Assessment of Qatar’s road network under sea-level-rise scenarios using traffic simulation and graph theory
<p dir="ltr">Sea-level rise (SLR) threatens every dimension of <u>sustainable development</u>, testing infrastructure resilience and adaptation. This research develops a multi-stage framework to evaluate <u>road network</u> vulnerability under varying SLR scen...
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2025
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| _version_ | 1864513531577106432 |
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| author | Mohammad Zaher Serdar (17191381) |
| author2 | Abdel Rahman Marian (22828202) Eyad Masad (14153484) |
| author2_role | author author |
| author_facet | Mohammad Zaher Serdar (17191381) Abdel Rahman Marian (22828202) Eyad Masad (14153484) |
| author_role | author |
| dc.creator.none.fl_str_mv | Mohammad Zaher Serdar (17191381) Abdel Rahman Marian (22828202) Eyad Masad (14153484) |
| dc.date.none.fl_str_mv | 2025-09-10T15:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1016/j.trd.2025.104827 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Assessment_of_Qatar_s_road_network_under_sea-level-rise_scenarios_using_traffic_simulation_and_graph_theory/30860354 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Environmental engineering Environmental sciences Climate change impacts and adaptation Environmental management Climate Change Impacts Sea Level Rise Modelling Traffic Simulation Graph Metrics Resilience and Vulnerability Assessment Road Network |
| dc.title.none.fl_str_mv | Assessment of Qatar’s road network under sea-level-rise scenarios using traffic simulation and graph theory |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">Sea-level rise (SLR) threatens every dimension of <u>sustainable development</u>, testing infrastructure resilience and adaptation. This research develops a multi-stage framework to evaluate <u>road network</u> vulnerability under varying SLR scenarios through geospatial analysis, traffic simulation, and graph theory. High-resolution maps derived from IPCC-AR6 and NOAA projections show that without adaptation measures, SLR may affect approximately 3–11% of land and 2–17% of roads in Qatar, potentially increasing trip durations up to 15 times. Importantly, the estimated impacts are indicative trends rather than definitive outcomes linked to specific emissions scenarios. In parallel, the paper examines the effectiveness of several graph metrics in evaluating road network performance under SLR-induced disruptions. The goal of this exercise is to identify metrics that strongly correlate with severity levels and simulation outcomes, supporting their utility in resilience assessment. Finally, the paper outlines a practical roadmap to advance SLR risk simulation and support the development of effective adaptation strategies to enhance Qatar’s resilience. The adaptability of the proposed framework and roadmap also enables their application to other geographical contexts, with minimal refinement and appropriate localization. Future research may extend this work by incorporating localized and temporal dynamics and analyzing additional critical infrastructure systems.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: Transportation Research Part D: Transport and Environment<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.trd.2025.104827" target="_blank">https://dx.doi.org/10.1016/j.trd.2025.104827</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_9fddc08bf0f54ea2f4df2b793c21f252 |
| identifier_str_mv | 10.1016/j.trd.2025.104827 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/30860354 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Assessment of Qatar’s road network under sea-level-rise scenarios using traffic simulation and graph theoryMohammad Zaher Serdar (17191381)Abdel Rahman Marian (22828202)Eyad Masad (14153484)EngineeringEnvironmental engineeringEnvironmental sciencesClimate change impacts and adaptationEnvironmental managementClimate Change ImpactsSea Level Rise ModellingTraffic SimulationGraph MetricsResilience and Vulnerability AssessmentRoad Network<p dir="ltr">Sea-level rise (SLR) threatens every dimension of <u>sustainable development</u>, testing infrastructure resilience and adaptation. This research develops a multi-stage framework to evaluate <u>road network</u> vulnerability under varying SLR scenarios through geospatial analysis, traffic simulation, and graph theory. High-resolution maps derived from IPCC-AR6 and NOAA projections show that without adaptation measures, SLR may affect approximately 3–11% of land and 2–17% of roads in Qatar, potentially increasing trip durations up to 15 times. Importantly, the estimated impacts are indicative trends rather than definitive outcomes linked to specific emissions scenarios. In parallel, the paper examines the effectiveness of several graph metrics in evaluating road network performance under SLR-induced disruptions. The goal of this exercise is to identify metrics that strongly correlate with severity levels and simulation outcomes, supporting their utility in resilience assessment. Finally, the paper outlines a practical roadmap to advance SLR risk simulation and support the development of effective adaptation strategies to enhance Qatar’s resilience. The adaptability of the proposed framework and roadmap also enables their application to other geographical contexts, with minimal refinement and appropriate localization. Future research may extend this work by incorporating localized and temporal dynamics and analyzing additional critical infrastructure systems.</p><h2 dir="ltr">Other Information</h2><p dir="ltr">Published in: Transportation Research Part D: Transport and Environment<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1016/j.trd.2025.104827" target="_blank">https://dx.doi.org/10.1016/j.trd.2025.104827</a></p>2025-09-10T15:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1016/j.trd.2025.104827https://figshare.com/articles/journal_contribution/Assessment_of_Qatar_s_road_network_under_sea-level-rise_scenarios_using_traffic_simulation_and_graph_theory/30860354CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/308603542025-09-10T15:00:00Z |
| spellingShingle | Assessment of Qatar’s road network under sea-level-rise scenarios using traffic simulation and graph theory Mohammad Zaher Serdar (17191381) Engineering Environmental engineering Environmental sciences Climate change impacts and adaptation Environmental management Climate Change Impacts Sea Level Rise Modelling Traffic Simulation Graph Metrics Resilience and Vulnerability Assessment Road Network |
| status_str | publishedVersion |
| title | Assessment of Qatar’s road network under sea-level-rise scenarios using traffic simulation and graph theory |
| title_full | Assessment of Qatar’s road network under sea-level-rise scenarios using traffic simulation and graph theory |
| title_fullStr | Assessment of Qatar’s road network under sea-level-rise scenarios using traffic simulation and graph theory |
| title_full_unstemmed | Assessment of Qatar’s road network under sea-level-rise scenarios using traffic simulation and graph theory |
| title_short | Assessment of Qatar’s road network under sea-level-rise scenarios using traffic simulation and graph theory |
| title_sort | Assessment of Qatar’s road network under sea-level-rise scenarios using traffic simulation and graph theory |
| topic | Engineering Environmental engineering Environmental sciences Climate change impacts and adaptation Environmental management Climate Change Impacts Sea Level Rise Modelling Traffic Simulation Graph Metrics Resilience and Vulnerability Assessment Road Network |