Flexible Workflow for Determining Critical Hazard and Exposure Scenarios for Assessing SLODs Risk in Urban Built Environments
Urban Built Environments (UBE) are increasingly prone to SLow-Onset Disasters (SLODs) such as air pollution and heatwaves. The effectiveness of sustainable risk-mitigation solutions for the exposed individuals’ health should be defined by considering the effective scenarios in which emergency condit...
Gespeichert in:
Veröffentlicht in: | Sustainability 2021-04, Vol.13 (8), p.4538 |
---|---|
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 | 8 |
container_start_page | 4538 |
container_title | Sustainability |
container_volume | 13 |
creator | Blanco Cadena, Juan Diego Salvalai, Graziano Lucesoli, Michele Quagliarini, Enrico D’Orazio, Marco |
description | Urban Built Environments (UBE) are increasingly prone to SLow-Onset Disasters (SLODs) such as air pollution and heatwaves. The effectiveness of sustainable risk-mitigation solutions for the exposed individuals’ health should be defined by considering the effective scenarios in which emergency conditions can appear. Combining environmental (including climatic) conditions and exposed users’ presence and behaviors is a paramount task to support decision-makers in risk assessment. A clear definition of input scenarios and related critical conditions to be analyzed is needed, especially while applying simulation-based approaches. This work provides a methodology to fill this gap, based on hazard and exposure peaks identification. Quick and remote data-collection is adopted to speed up the process and promote the method application by low-trained specialists. Results firstly trace critical conditions by overlapping air pollution and heatwaves occurrence in the UBE. Exposure peaks (identified by remote analyses on the intended use of UBEs) are then merged to retrieve critical conditions due to the presence of the individuals over time and UBE spaces. The application to a significant case study (UBE in Milan, Italy) demonstrates the approach capabilities to identify key input scenarios for future human behavior simulation activities from a user-centered approach. |
doi_str_mv | 10.3390/su13084538 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2562194357</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2562194357</sourcerecordid><originalsourceid>FETCH-LOGICAL-c295t-3f7b341d1578bf62113852f9dab350b8c721a9aee62987d32d9a3a5dbecb8f8b3</originalsourceid><addsrcrecordid>eNpNUEtLAzEYDKJgqb34CwLehNU8mm5yrH1YoVCwFo9LspuVtNuk5tvVKvjf3VpB5zJzmAcMQpeU3HCuyC00lBPZF1yeoA4jKU0oEeT0nz5HPYA1acE5VXTQQV_Tyu6dqSx-DnFTVuEdlyHisa1t3Drv_AseRVe7XFd4pj91LLD2BZ7sdwGaaPEyt15HF-AnNgSwAIfQcr4YA350sMHO41U02uO7xlU1nvg3F4PfWl_DBTordQW298tdtJpOnkazZL64fxgN50nOlKgTXqaG92lBRSpNOWCUcilYqQptuCBG5imjWmlrB0zJtOCsUJprURibG1lKw7vo6ti7i-G1sVBn69BE305mTLR9qs9F2rquj648BoBoy2wX3VbHj4yS7PBw9vcw_wZr2W8O</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2562194357</pqid></control><display><type>article</type><title>Flexible Workflow for Determining Critical Hazard and Exposure Scenarios for Assessing SLODs Risk in Urban Built Environments</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>MDPI - Multidisciplinary Digital Publishing Institute</source><creator>Blanco Cadena, Juan Diego ; Salvalai, Graziano ; Lucesoli, Michele ; Quagliarini, Enrico ; D’Orazio, Marco</creator><creatorcontrib>Blanco Cadena, Juan Diego ; Salvalai, Graziano ; Lucesoli, Michele ; Quagliarini, Enrico ; D’Orazio, Marco</creatorcontrib><description>Urban Built Environments (UBE) are increasingly prone to SLow-Onset Disasters (SLODs) such as air pollution and heatwaves. The effectiveness of sustainable risk-mitigation solutions for the exposed individuals’ health should be defined by considering the effective scenarios in which emergency conditions can appear. Combining environmental (including climatic) conditions and exposed users’ presence and behaviors is a paramount task to support decision-makers in risk assessment. A clear definition of input scenarios and related critical conditions to be analyzed is needed, especially while applying simulation-based approaches. This work provides a methodology to fill this gap, based on hazard and exposure peaks identification. Quick and remote data-collection is adopted to speed up the process and promote the method application by low-trained specialists. Results firstly trace critical conditions by overlapping air pollution and heatwaves occurrence in the UBE. Exposure peaks (identified by remote analyses on the intended use of UBEs) are then merged to retrieve critical conditions due to the presence of the individuals over time and UBE spaces. The application to a significant case study (UBE in Milan, Italy) demonstrates the approach capabilities to identify key input scenarios for future human behavior simulation activities from a user-centered approach.