A Juxtaposition of Autonomous Haulage Systems in China and Australia: Technological, Economic, and Social Perspectives

Abstract The integration of Autonomous Haulage Systems (AHS) in surface mining has transformed operational practices in leading mining nations. This study offers a comparative analysis of the adoption and impact of driverless haul trucks in China and Australia, evaluating key dimensions such as labor economics, digital infrastructure, safety improvements, environmental benefits, and social challenges. While Australia has established itself as a global leader in mining automation—driven by high labor costs, remote operations, and private-sector innovation—China’s transition remains in its early stages, constrained by lower wages, infrastructure gaps, and a large mining workforce. Nonetheless, rising labor costs, national policy mandates, and successful pilot projects are accelerating interest in automation across China. This paper synthesizes data from industrial case studies, government reports, and academic sources to assess the feasibility of full-scale AHS deployment in China. It identifies both strategic opportunities and implementation barriers, including workforce displacement, capital investment requirements, and regulatory uncertainties. The study concludes with a roadmap for phased automation, emphasizing infrastructure readiness, workforce reskilling, and cross-sector policy alignment. By learning from Australia’s experience, China can adapt automation technologies to its unique socio-economic and industrial context, laying the groundwork for a safer, more efficient, and sustainable mining future.

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Publication Details

Journal
Mining Metallurgy & Exploration
Published
2025-11-26
DOI
https://doi.org/10.1007/s42461-025-01394-y
Primary Topic
Mining Techniques and Economics
Type
article
Field-Weighted Citation Impact
0.00

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article

A Juxtaposition of Autonomous Haulage Systems in China and Australia: Technological, Economic, and Social Perspectives

Muhammad Khan, Xinbo Chen
Mining Metallurgy & Exploration
Mining Techniques and Economics
article

A Juxtaposition of Autonomous Haulage Systems in China and Australia: Technological, Economic, and Social Perspectives

Muhammad Khan, Xinbo Chen
article en

Abstract

Abstract The integration of Autonomous Haulage Systems (AHS) in surface mining has transformed operational practices in leading mining nations. This study offers a comparative analysis of the adoption and impact of driverless haul trucks in China and Australia, evaluating key dimensions such as labor economics, digital infrastructure, safety improvements, environmental benefits, and social challenges. While Australia has established itself as a global leader in mining automation—driven by high labor costs, remote operations, and private-sector innovation—China’s transition remains in its early stages, constrained by lower wages, infrastructure gaps, and a large mining workforce. Nonetheless, rising labor costs, national policy mandates, and successful pilot projects are accelerating interest in automation across China. This paper synthesizes data from industrial case studies, government reports, and academic sources to assess the feasibility of full-scale AHS deployment in China. It identifies both strategic opportunities and implementation barriers, including workforce displacement, capital investment requirements, and regulatory uncertainties. The study concludes with a roadmap for phased automation, emphasizing infrastructure readiness, workforce reskilling, and cross-sector policy alignment. By learning from Australia’s experience, China can adapt automation technologies to its unique socio-economic and industrial context, laying the groundwork for a safer, more efficient, and sustainable mining future.

Mining Metallurgy & ExplorationVol. 43(1)
University of Engineering and Technology Lahore (PK), China University of Mining and Technology (CN), Mari Petroleum Company (Pakistan) (PK), China Design Group (China) (CN), China Coal Technology and Engineering Group Corp (China) (CN), Inventec (China) (CN)
China University of Mining and Technology
Openalex Percentile: Top 55%
Mining Techniques and Economics
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