Effects of Flooding on Roadways through Simulation-Traffic Integrated Vulnerability Modeling
AbstractUrban flooding poses a significant threat to the functionality of roadway networks, and the frequency and severity of these events are anticipated to increase as a result of climate change. A key challenge in mitigating urban flood impact is the lack of detailed flood impact prediction metho...
Gespeichert in:
Veröffentlicht in: | Natural hazards review 2024-08, Vol.25 (3) |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 3 |
container_start_page | |
container_title | Natural hazards review |
container_volume | 25 |
creator | Yin, Yangtian Choi, Kunhee Lee, Yongcheol Shariatfar, Moeid |
description | AbstractUrban flooding poses a significant threat to the functionality of roadway networks, and the frequency and severity of these events are anticipated to increase as a result of climate change. A key challenge in mitigating urban flood impact is the lack of detailed flood impact prediction methods at a large scale. This study addresses this gap by developing an integrated framework that assesses the flood vulnerability of large-scale urban roadway networks. A framework combining a large-scale hydraulic flood simulation with a roadway traffic network analysis was utilized to map the impact of flooding on the mobility and connectivity of the roadway network. Then, a flood-roadway network analysis was conducted to assess the vulnerability of the Houston roadway network under different phases of the flooding event. The efficacy of the proposed framework is validated through a case study focusing on Hurricane Harvey in Houston, successfully identifying areas with pronounced flood vulnerability. By adopting this framework, decision makers can better evaluate the flood vulnerability of the roadway network and identify areas that require attention to enhance resilience to floods.
Practical ApplicationsUrban flooding is always a great threat to our economy and safety. This study explores a new way of predicting, responding to, and planning for major urban flooding events. Our large-scale flood-roadway prediction framework can be used to predict flood impacts rapidly and accurately in advance, providing policymakers precious time to plan accordingly. Urban planners and city officials can leverage our research to identify areas more vulnerable to floods and guide urban development to increase flood resilience. Moreover, first responders can utilize our large-scale flood-roadway prediction framework to gain critical situation awareness in their disaster rescue efforts. Lastly, our research can play a crucial role in providing public information on flood risks. By providing timely and accurate flood alerts to the public, individuals and communities can take proactive measures to protect themselves and their property. |
doi_str_mv | 10.1061/NHREFO.NHENG-1971 |
format | Article |
fullrecord | <record><control><sourceid>proquest_asce_</sourceid><recordid>TN_cdi_proquest_journals_3064352089</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3064352089</sourcerecordid><originalsourceid>FETCH-LOGICAL-a206t-59b1cc30af7f1686df18e2c822455d4e807f20c98249a46411d1af0e2dc2afc63</originalsourceid><addsrcrecordid>eNpFkF1LwzAYhYMoOKc_wLuA15150zRNLmV0HzA3mNMroWT52Dpqo03K2L93c6JX51w8nAMPQvdABkA4PM4ny2K0GMwnxXycgMzhAvUgo3nCpeSXf12Ia3QTwo4QYDnJeui9cM7qGLB3eFR7b6pmg32Dl16ZvToEHLet7zZb_FJ9dLWKlW-SVaucqzSeNtFuWhWtwW9d3dhWrau6igf87I2tj0O36MqpOti73-yj11GxGk6S2WI8HT7NEkUJj0km16B1SpTLHXDBjQNhqRaUsiwzzAqSO0q0FJRJxTgDMKAcsdRoqpzmaR89nHc_W__V2RDLne_a5nhZpoSzNKNEyCM1OFMqaPtPAClPBsuzwfLHYHkymH4DuL9leg</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3064352089</pqid></control><display><type>article</type><title>Effects of Flooding on Roadways through Simulation-Traffic Integrated Vulnerability Modeling</title><source>American Society of Civil Engineers:NESLI2:Journals:2014</source><creator>Yin, Yangtian ; Choi, Kunhee ; Lee, Yongcheol ; Shariatfar, Moeid</creator><creatorcontrib>Yin, Yangtian ; Choi, Kunhee ; Lee, Yongcheol ; Shariatfar, Moeid</creatorcontrib><description>AbstractUrban flooding poses a significant threat to the functionality of roadway networks, and the frequency and severity of these events are anticipated to increase as a result of climate change. A key challenge in mitigating urban flood impact is the lack of detailed flood impact prediction methods at a large scale. This study addresses this gap by developing an integrated framework that assesses the flood vulnerability of large-scale urban roadway networks. A framework combining a large-scale hydraulic flood simulation with a roadway traffic network analysis was utilized to map the impact of flooding on the mobility and connectivity of the roadway network. Then, a flood-roadway network analysis was conducted to assess the vulnerability of the Houston roadway network under different phases of the flooding event. The efficacy of the proposed framework is validated through a case study focusing on Hurricane Harvey in Houston, successfully identifying areas with pronounced flood vulnerability. By adopting this framework, decision makers can better evaluate the flood vulnerability of the roadway network and identify areas that require attention to enhance resilience to floods.
