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

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.

How geographical factors and decision-makers' perceptions influence the prioritization of ecosystem services: Analysis in the Spanish rice field areas in RAMSAR Mediterranean wetlands.

Mediterranean wetlands provide many ecosystem services to humans and other organisms. However, these services are being increasingly damaged. The prioritization of ecosystem services is essential to start a decision-making process focused on environmental policies, highlighting the necessity of equilibrium between sustainability and human well-being. This study analyzes the similarities and differences among the ecosystem services provided by the Spanish RAMSAR Mediterranean wetlands, where rice production is the main economic activity. These areas are the Ebro Delta, the Albufera Natural Park and the Guadalquivir Marshes (Doñana Biosphere Reserve). Despite being different areas, environmental and agricultural policies sometimes treat their characteristics without distinction since they are conceptually englobed in the same category. This analysis aims to study whether geographical and sociocultural factors could influence the prioritization of ecosystem services. The prioritization of the three study areas was conducted using the Analytic Network Process (ANP), a multi-criteria decision-making method which allows decision-makers to manage the ecosystem's complexity. The results are helpful for future policies and in understanding the complex network of interconnections among ecosystem services. Additionally, results show that there are statistically significant differences in priorities among the three study areas due to geographical and cultural reasons. Moreover, results have also shown that decision-makers' judgements influenced the priorities depending on their background and personal or professional preferences. It emphasizes the necessity of implementing environmental policies from a theoretical and global scale to a participatory and local one, considering a broader range of stakeholders' perceptions to reflect the complexity of the ecosystem services network.

An Analytic Network Process approach for siting a municipal solid waste plant in the Metropolitan Area of Valencia (Spain).

In this paper the Analytic Network Process (ANP) is applied to select the best location for the construction of a municipal solid waste (MSW) plant in the Metropolitan area of Valencia (Spain). Selection of the appropriate MSW facility location can be viewed as a complex multicriteria decision-making problem that requires an extensive evaluation process of the potential MSW plant locations and other factors as diverse as economic, technical, legal, social or environmental issues. The decision-making process includes the identification of six candidate MSW plant sites and 21 criteria grouped into clusters for the construction of a network. Two technicians of the Metropolitan Waste Disposal Agency acted as decision makers (DMs). The influences between the elements of the network were identified and analyzed using the ANP multicriteria decision method. Two different ANP models were used: one hierarchy model (that considers AHP as a particular case of ANP) and another network-based model. The results obtained in each model were compared and analyzed. The strengths and weaknesses of ANP as a multicriteria decision analysis tool are also described in the paper. The main findings of this research have proved that ANP is a useful tool to help technicians to make their decision process traceable and reliable. Moreover, this approach helps DMs undertake a sound reflection of the siting problem.