Development of a spatial multicriteria approach to determine the location of loading/unloading spaces in urban centers

This paper proposes an innovative solution approach that combines mathematical programming, multicriteria decision analysis, and a geographic information system (GIS) to determine the optimal number of loading/unloading spaces in urban centers. The proposed methodology was implemented in a case study in the urban center of Fortaleza, a municipality in the Northeast region of Brazil. Employing the hybrid method for selecting optimal loading/ unloading spaces resulted in a 10% increase in the percentage of served clients compared to using solely the mathematical model. On the contrary, as the registered spaces were not determined using a scientific approach, clients located outside the Centro neighborhood experienced notably low service levels, with walking distances exceeding 450 meters.

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Publication Details

Journal
Transportes
Published
2024-09-27
DOI
https://doi.org/10.58922/transportes.v32i3.2970
Citations
1
Primary Topic
Urban and Freight Transport Logistics
Type
article
Field-Weighted Citation Impact
0.27
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article

Development of a spatial multicriteria approach to determine the location of loading/unloading spaces in urban centers

Arielle Elias Arantes, Bruno de Athayde Prata
1 citations
Transportes
Urban and Freight Transport Logistics
0.27
article

Development of a spatial multicriteria approach to determine the location of loading/unloading spaces in urban centers

Arielle Elias Arantes, Bruno de Athayde Prata
article en
1 citations

Abstract

This paper proposes an innovative solution approach that combines mathematical programming, multicriteria decision analysis, and a geographic information system (GIS) to determine the optimal number of loading/unloading spaces in urban centers. The proposed methodology was implemented in a case study in the urban center of Fortaleza, a municipality in the Northeast region of Brazil. Employing the hybrid method for selecting optimal loading/ unloading spaces resulted in a 10% increase in the percentage of served clients compared to using solely the mathematical model. On the contrary, as the registered spaces were not determined using a scientific approach, clients located outside the Centro neighborhood experienced notably low service levels, with walking distances exceeding 450 meters.

TransportesVol. 32(3)
Universidade Federal do Ceará (BR)
Openalex Percentile: Top 43%
Urban and Freight Transport Logistics
0.27
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