Sustainable selection of waste collection trucks considering feasible future scenarios by applying the stratified best and worst method

Solaz, Héctor Moreno; Artacho-Ramírez, Miguel-Ángel; Aragonés‐Beltrán, Pablo; Ballester, Victor Andres Cloquell

doi:10.1016/j.heliyon.2023.e15481

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Cited by 6 publications

References 85 publications

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The URGET VADEMECUM 2030–2050 Project: Applying Threshold Theory to Sustainable Urban Mobility

Acampa,

Pino,

Alberti

et al. 2024

Lecture Notes in Networks and Systems

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The URGET VADEMECUM 2030–2050 Project: Applying Threshold Theory to Sustainable Urban Mobility

Acampa,

Pino,

Alberti

et al. 2024

Lecture Notes in Networks and Systems

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Integrating stratified best–worst method and GIS for landslide susceptibility assessment: a case study in Erzurum province (Turkey)

Konurhan,

Yucesan,

Gul

2023

Environ Sci Pollut Res

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Landslides are among the most destructive geological disasters that seriously damage human life and infrastructures. Landslides mostly occur in mountainous regions around the world. One of the key processes to reduce these damages is to uncover landslide-exposed areas through different data-driven methods such as Geographical Information System (GIS) and Multi-Criteria Decision-Making (MCDM). In the literature, there are many studies developed with these fundamental tools. In this study, unlike the literature, a new landslide susceptibility assessment model is proposed by integrating GIS with the stratified best-worst method (S-BWM). This model has four main dimensions and 16 sub-dimensions under topography, environment-land, location and hydrological factors, which are weighted with the S-BWM. Considering the different states that may arise in the importance weights of these dimensions in the future, a network was created. The transition probabilities of these states were predicted and injected into the classical BWM. Then maps were created for these dimensions and classifications were made for each subdimension according to the map characteristics. Finally, the most susceptive landslide locations were determined with GIS-based calculations. To demonstrate the model's applicability, a case study was conducted for the Erzurum region, one of Turkey's landslide-prone regions. In addition, besides the landslide map, an analysis and discussion about the spatial distribution of susceptibility classes was presented, contributing to the study's robustness.

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Selecting the ideal sustainable green strategy for logistics companies using a T-spherical fuzzy-based methodology

Aytekin,

Korucuk,

Bedirhanoğlu

et al. 2024

Engineering Applications of Artificial Intelligence

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Sustainable selection of waste collection trucks considering feasible future scenarios by applying the stratified best and worst method

Cited by 6 publications

References 85 publications

The URGET VADEMECUM 2030–2050 Project: Applying Threshold Theory to Sustainable Urban Mobility

The URGET VADEMECUM 2030–2050 Project: Applying Threshold Theory to Sustainable Urban Mobility

Integrating stratified best–worst method and GIS for landslide susceptibility assessment: a case study in Erzurum province (Turkey)

Selecting the ideal sustainable green strategy for logistics companies using a T-spherical fuzzy-based methodology

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