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Algorithms applied in decision-making for sustainable transport

机译:在可持续交通决策中应用的算法

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摘要

Global warming, as many other threats, requires more activity from the government, and people inquire about this, rightfully so. However, the public and private sectors nowadays have a joint responsibility with society. Global warming has come out of the scientific community and shows that climate change is an important social, economic, and political issue. Currently the carbon dioxide (CO2) emissions by transportation sector are the main polluter of the planet. For this reason, in this paper we propose a reflection on transport, which is an important sector of the economy, responsible for the generation of many jobs and wealth but, at the same time, it has negative impacts on people, companies, and the environment. Recent investigations demonstrate that mobility problems affects the life quality of the people, business productivity and gross domestic product (GDP) performance. In the face of the changes that we are experiencing, it is important to find alternatives that assistance governments in the decision making to solve the problem of traffic in large and medium-size cities and bring well-being to the population. The goal is to provide accurate tool to help take the best decisions in situations that most of the time has a lack of economic resources and transparency. Another motivation is to increase the productivity of companies and achieve sustainable development by reducing mobility problems and CO2 emissions. As outcomes of the paper, an in-depth study is presented on the subject that indicates a gap in the literature with fuzzy logic applied to sustainability. We indicate a sustainable option for the transport sector using algorithms for decision-making, and broaden the discussion on climate change and solutions to reduce the impacts caused by humanity. When the models were applied through a conceptual study, it was possible to provide an instrument generated on the use of algorithms that can aid decision making by getting qualitative data from a discussion with stakeholders on a topic. Finally, the document identifies the importance of the participation of stakeholder, reinforces legitimacy and transparency in decision-making processes and above all present a tool that can help governments to solve this problem. In short, this work proposes an original and valuable tool to be applied in the decision-making process for the sustainable transport sector based on the stakeholder engagement. (C) 2017 Elsevier Ltd. All rights reserved.
机译:与其他许多威胁一样,全球变暖需要政府采取更多行动,人们对此进行了正当的询问。但是,当今的公共和私营部门与社会负有共同的责任。全球变暖已经从科学界传出,表明气候变化是一个重要的社会,经济和政治问题。当前,运输部门的二氧化碳(CO2)排放量是地球的主要污染源。因此,在本文中,我们提出了对运输的思考,运输是经济的重要部门,负责创造许多就业机会和财富,但同时也对人员,公司和社会产生负面影响。环境。最近的调查表明,流动性问题会影响人们的生活质量,企业生产率和国内生产总值(GDP)绩效。面对我们正在发生的变化,找到替代方案以协助政府决策以解决大中型城市的交通问题并为居民带来福祉非常重要。目的是提供准确的工具,以帮助在大多数情况下缺乏经济资源和透明度的情况下做出最佳决策。另一个动机是通过减少流动性问题和二氧化碳排放量来提高公司的生产率并实现可持续发展。作为论文的成果,我们对该主题进行了深入研究,表明在模糊逻辑应用于可持续性方面文献方面存在空白。我们使用算法进行决策,为运输部门指明了可持续的选择,并扩大了关于气候变化和解决方案的讨论,以减少人类造成的影响。当通过概念研究应用模型时,有可能提供一种使用算法生成的工具,该工具可通过与利益相关者讨论某个主题的定性数据来帮助决策。最后,该文件确定了利益相关者参与的重要性,增强了决策过程的合法性和透明度,最重要的是提出了可以帮助政府解决这一问题的工具。简而言之,这项工作提出了一个原始而有价值的工具,该工具将在利益相关者参与的基础上,应用于可持续交通运输行业的决策过程。 (C)2017 Elsevier Ltd.保留所有权利。

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