Practical ApplicationsUrban flooding is always a great threat to our economy and safety. This study explores a new way of predicting, responding to, and planning for major urban flooding events. Our large-scale flood-roadway prediction framework can be used to predict flood impacts rapidly and accurately in advance, providing policymakers precious time to plan accordingly. Urban planners and city officials can leverage our research to identify areas more vulnerable to floods and guide urban development to increase flood resilience. Moreover, first responders can utilize our large-scale flood-roadway prediction framework to gain critical situation awareness in their disaster rescue efforts. Lastly, our research can play a crucial role in providing public information on flood risks. By providing timely and accurate flood alerts to the public, individuals and communities can take proactive measures to protect themselves and their property.</description><identifier>ISSN: 1527-6988</identifier><identifier>EISSN: 1527-6996</identifier><identifier>DOI: 10.1061/NHREFO.NHENG-1971</identifier><language>eng</language><publisher>New York: American Society of Civil Engineers</publisher><subject>Climate change ; Flood predictions ; Flooding ; Floods ; Hurricanes ; Impact prediction ; Network analysis ; Roads ; Technical Papers</subject><ispartof>Natural hazards review, 2024-08, Vol.25 (3)</ispartof><rights>2024 American Society of Civil Engineers</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttp://ascelibrary.org/doi/pdf/10.1061/NHREFO.NHENG-1971$$EPDF$$P50$$Gasce$$H</linktopdf><linktohtml>$$Uhttp://ascelibrary.org/doi/abs/10.1061/NHREFO.NHENG-1971$$EHTML$$P50$$Gasce$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,76064,76072</link.rule.ids></links><search><creatorcontrib>Yin, Yangtian</creatorcontrib><creatorcontrib>Choi, Kunhee</creatorcontrib><creatorcontrib>Lee, Yongcheol</creatorcontrib><creatorcontrib>Shariatfar, Moeid</creatorcontrib><title>Effects of Flooding on Roadways through Simulation-Traffic Integrated Vulnerability Modeling</title><title>Natural hazards review</title><description>AbstractUrban flooding poses a significant threat to the functionality of roadway networks, and the frequency and severity of these events are anticipated to increase as a result of climate change. A key challenge in mitigating urban flood impact is the lack of detailed flood impact prediction methods at a large scale. This study addresses this gap by developing an integrated framework that assesses the flood vulnerability of large-scale urban roadway networks. A framework combining a large-scale hydraulic flood simulation with a roadway traffic network analysis was utilized to map the impact of flooding on the mobility and connectivity of the roadway network. Then, a flood-roadway network analysis was conducted to assess the vulnerability of the Houston roadway network under different phases of the flooding event. The efficacy of the proposed framework is validated through a case study focusing on Hurricane Harvey in Houston, successfully identifying areas with pronounced flood vulnerability. By adopting this framework, decision makers can better evaluate the flood vulnerability of the roadway network and identify areas that require attention to enhance resilience to floods.
Practical ApplicationsUrban flooding is always a great threat to our economy and safety. This study explores a new way of predicting, responding to, and planning for major urban flooding events. Our large-scale flood-roadway prediction framework can be used to predict flood impacts rapidly and accurately in advance, providing policymakers precious time to plan accordingly. Urban planners and city officials can leverage our research to identify areas more vulnerable to floods and guide urban development to increase flood resilience. Moreover, first responders can utilize our large-scale flood-roadway prediction framework to gain critical situation awareness in their disaster rescue efforts. Lastly, our research can play a crucial role in providing public information on flood risks. By providing timely and accurate flood alerts to the public, individuals and communities can take proactive measures to protect themselves and their property.</description><subject>Climate change</subject><subject>Flood predictions</subject><subject>Flooding</subject><subject>Floods</subject><subject>Hurricanes</subject><subject>Impact prediction</subject><subject>Network analysis</subject><subject>Roads</subject><subject>Technical Papers</subject><issn>1527-6988</issn><issn>1527-6996</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNpFkF1LwzAYhYMoOKc_wLuA15150zRNLmV0HzA3mNMroWT52Dpqo03K2L93c6JX51w8nAMPQvdABkA4PM4ny2K0GMwnxXycgMzhAvUgo3nCpeSXf12Ia3QTwo4QYDnJeui9cM7qGLB3eFR7b6pmg32Dl16ZvToEHLet7zZb_FJ9dLWKlW-SVaucqzSeNtFuWhWtwW9d3dhWrau6igf87I2tj0O36MqpOti73-yj11GxGk6S2WI8HT7NEkUJj0km16B1SpTLHXDBjQNhqRaUsiwzzAqSO0q0FJRJxTgDMKAcsdRoqpzmaR89nHc_W__V2RDLne_a5nhZpoSzNKNEyCM1OFMqaPtPAClPBsuzwfLHYHkymH4DuL9leg</recordid><startdate>20240801</startdate><enddate>20240801</enddate><creator>Yin, Yangtian</creator><creator>Choi, Kunhee</creator><creator>Lee, Yongcheol</creator><creator>Shariatfar, Moeid</creator><general>American