PMID- 37128307
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20230503
IS  - 2405-8440 (Print)
IS  - 2405-8440 (Electronic)
IS  - 2405-8440 (Linking)
VI  - 9
IP  - 4
DP  - 2023 Apr
TI  - Sustainable selection of waste collection trucks considering feasible future 
      scenarios by applying the stratified best and worst method.
PG  - e15481
LID - 10.1016/j.heliyon.2023.e15481 [doi]
LID - e15481
AB  - Municipal solid waste (MSW) management is vital in achieving sustainable 
      development goals. It is a complex activity embracing collection, transport, 
      recycling, and disposal; and whose management depends on proper strategic 
      decision-making. The use of decision support methods such as multi-criteria 
      decision-making (MCDM) is widespread in MSW management. However, their 
      application mainly focuses on selecting plant locations and the best technologies 
      for waste treatment. Despite the critical role played by transport in promoting 
      sustainability, MCDM has seldom been applied for the selection of sustainable 
      transport alternatives in the field of MSW management. There are a few MCDM 
      studies about choosing waste collection vehicles, but none that include the most 
      recent green vehicles among the options or consider feasible future scenarios. In 
      this article, different engine technologies for collection trucks (diesel, 
      compressed natural gas (CNG), hybrid CNG-electric, electric, and hydrogen) are 
      evaluated under sustainability criteria in a Spanish city by applying the 
      stratified best and worst method (SBWM). This method enables considering the 
      uncertainty associated with future events to establish various feasible 
      scenarios. The results show that the best-valued options are electric and diesel 
      trucks, in that order, followed by CNG and hybrid CNG-electric, and with 
      hydrogen-powered trucks coming last. The SBWM has proven helpful in defining a 
      comprehensive framework for selecting the most suitable engine technology to 
      support long-term MSW collection. Considering sustainability among the criteria 
      and feasible future scenarios in waste management collection decision-making 
      provides more comprehensive and conclusive results that help managers and 
      policymakers make better informed and more reliable decisions.
CI  - (c) 2023 The Authors.
FAU - Moreno-Solaz, Hector
AU  - Moreno-Solaz H
AD  - Project Management, Innovation and Sustainability Research Center (PRINS), 
      Universitat Politecnica de Valencia, 46022 Valencia, Spain.
FAU - Artacho-Ramirez, Miguel-Angel
AU  - Artacho-Ramirez MA
AD  - Project Management, Innovation and Sustainability Research Center (PRINS), 
      Universitat Politecnica de Valencia, 46022 Valencia, Spain.
FAU - Aragones-Beltran, Pablo
AU  - Aragones-Beltran P
AD  - Project Management, Innovation and Sustainability Research Center (PRINS), 
      Universitat Politecnica de Valencia, 46022 Valencia, Spain.
FAU - Cloquell-Ballester, Victor-Andres
AU  - Cloquell-Ballester VA
AD  - Project Management, Innovation and Sustainability Research Center (PRINS), 
      Universitat Politecnica de Valencia, 46022 Valencia, Spain.
LA  - eng
PT  - Journal Article
DEP - 20230414
PL  - England
TA  - Heliyon
JT  - Heliyon
JID - 101672560
PMC - PMC10148105
OTO - NOTNLM
OT  - MCDM
OT  - Municipal solid waste
OT  - Stratification
OT  - Stratified best and worst method
OT  - Sustainable mobility
OT  - Waste collection trucks
EDAT- 2023/05/02 06:42
MHDA- 2023/05/02 06:43
PMCR- 2023/04/14
CRDT- 2023/05/02 01:56
PHST- 2022/12/29 00:00 [received]
PHST- 2023/03/08 00:00 [revised]
PHST- 2023/04/11 00:00 [accepted]
PHST- 2023/05/02 06:43 [medline]
PHST- 2023/05/02 06:42 [pubmed]
PHST- 2023/05/02 01:56 [entrez]
PHST- 2023/04/14 00:00 [pmc-release]
AID - S2405-8440(23)02688-9 [pii]
AID - e15481 [pii]
AID - 10.1016/j.heliyon.2023.e15481 [doi]
PST - epublish
SO  - Heliyon. 2023 Apr 14;9(4):e15481. doi: 10.1016/j.heliyon.2023.e15481. eCollection 
      2023 Apr.