Physics Maths Engineering
Multi-Criteria Analysis in the Decision-Making Approach for the Linear Ordering of Urban Transport Based on TOPSIS Technique
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Slawomira Hajduk
Slawomira Hajduk
Faculty of Engineering Management, Bialystok University of Technology,
Abstract
The effects of urban transport are highly concerning. The rapid urbanization and motorization in smart cities have a huge impact on sustainability. The goal of the paper is to analyse the smart cities selected, in terms of the urban transport. This paper presents an overview of research works published between 1991 and 2020 concerning urban transport and MCDM (multi-criteria decision making). The author highlights the importance of decision-making criteria and their weight, as well as techniques. Seven criteria and forty-four objects were used as the input of the approach. The entropy weight method was used to compute the weight of each criterion. The TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) was applied to calculate the assessment and ranking of transport performance for each smart city. Portland was found to be the best location for transport enterprises and projects; Tbilisi was ranked last. The values of the relative closeness coefficient ranged from 0.03504 to 0.921402. Finally, some suggestions for future research are discussed.
Key Question
What is the focus of this study?
The study examines the performance of renewable energy systems based on energy, economic, and environmental perspectives, specifically in an agricultural farm setting.
How does the renewable energy system benefit agriculture?
Renewable energy systems, such as solar photovoltaic (PV) installations, enhance energy self-sufficiency and reduce the carbon footprint of agricultural activities, leading to more sustainable farming practices.
What economic benefits are associated with renewable energy adoption?
The study highlights cost savings from reduced reliance on grid electricity, long-term financial returns on investments in solar PV systems, and potential income from selling excess energy back to the grid.
What environmental impacts are reduced by implementing renewable energy?
Renewable energy systems significantly reduce greenhouse gas emissions and dependence on fossil fuels, contributing to a lower overall environmental impact of farm operations.
What are the challenges of integrating renewable energy in agriculture?
Key challenges include the initial high investment costs, the need for reliable energy storage solutions, and ensuring adequate system performance under varying weather conditions.
How can this study guide future renewable energy implementation?
The research provides a framework for evaluating energy systems in terms of sustainability, offering valuable insights for policymakers and farmers to optimize renewable energy adoption for both economic and ecological gains.
