Algorithms applied in decision-making for sustainable transport

Author(s)

Barcellos de Paula, Luciano ^[1] ; Silva Marins, Fernando Augusto ^[2]

Affiliation

^[1] Pontifical Catholic Univ Peru, CENTRUM Catolica Grad Business Sch, Lima - Peru

^[2] Sao Paulo State Univ, Coll Engn, Campus Guaratingueta, Sao Paulo - Brazil

• Document type: Journal article
• Source: JOURNAL OF CLEANER PRODUCTION; v. 176, p. 1133-1143, MAR 1 2018.
• Web of Science Citations: 8

Abstract

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. (AU)

• FAPESP's process: 15/24560-0 - REDUCING THE SEARCH SPACE IN SIMULATION PROBLEMS WITHOUT REPLICATIONS
• Grantee: Fernando Augusto Silva Marins
• Support Opportunities: Regular Research Grants