Smart school routing problem for the new normality

Carlos M. Leal-Garza, Carlos Gómez-Acosta, Jenny Díaz-Ramírez

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The Smart Mobility Plan in Monterrey’s metropolitan area seeks to generate mobility strategies for the city that are sustainable and make dynamic use of data (with the support of ICTs). This initiative aims to improve the mobility in the region's universities and their surrounding zones as pilot tests and then scale them to larger city districts or to other schools around the world. As part of the university mobility plans, universities such as Universidad de Monterrey (UDEM), offers dedicated transportation services to its community (i.e. students and employees). However, recent studies show a low utilization of this service. This problem gets worse by the drastic social behavior changes caused by the COVID19 pandemic and the decreased service capacity in response to the healthy distance constraints, on the eve of back to school under the new normality. The methodology followed in this work is Intervention Scientific Research, according to its Classic classification, implementing the Hypothetic-Deductive Method. This project uses UDEM university as a case study to develop a comprehensive mobility proposal for school routes within the new normality’s operational conditions, such as potential demand increase, capacity decrease, demand patterns change, and real-time demand information.

Original languageEnglish
Title of host publicationProceedings of the 11th Annual International Conference on Industrial Engineering and Operations Management, 2021
PublisherIEOM Society
Pages1310-1321
Number of pages12
ISBN (Print)9781792361241
Publication statusPublished - 2021
Event11th Annual International Conference on Industrial Engineering and Operations Management, IEOM 2021 - Virtual, Online
Duration: 7 Mar 202111 Mar 2021

Publication series

NameProceedings of the International Conference on Industrial Engineering and Operations Management
ISSN (Electronic)2169-8767

Conference

Conference11th Annual International Conference on Industrial Engineering and Operations Management, IEOM 2021
CityVirtual, Online
Period7/3/2111/3/21

Bibliographical note

Publisher Copyright:
© IEOM Society International.

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering

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