A Fuzzy Approach for Organizational Transportation Aligned with the Sustainable Development Goals: Health Promotion, Inequality Reduction, and Responsible Consumption

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Abstract

In 2015 the United Nations Organization approved the Agenda for Sustainable Development. This agenda defines the Sustainable Development Goals, including Good Health and Well-being, Reduced Inequalities, and Responsible Consumption and Production. The present research introduces a new model for the School Bus Routing Problem (SBRP) to have a direct impact on the three mentioned objectives. The proposed model focuses on fuzzy modeling of maximum students’ walking distance and bus capacity restrictions. Likewise, a new characteristic in the students that imply the differentiation in the distance to walk is included. Experimental results are obtained by applying a parametric linear approach to solve the fuzzy model in conjunction with metaheuristics. The analyzed results allow us to affirm that cost-saving can be achieved at the expense of slightly increasing the student's walking distance and a little overload of the bus capacity. Also, the results reveal that this saving can be obtained by reducing students’ inequalities.

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Sánchez-Ansola, E., Pérez-Pérez, A. C., & Rosete, A. (2022). A Fuzzy Approach for Organizational Transportation Aligned with the Sustainable Development Goals: Health Promotion, Inequality Reduction, and Responsible Consumption. In Studies in Computational Intelligence (Vol. 1036, pp. 205–219). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-97344-5_14

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