul distances with heterogeneous products and fleet

Cantillo

Miranda

2021

IJOR

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This paper proposes a sequential optimisation approach for addressing a complex real world problem of dispatch planning and freight loading for a set of highly irregular products with a heterogeneous fleet of trucks. The approach focuses on the case of goods with 'low-density values', highly varied with large travel distances. The proposed approach is based on a two-phase strategy: the first optimises the space assignment process inside trucks to each type of product. It is achieved by minimising long-haul transportation costs as a function of the fleet size and capacity, considering a set of predefined feasible and efficient loading solutions or patterns. The second phase minimises the number of visits per truck, assuming a fleet with fixed size and capacities for each type of product, which is determined in the first stage. The approach was successfully applied to a rolled steel company in Colombia, whose results show that the proposed model efficiently addresses the analysed problem, which is reflected in reasonable solution times and costs from a practical implementation perspective.

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The Colombian Strategic Freight Transport Model Based on Product Analysis

Abstract: ABSTRACT

Cited by 10 publications

References 23 publications

A road pricing model involving social costs and infrastructure financing policies

A road pricing model involving social costs and infrastructure financing policies

The modifiable areal unit problem in the analysis of the demand for urban freight transport

Optimisation approach to solve the truck loading and delivery problem at long haul distances with heterogeneous products and fleet

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