American Journal of Advanced Multidisciplinary Research and Innovation

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Interdisciplinary Perspectives on Sustainable Infrastructure Development

Author(s) Cynthia J. Atman
Country United States
Abstract Sustainable infrastructure development has become a global priority due to rapid urbanisation, climate change, resource scarcity, population growth, and increasing demands for resilient public infrastructure. Modern infrastructure systems must balance economic growth, environmental sustainability, social inclusion, technological innovation, and long-term resilience. Addressing these complex challenges requires interdisciplinary collaboration among civil engineering, environmental science, urban planning, information technology, economics, public policy, architecture, transportation, and management disciplines. The integration of Artificial Intelligence (AI), Building Information Modelling (BIM), Digital Twin Technology, Internet of Things (IoT), Geographic Information Systems (GIS), Machine Learning (ML), Big Data Analytics, Cloud Computing, Blockchain, Renewable Energy Systems, Smart Materials, and Green Construction Technologies is transforming infrastructure planning, construction, operation, and maintenance.
This study presents a comprehensive analysis of Interdisciplinary Perspectives on Sustainable Infrastructure Development. A qualitative analytical research methodology based on secondary data is employed to investigate sustainable infrastructure planning, digital construction technologies, intelligent asset management, resilient urban systems, green engineering practices, and multidisciplinary governance frameworks. The research evaluates how interdisciplinary collaboration enhances infrastructure resilience, environmental performance, economic efficiency, social equity, and lifecycle sustainability.
The findings indicate that interdisciplinary approaches significantly improve infrastructure quality, energy efficiency, carbon emission reduction, disaster resilience, project lifecycle management, resource optimisation, and stakeholder collaboration. Artificial Intelligence supports predictive infrastructure maintenance and intelligent decision-making, while BIM and Digital Twin Technology enable real-time project visualisation, simulation, and lifecycle management. IoT-based sensor networks facilitate continuous structural health monitoring, and blockchain enhances transparency and accountability in construction procurement and project management.
Despite these opportunities, challenges remain concerning high implementation costs, fragmented institutional coordination, interoperability issues, workforce skill shortages, regulatory complexity, cybersecurity risks, and sustainable financing. Future research should investigate explainable AI for infrastructure management, autonomous digital construction ecosystems, climate-resilient infrastructure modelling, circular construction frameworks, and integrated digital governance for infrastructure systems.
The study concludes that interdisciplinary collaboration combined with advanced digital technologies provides a comprehensive pathway for achieving sustainable infrastructure that supports resilient cities, economic development, environmental protection, and improved quality of life.
Keywords Sustainable Infrastructure, Interdisciplinary Research, Smart Infrastructure, Artificial Intelligence, Building Information Modelling, Digital Twin, Green Construction, Internet of Things, Sustainable Development, Infrastructure Resilience.
Field Engineering
Published In Volume 2, Issue 4, July-August 2020
Published On 2020-08-05
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