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su13084538</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Air pollution ; Case studies ; Climate change ; Decision making ; Disasters ; Emergency preparedness ; Environmental conditions ; Exposure ; Human behavior ; Mental task performance ; Mitigation ; Pollution effects ; Remote sensing ; Risk assessment ; Simulation ; Sustainability ; Urban environments ; Workflow</subject><ispartof>Sustainability, 2021-04, Vol.13 (8), p.4538</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c295t-3f7b341d1578bf62113852f9dab350b8c721a9aee62987d32d9a3a5dbecb8f8b3</citedby><cites>FETCH-LOGICAL-c295t-3f7b341d1578bf62113852f9dab350b8c721a9aee62987d32d9a3a5dbecb8f8b3</cites><orcidid>0000-0001-6286-809X ; 0000-0003-3983-3803 ; 0000-0002-1091-8929 ; 0000-0003-3022-4251</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Blanco Cadena, Juan Diego</creatorcontrib><creatorcontrib>Salvalai, Graziano</creatorcontrib><creatorcontrib>Lucesoli, Michele</creatorcontrib><creatorcontrib>Quagliarini, Enrico</creatorcontrib><creatorcontrib>D’Orazio, Marco</creatorcontrib><title>Flexible Workflow for Determining Critical Hazard and Exposure Scenarios for Assessing SLODs Risk in Urban Built Environments</title><title>Sustainability</title><description>Urban Built Environments (UBE) are increasingly prone to SLow-Onset Disasters (SLODs) such as air pollution and heatwaves. The effectiveness of sustainable risk-mitigation solutions for the exposed individuals’ health should be defined by considering the effective scenarios in which emergency conditions can appear. Combining environmental (including climatic) conditions and exposed users’ presence and behaviors is a paramount task to support decision-makers in risk assessment. A clear definition of input scenarios and related critical conditions to be analyzed is needed, especially while applying simulation-based approaches. This work provides a methodology to fill this gap, based on hazard and exposure peaks identification. Quick and remote data-collection is adopted to speed up the process and promote the method application by low-trained specialists. Results firstly trace critical conditions by overlapping air pollution and heatwaves occurrence in the UBE. Exposure peaks (identified by remote analyses on the intended use of UBEs) are then merged to retrieve critical conditions due to the presence of the individuals over time and UBE spaces. The application to a significant case study (UBE in Milan, Italy) demonstrates the approach capabilities to identify key input scenarios for future human behavior simulation activities from a user-centered approach.</description><subject>Air pollution</subject><subject>Case studies</subject><subject>Climate change</subject><subject>Decision making</subject><subject>Disasters</subject><subject>Emergency preparedness</subject><subject>Environmental conditions</subject><subject>Exposure</subject><subject>Human behavior</subject><subject>Mental task performance</subject><subject>Mitigation</subject><subject>Pollution effects</subject><subject>Remote sensing</subject><subject>Risk assessment</subject><subject>Simulation</subject><subject>Sustainability</subject><subject>Urban environments</subject><subject>Workflow</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNUEtLAzEYDKJgqb34CwLehNU8mm5yrH1YoVCwFo9LspuVtNuk5tvVKvjf3VpB5zJzmAcMQpeU3HCuyC00lBPZF1yeoA4jKU0oEeT0nz5HPYA1acE5VXTQQV_Tyu6dqSx-DnFTVuEdlyHisa1t3Drv_AseRVe7XFd4pj91LLD2BZ7sdwGaaPEyt15HF-AnNgSwAIfQcr4YA350sMHO41U02uO7xlU1nvg3F4PfWl_DBTordQW298tdtJpOnkazZL64fxgN50nOlKgTXqaG92lBRSpNOWCUcilYqQptuCBG5imjWmlrB0zJtOCsUJprURibG1lKw7vo6ti7i-G1sVBn69BE305mTLR9qs9F2rquj648BoBoy2wX3VbHj4yS7PBw9vcw_wZr2W8O</recordid><startdate>20210419</startdate><enddate>20210419</enddate><creator>Blanco Cadena, Juan Diego</creator><creator>Salvalai, Graziano</creator><creator>Lucesoli, Michele</creator><creator>Quagliarini, Enrico</creator><creator>D’Orazio, Marco</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0001-6286-809X</orcidid><orcidid>https://orcid.org/0000-0003-3983-3803</orcidid><orcidid>https://orcid.org/0000-0002-1091-8929</orcidid><orcidid>https://orcid.org/0000-0003-3022-4251</orcidid></search><sort><creationdate>20210419</creationdate><title>Flexible Workflow for Determining Critical Hazard and Exposure Scenarios for Assessing SLODs Risk in Urban Built Environments</title><author>Blanco Cadena, Juan Diego ; Salvalai, Graziano ; Lucesoli, Michele ; Quagliarini, Enrico ; D’Orazio, Marco</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c295t-3f7b341d1578bf62113852f9dab350b8c721a9aee62987d32d9a3a5dbecb8f8b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Air pollution</topic><topic>Case studies</topic><topic>Climate change</topic><topic>Decision making</topic><topic>Disasters</topic><topic>Emergency preparedness</topic><topic>Environmental conditions</topic><topic>Exposure</topic><topic>Human behavior</topic><topic>Mental task performance</topic><topic>Mitigation</topic><topic>Pollution effects</topic><topic>Remote sensing</topic><topic>Risk assessment</topic><topic>Simulation</topic><topic>Sustainability</topic><topic>Urban environments</topic><topic>Workflow</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Blanco Cadena, Juan Diego</creatorcontrib><creatorcontrib>Salvalai, Graziano</creatorcontrib><creatorcontrib>Lucesoli, Michele</creatorcontrib><creatorcontrib>Quagliarini, Enrico</creatorcontrib><creatorcontrib>D’Orazio, Marco</creatorcontrib><collection>CrossRef</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Blanco Cadena, Juan Diego</au><au>Salvalai, Graziano</au><au>Lucesoli, Michele</au><au>Quagliarini, Enrico</au><au>D’Orazio, Marco</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Flexible Workflow for Determining Critical Hazard and Exposure Scenarios for Assessing SLODs Risk in Urban Built Environments</atitle><jtitle>Sustainability</jtitle><date>2021-04-19</date><risdate>2021</risdate><volume>13</volume><issue>8</issue><spage>4538</spage><pages>4538-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>Urban Built Environments (UBE) are increasingly prone to SLow-Onset Disasters (SLODs) such as air pollution and heatwaves. The effectiveness of sustainable risk-mitigation solutions for the exposed individuals’ health should be defined by considering the effective scenarios in which emergency conditions can appear. Combining environmental (including climatic) conditions and exposed users’ presence and behaviors is a paramount task to support decision-makers in risk assessment. A clear definition of input scenarios and related critical conditions to be analyzed is needed, especially while applying simulation-based approaches. This work provides a methodology to fill this gap, based on hazard and exposure peaks identification. Quick and remote data-collection is adopted to speed up the process and promote the method application by low-trained specialists. Results firstly trace critical conditions by overlapping air pollution and heatwaves occurrence in the UBE. Exposure peaks (identified by remote analyses on the intended use of UBEs) are then merged to retrieve critical conditions due to the presence of the individuals over time and UBE spaces. The application to a significant case study (UBE in Milan, Italy) demonstrates the approach capabilities to identify key input scenarios for future human behavior simulation activities from a user-centered approach.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su13084538</doi><orcidid>https://orcid.org/0000-0001-6286-809X</orcidid><orcidid>https://orcid.org/0000-0003-3983-3803</orcidid><orcidid>https://orcid.org/0000-0002-1091-8929</orcidid><orcidid>https://orcid.org/0000-0003-3022-4251</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2071-1050 |
ispartof | Sustainability, 2021-04, Vol.13 (8), p.4538 |
issn | 2071-1050 2071-1050 |
language | eng |
recordid | cdi_proquest_journals_2562194357 |
source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; MDPI - Multidisciplinary Digital Publishing Institute |
subjects | Air pollution Case studies Climate change Decision making Disasters Emergency preparedness Environmental conditions Exposure Human behavior Mental task performance Mitigation Pollution effects Remote sensing Risk assessment Simulation Sustainability Urban environments Workflow |
title | Flexible Workflow for Determining Critical Hazard and Exposure Scenarios for Assessing SLODs Risk in Urban Built Environments |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T13%3A02%3A32IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Flexible%20Workflow%20for%20Determining%20Critical%20Hazard%20and%20Exposure%20Scenarios%20for%20Assessing%20SLODs%20Risk%20in%20Urban%20Built%20Environments&rft.jtitle=Sustainability&rft.au=Blanco%20Cadena,%20Juan%20Diego&rft.date=2021-04-19&rft.volume=13&rft.issue=8&rft.spage=4538&rft.pages=4538-&rft.issn=2071-1050&rft.eissn=2071-1050&rft_id=info:doi/10.3390/su13084538&rft_dat=%3Cproquest_cross%3E2562194357%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2562194357&rft_id=info:pmid/&rfr_iscdi=true |