Relationship between perceived and actual occupancy rates in urban settings

Arborists and tree care professionals assess tree risk by considering likelihood of impacting a target, likelihood of failure, and consequence of failure (should a target be impacted). For basic risk assessments, these three factors are typically assessed qualitatively using visual cues, though it i...

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Autores:
Tipo de recurso:
Fecha de publicación:
2016
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/23415
Acceso en línea:
https://doi.org/10.1016/j.ufug.2016.06.030
https://repository.urosario.edu.co/handle/10336/23415
Palabra clave:
Accuracy assessment
Environmental assessment
Environmental monitoring
Investment
Risk assessment
Risk perception
Road traffic
Species occurrence
Tree
Urban ecosystem
Urban planning
Visual cue
Risk assessment
Risk perception
Target occupancy
Traffic monitoring
Urban tree
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License
Abierto (Texto Completo)
id EDOCUR2_162146b5120986e97f9b03b469b49467
oai_identifier_str oai:repository.urosario.edu.co:10336/23415
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 619514e5-e41e-4a66-b969-93a34922c964-16ea4f360-530f-41db-af88-0a311046b8c6-12b5e473e-fc00-4a57-aefb-7fc4abc91f77-1c72ddb56-6954-4119-9543-77a1fc993da8-12d7c8bf2-67a1-46d2-a8e0-b82768ad86d9-12020-05-26T00:01:50Z2020-05-26T00:01:50Z2016Arborists and tree care professionals assess tree risk by considering likelihood of impacting a target, likelihood of failure, and consequence of failure (should a target be impacted). For basic risk assessments, these three factors are typically assessed qualitatively using visual cues, though it is possible to quantify target occupancy (as it relates to the likelihood of impacting a target) using traffic monitoring equipment. For this study, 115 arborists were surveyed to see if their visual assessments of occupancy (based on videos filmed during different seasons and time of day) correlated with the actual measured occupancy counts recorded at four different locations. While there was a significant relationship between visual target occupancy ratings and actual occupancy, ratings were improved when traffic counter data was provided. Additionally, 70% of respondents considered traffic counters a worthwhile investment as they believed they could increase the accuracy of target occupancy assessments. © 2016 Elsevier GmbHapplication/pdfhttps://doi.org/10.1016/j.ufug.2016.06.03016188667https://repository.urosario.edu.co/handle/10336/23415engElsevier GmbH201194Urban Forestry and Urban GreeningVol. 19Urban Forestry and Urban Greening, ISSN:16188667, Vol.19,(2016); pp. 194-201https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979681371&doi=10.1016%2fj.ufug.2016.06.030&partnerID=40&md5=d7fce194b121dcee46f846e168163fd7Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURAccuracy assessmentEnvironmental assessmentEnvironmental monitoringInvestmentRisk assessmentRisk perceptionRoad trafficSpecies occurrenceTreeUrban ecosystemUrban planningVisual cueRisk assessmentRisk perceptionTarget occupancyTraffic monitoringUrban treeRelationship between perceived and actual occupancy rates in urban settingsarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Klein, Ryan W.Koeser, Andrew K.Hauer, Richard J.Hansen, GailEscobedo, Francisco J.10336/23415oai:repository.urosario.edu.co:10336/234152022-05-02 07:37:21.495645https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Relationship between perceived and actual occupancy rates in urban settings
title Relationship between perceived and actual occupancy rates in urban settings
spellingShingle Relationship between perceived and actual occupancy rates in urban settings
Accuracy assessment
Environmental assessment
Environmental monitoring
Investment
Risk assessment
Risk perception
Road traffic
Species occurrence
Tree
Urban ecosystem
Urban planning
Visual cue
Risk assessment
Risk perception
Target occupancy
Traffic monitoring
Urban tree
title_short Relationship between perceived and actual occupancy rates in urban settings
title_full Relationship between perceived and actual occupancy rates in urban settings
title_fullStr Relationship between perceived and actual occupancy rates in urban settings
title_full_unstemmed Relationship between perceived and actual occupancy rates in urban settings
title_sort Relationship between perceived and actual occupancy rates in urban settings
dc.subject.keyword.spa.fl_str_mv Accuracy assessment
Environmental assessment
Environmental monitoring
Investment
Risk assessment
Risk perception
Road traffic
Species occurrence
Tree
Urban ecosystem
Urban planning
Visual cue
Risk assessment
Risk perception
Target occupancy
Traffic monitoring
Urban tree
topic Accuracy assessment
Environmental assessment
Environmental monitoring
Investment
Risk assessment
Risk perception
Road traffic
Species occurrence
Tree
Urban ecosystem
Urban planning
Visual cue
Risk assessment
Risk perception
Target occupancy
Traffic monitoring
Urban tree
description Arborists and tree care professionals assess tree risk by considering likelihood of impacting a target, likelihood of failure, and consequence of failure (should a target be impacted). For basic risk assessments, these three factors are typically assessed qualitatively using visual cues, though it is possible to quantify target occupancy (as it relates to the likelihood of impacting a target) using traffic monitoring equipment. For this study, 115 arborists were surveyed to see if their visual assessments of occupancy (based on videos filmed during different seasons and time of day) correlated with the actual measured occupancy counts recorded at four different locations. While there was a significant relationship between visual target occupancy ratings and actual occupancy, ratings were improved when traffic counter data was provided. Additionally, 70% of respondents considered traffic counters a worthwhile investment as they believed they could increase the accuracy of target occupancy assessments. © 2016 Elsevier GmbH
publishDate 2016
dc.date.created.spa.fl_str_mv 2016
dc.date.accessioned.none.fl_str_mv 2020-05-26T00:01:50Z
dc.date.available.none.fl_str_mv 2020-05-26T00:01:50Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.ufug.2016.06.030
dc.identifier.issn.none.fl_str_mv 16188667
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/23415
url https://doi.org/10.1016/j.ufug.2016.06.030
https://repository.urosario.edu.co/handle/10336/23415
identifier_str_mv 16188667
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 201
dc.relation.citationStartPage.none.fl_str_mv 194
dc.relation.citationTitle.none.fl_str_mv Urban Forestry and Urban Greening
dc.relation.citationVolume.none.fl_str_mv Vol. 19
dc.relation.ispartof.spa.fl_str_mv Urban Forestry and Urban Greening, ISSN:16188667, Vol.19,(2016); pp. 194-201
dc.relation.uri.spa.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979681371&doi=10.1016%2fj.ufug.2016.06.030&partnerID=40&md5=d7fce194b121dcee46f846e168163fd7
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv Elsevier GmbH
institution Universidad del Rosario
dc.source.instname.spa.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.spa.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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