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)
Description
Summary: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