Special Issue: “Applications of Big Data in Public Transportation Systems”

R.C.P. Wong; Jintao Ke; Fangni Zhang

doi:10.3390/app16083650

April 8, 2026Applied SciencesOpen Access

Special Issue: “Applications of Big Data in Public Transportation Systems”

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Key Points

The aim is to highlight and summarize the contributions of five papers on big data applications in public transportation systems.
Reviewed five scientific papers on big data applications in public transportation.
Analyzed methodologies and findings presented in the papers.
Identified common themes and innovative approaches to traffic management.
Showcases various applications of big data in enhancing public transport efficiency.
Highlights successful case studies from different geographical contexts.
Illustrates the potential for predictive modeling to improve traffic management.

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Implication

Editorial summarizes five papers on big data applications in public transportation, indicating their significance.

Abstract

This Editorial aims to summarize the contents of the five scientific papers included in the Special Issue “Applications of Big Data in Public Transportation Systems”.

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Wong et al. (2026) studied this question.

synapsesocial.com/papers/69d895a86c1944d70ce06b32 https://doi.org/10.3390/app16083650

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Special Issue: “Applications of Big Data in Public Transportation Systems”

Key Points

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Implication

Abstract

Discussion

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Special Issue: “Applications of Big Data in Public Transportation Systems”

Key Points

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Implication

Abstract

Discussion

Cite This Study

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