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Title: CLIMATE-RESPONSIVE PAVEMENT MANAGEMENT IN JORDAN: LEVERAGING MACHINE LEARNING FOR SUSTAINABLE INFRASTRUCTURE

Year

2025

BibTex Views:

382

Peer Reviewed

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Title

CLIMATE-RESPONSIVE PAVEMENT MANAGEMENT IN JORDAN: LEVERAGING MACHINE LEARNING FOR SUSTAINABLE INFRASTRUCTURE

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Authors

Odey Alsbhoul; Ali Shehadeh; Khaled Al-Shboul; Ghassan Almasabha; Rabia Al Mamlook Ș ș

DOI

10.5593/sgem2025/6.1/s26.47

DOI Issue

10.5593/sgem2025/6.1

ISSN

1314-2704

ISBN

978-619-7603-87-3

Language

English

Volume

Issue

6.1

Editor

• Prof. Dr. hab. oec. Baiba Rivza, LATVIA• Prof. DSc. Ildiko Tulbure, GERMANY• Prof. DSc. Oleksandr Trofymchuk, UKRAINE

Scientific Area

Green Design, Sustainable Cities and Architecture

Abstract/ Foreword

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.

References (click to open)

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Acknowledgements (click to open)

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Type

conference

Url

https://doi.org/10.5593/sgem2025/6.1/s26.47

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CLIMATE-RESPONSIVE PAVEMENT MANAGEMENT IN JORDAN: LEVERAGING MACHINE LEARNING FOR SUSTAINABLE INFRASTRUCTURE

Proceedings Тitle

Proceedings of 25th International Multidisciplinary Scientific GeoConference SGEM 2025, Volume 25, Issue 6.1

Note

25th International Multidisciplinary Scientific GeoConference SGEM 2025, Volume 25, Issue 6.1, 29 June - 6 July, 2025

Type

Proceedings Paper

Publisher

STEF92 Technology

Series

International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM

Organization

SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.

Pages

333-342

Date

29 June - 6 July, 2025

Online Source Type

website

Digital Source Type

10241

Keywords

Climate Change, Pavement Management, Machine Learning, Asphalt Resilience, Sustainable Infrastructure