Society of Civil Engineers</general><scope>7QF</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7T2</scope><scope>7TA</scope><scope>7TB</scope><scope>7TG</scope><scope>7TN</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>H96</scope><scope>JG9</scope><scope>JQ2</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20240801</creationdate><title>Effects of Flooding on Roadways through Simulation-Traffic Integrated Vulnerability Modeling</title><author>Yin, Yangtian ; Choi, Kunhee ; Lee, Yongcheol ; Shariatfar, Moeid</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a206t-59b1cc30af7f1686df18e2c822455d4e807f20c98249a46411d1af0e2dc2afc63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Climate change</topic><topic>Flood predictions</topic><topic>Flooding</topic><topic>Floods</topic><topic>Hurricanes</topic><topic>Impact prediction</topic><topic>Network analysis</topic><topic>Roads</topic><topic>Technical Papers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yin, Yangtian</creatorcontrib><creatorcontrib>Choi, Kunhee</creatorcontrib><creatorcontrib>Lee, Yongcheol</creatorcontrib><creatorcontrib>Shariatfar, Moeid</creatorcontrib><collection>Aluminium Industry Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Natural hazards review</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yin, Yangtian</au><au>Choi, Kunhee</au><au>Lee, Yongcheol</au><au>Shariatfar, Moeid</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effects of Flooding on Roadways through Simulation-Traffic Integrated Vulnerability Modeling</atitle><jtitle>Natural hazards review</jtitle><date>2024-08-01</date><risdate>2024</risdate><volume>25</volume><issue>3</issue><issn>1527-6988</issn><eissn>1527-6996</eissn><abstract>AbstractUrban flooding poses a significant threat to the functionality of roadway networks, and the frequency and severity of these events are anticipated to increase as a result of climate change. A key challenge in mitigating urban flood impact is the lack of detailed flood impact prediction methods at a large scale. This study addresses this gap by developing an integrated framework that assesses the flood vulnerability of large-scale urban roadway networks. A framework combining a large-scale hydraulic flood simulation with a roadway traffic network analysis was utilized to map the impact of flooding on the mobility and connectivity of the roadway network. Then, a flood-roadway network analysis was conducted to assess the vulnerability of the Houston roadway network under different phases of the flooding event. The efficacy of the proposed framework is validated through a case study focusing on Hurricane Harvey in Houston, successfully identifying areas with pronounced flood vulnerability. By adopting this framework, decision makers can better evaluate the flood vulnerability of the roadway network and identify areas that require attention to enhance resilience to floods.
Practical ApplicationsUrban flooding is always a great threat to our economy and safety. This study explores a new way of predicting, responding to, and planning for major urban flooding events. Our large-scale flood-roadway prediction framework can be used to predict flood impacts rapidly and accurately in advance, providing policymakers precious time to plan accordingly. Urban planners and city officials can leverage our research to identify areas more vulnerable to floods and guide urban development to increase flood resilience. Moreover, first responders can utilize our large-scale flood-roadway prediction framework to gain critical situation awareness in their disaster rescue efforts. Lastly, our research can play a crucial role in providing public information on flood risks. By providing timely and accurate flood alerts to the public, individuals and communities can take proactive measures to protect themselves and their property.</abstract><cop>New York</cop><pub>American Society of Civil Engineers</pub><doi>10.1061/NHREFO.NHENG-1971</doi></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1527-6988 |
ispartof | Natural hazards review, 2024-08, Vol.25 (3) |
issn | 1527-6988 1527-6996 |
language | eng |
recordid | cdi_proquest_journals_3064352089 |
source | American Society of Civil Engineers:NESLI2:Journals:2014 |
subjects | Climate change Flood predictions Flooding Floods Hurricanes Impact prediction Network analysis Roads Technical Papers |
title | Effects of Flooding on Roadways through Simulation-Traffic Integrated Vulnerability Modeling |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-08T17%3A05%3A08IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_asce_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Effects%20of%20Flooding%20on%20Roadways%20through%20Simulation-Traffic%20Integrated%20Vulnerability%20Modeling&rft.jtitle=Natural%20hazards%20review&rft.au=Yin,%20Yangtian&rft.date=2024-08-01&rft.volume=25&rft.issue=3&rft.issn=1527-6988&rft.eissn=1527-6996&rft_id=info:doi/10.1061/NHREFO.NHENG-1971&rft_dat=%3Cproquest_asce_%3E3064352089%3C/proquest_asce_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3064352089&rft_id=info:pmid/&rfr_iscdi=true |