| Autor: |
Arielle Elias Arantes, Bruno Athayde Prata |
| Jazyk: |
English<br />Spanish; Castilian<br />Portuguese |
| Rok vydání: |
2024 |
| Předmět: |
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| Zdroj: |
Transportes, Vol 32, Iss 3 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2237-1346 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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