Data Analytics in Rail Transportation: Applications and Effects for Sustainability

Anna Land, Andrew Buus, Alana Platt

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

Abstract

Advanced integrated technology and big data are current and growing industry concerns. We evaluate applications of big data analytics, especially with implications for sustainability, to rail transportation. We compare various findings to our exploratory case study. Data was collected from partners in a buyer-supplier relationship. The case considers one of the largest railroad network operators in North America and an Internet of Things (IoT) provider that supplies specialized sensors, digital video recorders, and hardware platforms. Practical managerial and organizational lessons are presented.

Original languageEnglish
Article number8892531
Pages (from-to)85-91
Number of pages7
JournalIEEE Engineering Management Review
Volume48
Issue number1
DOIs
StatePublished - 1 Jan 2020

Keywords

  • Data analytics
  • logistics
  • rail transportation
  • sustainability

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