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CLIMATE-RESPONSIVE PAVEMENT MANAGEMENT IN JORDAN: LEVERAGING MACHINE LEARNING FOR SUSTAINABLE INFRASTRUCTURE
Abstract
Climate change poses a significant challenge to infrastructure worldwide, with asphalt pavements particularly vulnerable due to their temperature-sensitive properties. Jordan-s pavement infrastructure faces escalating challenges due to climate change, including rising temperatures and increasing environmental stressors. This study investigates the impact of climate change on asphalt road pavements in Jordan, focusing on the period from 2020 to 2050. Using advanced machine learning algorithms integrated with mathematical models, the research develops predictive maintenance plans tailored to Jordan-s unique climatic and environmental conditions. The findings highlight significant temperature fluctuations over the study period, emphasizing the need for innovative, climate-adaptive solutions in pavement design and management. The proposed strategies aim to enhance pavement resilience, optimize resource allocation, and reduce long-term maintenance costs. This research underscores the critical importance of incorporating climate-responsive planning into infrastructure management to support sustainable development in Jordan.
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References1
. Saleh, M. and L. Hashemian, Addressing Climate Change Resilience in Pavements: Major Vulnerability Issues and Adaptation Measures. Sustainability, 2022. 14(4): p. 2410 DOI: 10.3390/su14042410 [11.] Wang, T., et al., How can the UK road system be adapted to the impacts posed by climate change? By creating a climate adaptation framework. Transportation Research Part D: Transport and Environment, 2019. 77: p. 403-424. doi:https://doi.org/ 10.1016/j.trd.2019.02.007 https://doi.org/10.1016/j.trd.2019.02.007
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