2023
DOI: 10.1016/j.tre.2023.103312
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A spatio-functional logistics profile clustering analysis method for metropolitan areas

Andrés Regal,
Jesús Gonzalez-Feliu,
Michelle Rodriguez
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Cited by 10 publications
(2 citation statements)
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“…Jalal and others [ 11 ] proposed a multi-product, multi-period, multi-mode network design and distribution planning decision-making mathematical model that includes the flow of high-value goods, transportation modes, freight types, fleet size, and escort services, introducing a local branching mathematical method that leverages the hierarchical problem structure. Regal and colleagues [ 12 ] introduced a method to define zoning procedures based on socio-economic, spatial, and logistical intensity variables, aiding in urban characteristic description and comparison of their outcome profiles, thereby supporting ongoing work on urban features and urban logistics geography.…”
Section: Introductionmentioning
confidence: 99%
“…Jalal and others [ 11 ] proposed a multi-product, multi-period, multi-mode network design and distribution planning decision-making mathematical model that includes the flow of high-value goods, transportation modes, freight types, fleet size, and escort services, introducing a local branching mathematical method that leverages the hierarchical problem structure. Regal and colleagues [ 12 ] introduced a method to define zoning procedures based on socio-economic, spatial, and logistical intensity variables, aiding in urban characteristic description and comparison of their outcome profiles, thereby supporting ongoing work on urban features and urban logistics geography.…”
Section: Introductionmentioning
confidence: 99%
“…The prerequisite for evaluating the importance of risk factors is the establishment of a rational risk analysis method and a comprehensive evaluation index system. Currently, in road traffic safety risk assessment studies, scholars mainly use sensitivity analysis [20], hierarchical analysis [21], fuzzy analysis [22], influence diagram analysis [23], logistic regression analysis [24], and Monte Carlo simulation statistical probability methods [25] to select and analyze the importance of risk factors.…”
Section: Introductionmentioning
confidence: 99%