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High-density mobile LiDAR for measuring urban streetscape features

This study investigates the feasibility of utilizing high-density mobile Light Detection and Ranging (LiDAR) to measure urban streetscape features. The results suggest that mobile LiDAR’s density allows for much smaller voxels than in the previous research and the ability to measure small urban stre...

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Detalles Bibliográficos
Autores principales: Golombek, Yaneev, Marshall, Wesley
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Palgrave Macmillan UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573576/
http://dx.doi.org/10.1057/s41289-021-00176-4
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author Golombek, Yaneev
Marshall, Wesley
author_facet Golombek, Yaneev
Marshall, Wesley
author_sort Golombek, Yaneev
collection PubMed
description This study investigates the feasibility of utilizing high-density mobile Light Detection and Ranging (LiDAR) to measure urban streetscape features. The results suggest that mobile LiDAR’s density allows for much smaller voxels than in the previous research and the ability to measure small urban streetscape features in 3D. This includes street trees, light/lampposts, street furniture, traffic and commercial signage, building window proportions, awnings, and enclosed courtyard restaurants. Moreover, mobile LiDAR facilitated measuring and categorizing these streetscape features in walkable, downtown-like streetscape environments. The ability to compartmentalize such streetscapes into smaller cubic foot voxels to be quantitatively measured and categorized could supplement or replace conventional audit-based streetscape measurement. This study introduces new methods—based on voxel data analysis—to compile accurate descriptive statistics of streetscape features and how they can be represented in 3D.
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spelling pubmed-85735762021-11-08 High-density mobile LiDAR for measuring urban streetscape features Golombek, Yaneev Marshall, Wesley Urban Des Int Original Article This study investigates the feasibility of utilizing high-density mobile Light Detection and Ranging (LiDAR) to measure urban streetscape features. The results suggest that mobile LiDAR’s density allows for much smaller voxels than in the previous research and the ability to measure small urban streetscape features in 3D. This includes street trees, light/lampposts, street furniture, traffic and commercial signage, building window proportions, awnings, and enclosed courtyard restaurants. Moreover, mobile LiDAR facilitated measuring and categorizing these streetscape features in walkable, downtown-like streetscape environments. The ability to compartmentalize such streetscapes into smaller cubic foot voxels to be quantitatively measured and categorized could supplement or replace conventional audit-based streetscape measurement. This study introduces new methods—based on voxel data analysis—to compile accurate descriptive statistics of streetscape features and how they can be represented in 3D. Palgrave Macmillan UK 2021-11-08 2022 /pmc/articles/PMC8573576/ http://dx.doi.org/10.1057/s41289-021-00176-4 Text en © The Author(s), under exclusive licence to Springer Nature Limited 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Golombek, Yaneev
Marshall, Wesley
High-density mobile LiDAR for measuring urban streetscape features
title High-density mobile LiDAR for measuring urban streetscape features
title_full High-density mobile LiDAR for measuring urban streetscape features
title_fullStr High-density mobile LiDAR for measuring urban streetscape features
title_full_unstemmed High-density mobile LiDAR for measuring urban streetscape features
title_short High-density mobile LiDAR for measuring urban streetscape features
title_sort high-density mobile lidar for measuring urban streetscape features
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573576/
http://dx.doi.org/10.1057/s41289-021-00176-4
work_keys_str_mv AT golombekyaneev highdensitymobilelidarformeasuringurbanstreetscapefeatures
AT marshallwesley highdensitymobilelidarformeasuringurbanstreetscapefeatures