Assessing the Impacts of Population Relocation Induced by Future Sea-Level Rise Scenarios on Transportation Systems in Coastal Communities
Abstract
Coastal communities will be more vulnerable to floods in low-lying areas and seawater inundation as the sea level rises. Users will have to take a detour to use alternate roads while the vulnerable roads are closed, increasing travel time. A large amount of literature has been focused on addressing climate change and sea-level rise impacts, vulnerability, economic evaluation, and adaptation. However, few studies have been conducted to study the impacts of population dynamics due to sea level rise within future transportation network modeling. This study aims to identify the future transportation infrastructure in the 2035 model that is vulnerable to a two-foot sea level rise in the Tampa Bay Region, Florida. The impacts of these changes have been considered within three different relocation scenarios for the affected population in the inundated zones. This analysis uses the two-foot Mean Higher High-Level water surface data and the digital elevation data provided by NOAA for 2035. The findings of this study reveal how different sea level rise scenarios could affect the future estimates of the transportation system and could potentially inform future transportation planning decisions. The analysis found that approximately 358 lane miles of highway links will be inundated. Moreover, the number of trips produced, and the amount of congestion generated with each scenario were dependent on the population and employment relocation. The key recommendation of this research is to incorporate the potential impacts of population relocation due to sea level rise into transportation modeling. Generally, different scenarios for relocating population and employment generate new traffic demands, which could result in traffic congestion. Thus, transportation planners should simulate future sea level rise scenarios and evaluate their impact on the current transportation system. Findings from this study could help transportation planners and decision-makers identify the locations and transportation facilities that are most vulnerable to rising sea levels, allowing them to make more informed decisions about adaptation planning.
Full text article
Authors
Copyright (c) 2022 International Journal of Environmental Science & Sustainable Development

This work is licensed under a Creative Commons Attribution 4.0 International License.
- The Author shall grant to the Publisher and its agents the nonexclusive perpetual right and license to publish, archive, and make accessible the Work in whole or in part in all forms of media now or hereafter known under a Creative Commons Attribution 4.0 License or its equivalent, which, for the avoidance of doubt, allows others to copy, distribute, and transmit the Work under the following conditions:
- Attribution: other users must attribute the Work in the manner specified by the author as indicated on the journal Web site;
With the understanding that the above condition can be waived with permission from the Author and that where the Work or any of its elements is in the public domain under applicable law, that status is in no way affected by the license.
- The Author is able to enter into separate, additional contractual arrangements for the nonexclusive distribution of the journal's published version of the Work (e.g., post it to an institutional repository or publish it in a book), as long as there is provided in the document an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post online a pre-publication manuscript (but not the Publisher's final formatted PDF version of the Work) in institutional repositories or on their Websites prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (see The Effect of Open Access). Any such posting made before acceptance and publication of the Work shall be updated upon publication to include a reference to the Publisher-assigned DOI (Digital Object Identifier) and a link to the online abstract for the final published Work in the Journal.
- Upon Publisher's request, the Author agrees to furnish promptly to Publisher, at the Author's own expense, written evidence of the permissions, licenses, and consents for use of third-party material included within the Work, except as determined by Publisher to be covered by the principles of Fair Use.
- The Author represents and warrants that:
- The Work is the Author's original work;
- The Author has not transferred, and will not transfer, exclusive rights in the Work to any third party;
- The Work is not pending review or under consideration by another publisher;
- The Work has not previously been published;
- The Work contains no misrepresentation or infringement of the Work or property of other authors or third parties; and
- The Work contains no libel, invasion of privacy, or other unlawful matter.
- The Author agrees to indemnify and hold Publisher harmless from Author's breach of the representations and warranties contained in Paragraph 7 above, as well as any claim or proceeding relating to Publisher's use and publication of any content contained in the Work, including third-party content.
This work is licensed under a Creative Commons Attribution 4.0 International License.
Article Details
Accepted 2022-12-29
Published 2022-12-30