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Climate Change Adaptation Strategies for Road Transportation Infrastructure: A Systematic Review on Flooding Events

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Transportation Systems Technology and Integrated Management

Part of the book series: Energy, Environment, and Sustainability ((ENENSU))

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Abstract

During the last decades, the number of flooding events has increased significantly, due to the global trend of urbanization and climate change, becoming a recurring biophysical impact, resulting in major physical disruption to water and wastewater systems, life and economic losses, and damage to the critical infrastructure. For the road transportation sector, this reality is indisputable, as severe flooding events tend to severely damage the transportation infrastructure and reduce the network connectivity, increasing repair, maintenance, and construction costs. Thus, through a systematic literature review, with direct database searches and application of inclusion and qualification (quality and applicability) filters, a repository of 213 publications on adaptation strategies applied to reduce the impacts of flooding on road infrastructure is developed. Most of these studies have been published since 2014, due to the publication of the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. It should also be noted that, of the overall total, only 47% of studies deal specifically with the road transportation sector (the remaining 53% cite the sector only as an example), thus demonstrating the urgency of further studies on the topic. It should also be noted that the climate risk assessment, involving the creation of current and future flood risk maps, is essential for determining the best climate change adaptation strategies for road transportation infrastructure. As flood damages and costs are largely and strictly site-specific, analyses are critical for guiding land use decisions and evaluating adaptation strategies that can be divided into hard adaptation (optimization or redesign of hydraulic components, installation of protective structures and optimization of environmental conditions) and soft adaptation (creation of transportation-focused master plans and development of quantitative models and systems).

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Acknowledgements

The authors would like to thank the AdaptaVias Project, which is an effort undertaken by the Ministry of Infrastructure (Ministério da Infraestrutura—MInfra, in Portuguese), within the framework of the Memorandum of Understanding signed with the Deutsche Gesellschaft fur Internationale Zusammenarbeit (GIZ) GmbH in Brazil, which is supported by the Ministry of Science, Technology and Innovations (Ministério da Ciência, Tecnologia e Inovações—MCTI, in Portuguese) and the National Institute for Space Research (Instituto Nacional de Pesquisas Espaciais—Inpe, in Portuguese). In addition, this work was supported by Carlos Chagas Filho Foundation for Research Support of the State of Rio de Janeiro, under grants #2021007191. This study was also financed in part by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior—Brasil (CAPES)—Finance Code 001.

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Authors and Affiliations

  1. Sustainable Transport Laboratory (LabTS), Alberto Luiz Coimbra Institute for Graduate Studies and Research in Engineering (COPPE), Federal University of Rio de Janeiro (UFRJ), Transport Engineering Program, Rio de Janeiro, Brazil

    Victor Hugo Souza de Abreu & Andrea Souza Santos

  2. Environmental Postgraduate Course, COPPE-UFRJ, Rio de Janeiro, Brazil

    Thaís Guedes Máximo Monteiro

  3. Laboratory for Computational Methods in Engineering (LAMCE), COPPE/UFRJ, Civil Engineering Program, Rio de Janeiro, Brazil

    Adriano de Oliveira Vasconcelos

Authors
  1. Victor Hugo Souza de Abreu
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  2. Thaís Guedes Máximo Monteiro
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  3. Adriano de Oliveira Vasconcelos
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  4. Andrea Souza Santos
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Corresponding author

Correspondence to Andrea Souza Santos .

Editor information

Editors and Affiliations

  1. School of Engineering and Applied Sciences, National Rail and Transportation Institute, Vadodara, Gujarat, India

    Ram Krishna Upadhyay

  2. School of Engineering and Applied Sciences, National Rail and Transportation Institute, Vadodara, Gujarat, India

    Sunil Kumar Sharma

  3. Department of Mechanical Engineering, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    Vikram Kumar

  4. Engine Research Laboratory, Indian Institute of Technology Kanpur, Kanpur, Uttar Pradesh, India

    Hardikk Valera

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de Abreu, V.H.S., Monteiro, T.G.M., de Oliveira Vasconcelos, A., Santos, A.S. (2023). Climate Change Adaptation Strategies for Road Transportation Infrastructure: A Systematic Review on Flooding Events. In: Upadhyay, R.K., Sharma, S.K., Kumar, V., Valera, H. (eds) Transportation Systems Technology and Integrated Management. Energy, Environment, and Sustainability. Springer, Singapore. https://doi.org/10.1007/978-981-99-1517-0_2

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