使用二型中智集MEREC-MARCOS模型减缓城市交通的气候变化影响

Mitigating Climate Change Effects of Urban Transportation Using a Type-2 Neutrosophic MEREC-MARCOS Model

IEEE Transactions on Engineering Management · 2022
被引 80 · 同刊同年前 5%
ABS 3

中文导读

研究提出一个结合MEREC和MARCOS方法的二型中智集模型,用于优先排序减缓城市交通气候变化影响的可持续政策,发现土地利用规划是最佳政策。

Abstract

Climate change is the foremost environmental problem that negatively affects the lives of people. Sustainable policies offer an opportunity to mitigate climate change effects of urban transportation. Four sustainable policies are presented to alter the propagation speed of climate change. However, there is a major gap regarding the prioritization of the sustainable policies in advantage order, which is an important problem for all municipalities. Therefore, this study introduces a two-stage model that hybridizes the method based on the removal effects of criteria (MEREC) and measurement of alternatives and ranking according to compromise solution (MARCOS) method into a unique framework under the type-2 neutrosophic number (T2NN) environment. In the first stage, the T2NN-MEREC determines the objective importance of the criteria. In the second stage, the T2NN-MARCOS method ranks the sustainable policies. Our practical findings indicate that land-use planning is the best sustainable policy for mitigating climate change effects of urban transportation. By applying this solution, municipalities may generate an extra budget from low emission zones and limited traffic zones in the short-term run. The introduced T2NN-MEREC-MARCOS model could be used as decision support for authorities while mitigating climate change effects of not only urban transportation but also other human activities.

气候变化城市交通可持续政策多准则决策