Life cycle tools combined with multi-criteria and participatory methods for agricultural sustainability: Insights from a systematic and critical review.

Atmospheric emissions of anthropogenic origin are one of the most important problems in cities. A particularly discrete ecological footprint in urban environment is made by urban freight transport. This problem has become the key challenge for all stakeholder groups involved in freight transport in urban areas. Over the recent years, there has been a growing interest in using alternative fuel vehicles in urban logistics, including those equipped with electric drive systems. This paper presents a multi-criteria analysis (MCA) of selected electric vehicles (EVs) in the context of their application for the purposes of deliveries in cities. In methodological terms, we present a unique MCA-based approach for evaluation of Electric Freight Vehicles (EFVs). A successful attempt is made to build a multistep MCA procedure based on two carefully selected MCDA methods (PROMETHEE II and fuzzy TOPSIS) to handle both certain and uncertain data sets in a single decision process. In practical terms, we successfully demonstrate the usefulness of the proposed approach by creating a set of decision maker’s preference models (based on certain and uncertain data) of carefully selected EFVs and provide sensitivity and robustness analyses of the obtained solutions.

https://www.mdpi.com/2071-1050/9/8/1453/pdf

Multi-Criteria Analysis of Electric Vans for City Logistics

A dynamic perspective on the key drivers of innovation-led lean approaches to achieve sustainability in manufacturing supply chain

Planning, construction and operation of transport infrastructure are associated with a multitude of adverse effects on the environment. The Strategic Environmental Assessment (SEA) and Environmental Impact Assessment (EIA) are important legal instruments of the European Union's environmental policy that allows for identifying, predicting, preventing, and mitigating and or compensating for these adverse effects. As part of the environmental impact assessment, variants of planned activities and investment projects are considered in order to select the option, which is the most favourable from the environmental point of view. The primary goal of this work is to examine the possibility of using multi-criteria methods in order to select the route variant most favourable for the environment. In the first stage, a review of global literature from 2010 to 2019 was conducted on the subject of MCDM/MCDA (Multi-Criteria Decision Making/Multi-Criteria Decision Analysis) methods used in transportation. Based on the review, it was proven that the most popular methods used to solve multi-criteria decision problems in the field of transport are respectively: AHP with modifications, TOPSIS, DEMATEL, as well as methods encompassed in the so-called European trend, i.e. PROMETHEE and ELECTRE. Four selected methods were used in the empirical part of this work. They were used to select the variant of the expressway section in north-eastern Poland and compare the result of the analysis with the choice made in the analyzed environmental impact report.

Multi-criteria analysis of transport infrastructure projects

The Sustainable Development Goals and the Paris Agreement pose new conceptual challenges for energy decision makers by compelling them to consider the implications of their choices for development and climate mitigation objectives. This is a nontrivial exercise as it requires pragmatic consideration of the interconnections between energy systems and their social and environmental contexts and working with a plurality of actors and values. There are an increasing number of indices, frameworks and academic studies that capture these interconnections, yet policy makers have relatively few ex-ante tools to pragmatically aid decision-making. This paper, based on a collation of 167 studies, reviews how multi-criteria decision approaches (MCDA) are used in energy policy decisions to explicitly consider multiple social and environmental objectives, and the conceptual usefulness of doing so. First, MCDA can be used to distil a finite set of objectives from those of a large number of actors. This process is often political and objectives identified are aligned with vested interests or institutional incentives. Second, MCDA can be used to build evidence that is both qualitative and quantitative in nature to capture the implications of energy choices across economic, environmental, social and political metrics. Third, MCDA can be used to explore synergies and trade-offs between energy, social and environmental objectives, and in turn, make explicit the political implications of choices for actors. The studies reviewed in this paper demonstrate that the use of MCDA is so far mainly academic and for problems in the Global North. We argue for a mainstreaming of such a multi-criteria and deliberative approaches for energy policy decisions in developing countries where trade-offs between energy, development and climate mitigation are more contentious while recognizing the data, capacity and transparency requirements of the process.

Scott Applegate

Papers

A hybrid life cycle and multi-criteria decision analysis approach for identifying sustainable development strategies of Beijing's taxi fleet