Algorithms applied in decision-making for sustainable transport

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 (CO 2) 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 decisionmaking 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 CO 2 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 decisionmaking 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.

Finding the Links between Risk Management and Project Success: Evidence from International Development Projects in Colombia

“…With the first works known to apply this technique carried out by Zadeh [61], fuzzy logic was considered a mathematical theory used under multipurpose logic. In more recent years, the approach has been applied to several areas such as for the identification of stakeholders [62], transportation [63,64], and energy [65]. It has also been applied in the area of sustainability in examining the effects of climate change [66] and capacity factors and their influence on project results in developing countries [67].…”

“…In recent years, its use has also spread in the field of international development, establishing as a very useful methodology for measuring the use of project management tools in NGDOs [68]. Its application in this field of international development fits in with the fact that is particularly appropriate for uncertain environments [61,63,66,68], since when classifying membership in a category, an all or nothing approach is not used, as diffuse logic recognizes the possibility of belonging to more than one, allowing for the development of gradual scales in regard to perceptions, as in this case for risks that affect a project and its success.…”

Sustainable Zoning, Land-Use Allocation and Facility Location Optimisation in Smart Cities

“…Use of smart technology for enhancing the sustainability of the construction sector through targeting demolition waste was discussed in [40]. Even though an investigation on algorithms deployed for sustainable transport policy in cities has been carried out, as detailed in [41], there is no link that has been developed to account for location decisions of new buildings and their impacts on the smart city urban design structure. New ways to achieve systematic-based solutions that augment the process adopted in urban design and planning, and which can lead to future viability and prosperity in metropolitan regions, need to be developed.…”

A Modified Method for Evaluating Sustainable Transport Solutions Based on AHP and Dempster–Shafer Evidence Theory

“…These transport solutions include mode sharing such as car-sharing, bike-sharing [10], and park-and-ride systems [11]; intelligent transport solutions like electrical vehicles [12] and plug-in electric vehicles (PEVs) [13]; as well as multi-modal transport solutions [14][15][16], etc. A broad range of methods and techniques have been proposed to assess the impact of transport solutions on city sustainability.…”