Citation

Toa, Chean Khim and Lew, Kai Liang and Wong, Zhan Yik Jeremy and Low, Kien Horng and Khoo, Tian Ming (2026) Big Data Analytics Technologies and Implementation Challenges for Smart Infrastructure Development in Malaysia: A Narrative Review. International Journal on Robotics Automation and Sciences, 8 (1). p. 65. ISSN 2682-860X

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Abstract

Malaysians have invested considerable resources in infrastructure for Big Data Analytics (BDA) applications. However, they face challenges in traffic management and security monitoring, hindering effective urban management. Methodology: Based on a narrative literature review analysing international case studies from Singapore, São Paulo, and comparable cities, this review synthesises 38 academic sources and policy documents to examine barriers hindering BDA scaling in Malaysian cities. Findings: The analysis identifies four theoretical barrier categories: limited sensor coverage and insufficient data processing capacity, governance fragmentation among federal, state, and municipal authorities, regulatory framework gaps, and implementation capacity constraints. Recent developments in Malaysia have demonstrated success in monitoring traffic through initiatives such as the Malaysia City Brain project. However, literature suggests that implementation challenges persist due to Malaysia's governance structure and limited infrastructure. Contribution: This study presents a conceptual five-priority framework derived from international experiences, emphasising the expansion of existing corridor-based pilots that focused on BDA implementations along highway segments. It leverages federal coordination mechanisms through the Data Sharing Act 2025, develops regulations, fosters strategic partnerships, and implements performance measurement systems. The analysis reveals that governance coordination and the development of a regulatory framework appear critical for guiding infrastructure investments toward effective BDA adoption. Implications: These findings provide Malaysian policymakers with theoretical considerations and international benchmarks for developing integrated urban analytics systems to optimise traffic and enhance security monitoring. However, empirical validation through stakeholder engagement and pilot project evaluation would be necessary before implementation.

Item Type:	Article
Uncontrolled Keywords:	Big Data Analytics
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines > QA75.5-76.95 Electronic computers. Computer science
Divisions:	Faculty of Engineering and Technology (FET)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	09 Jul 2026 03:35
Last Modified:	09 Jul 2026 03:35
URII:	http://shdl.mmu.edu.my/id/eprint/16336

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