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Analyzing the Freight Characteristics and Carbon Emission of Construction Waste Hauling Trucks: Big Data Analytics of Hong Kong

Unlike their counterparts that are used for container or municipal solid waste hauling, or their peers of taxies and other commercial vehicles, construction waste hauling trucks (CWHTs) are heterogeneous in that they transport construction waste from construction sites to designated disposal facilit...

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Detalles Bibliográficos
Autores principales: Wei, Xiaoxuan, Ye, Meng, Yuan, Liang, Bi, Wei, Lu, Weisheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872571/
https://www.ncbi.nlm.nih.gov/pubmed/35206502
http://dx.doi.org/10.3390/ijerph19042318
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author Wei, Xiaoxuan
Ye, Meng
Yuan, Liang
Bi, Wei
Lu, Weisheng
author_facet Wei, Xiaoxuan
Ye, Meng
Yuan, Liang
Bi, Wei
Lu, Weisheng
author_sort Wei, Xiaoxuan
collection PubMed
description Unlike their counterparts that are used for container or municipal solid waste hauling, or their peers of taxies and other commercial vehicles, construction waste hauling trucks (CWHTs) are heterogeneous in that they transport construction waste from construction sites to designated disposal facilities. Depending on the intensity of the construction activities, there are many CWHTs in operation, imposing massive impacts on a region’s transportation system and natural environment. However, such impacts have rarely been documented. This paper has analyzed CWHTs’ freight characteristics and their carbon emission by harnessing a big dataset of 112,942 construction waste transport trips in Hong Kong in May 2015. It has been observed that CWHTs generate 4544 daily trips with 307.64 tons CO(2)-eq emitted on working days, and 553 daily trips emitting 28.78 tons CO(2)-eq on non-working days. Freight carbon emission has been found to be related to the vehicle type, transporting weight, and trip length, while the trip length is the most influential metric to carbon emission. This research contributes to the understanding of freight characteristics by exploiting a valuable big dataset and providing important benchmarking metrics for monitoring the effectiveness of policy interventions related to construction waste transportation planning and carbon emission.
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spelling pubmed-88725712022-02-25 Analyzing the Freight Characteristics and Carbon Emission of Construction Waste Hauling Trucks: Big Data Analytics of Hong Kong Wei, Xiaoxuan Ye, Meng Yuan, Liang Bi, Wei Lu, Weisheng Int J Environ Res Public Health Article Unlike their counterparts that are used for container or municipal solid waste hauling, or their peers of taxies and other commercial vehicles, construction waste hauling trucks (CWHTs) are heterogeneous in that they transport construction waste from construction sites to designated disposal facilities. Depending on the intensity of the construction activities, there are many CWHTs in operation, imposing massive impacts on a region’s transportation system and natural environment. However, such impacts have rarely been documented. This paper has analyzed CWHTs’ freight characteristics and their carbon emission by harnessing a big dataset of 112,942 construction waste transport trips in Hong Kong in May 2015. It has been observed that CWHTs generate 4544 daily trips with 307.64 tons CO(2)-eq emitted on working days, and 553 daily trips emitting 28.78 tons CO(2)-eq on non-working days. Freight carbon emission has been found to be related to the vehicle type, transporting weight, and trip length, while the trip length is the most influential metric to carbon emission. This research contributes to the understanding of freight characteristics by exploiting a valuable big dataset and providing important benchmarking metrics for monitoring the effectiveness of policy interventions related to construction waste transportation planning and carbon emission. MDPI 2022-02-17 /pmc/articles/PMC8872571/ /pubmed/35206502 http://dx.doi.org/10.3390/ijerph19042318 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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/).
spellingShingle Article
Wei, Xiaoxuan
Ye, Meng
Yuan, Liang
Bi, Wei
Lu, Weisheng
Analyzing the Freight Characteristics and Carbon Emission of Construction Waste Hauling Trucks: Big Data Analytics of Hong Kong
title Analyzing the Freight Characteristics and Carbon Emission of Construction Waste Hauling Trucks: Big Data Analytics of Hong Kong
title_full Analyzing the Freight Characteristics and Carbon Emission of Construction Waste Hauling Trucks: Big Data Analytics of Hong Kong
title_fullStr Analyzing the Freight Characteristics and Carbon Emission of Construction Waste Hauling Trucks: Big Data Analytics of Hong Kong
title_full_unstemmed Analyzing the Freight Characteristics and Carbon Emission of Construction Waste Hauling Trucks: Big Data Analytics of Hong Kong
title_short Analyzing the Freight Characteristics and Carbon Emission of Construction Waste Hauling Trucks: Big Data Analytics of Hong Kong
title_sort analyzing the freight characteristics and carbon emission of construction waste hauling trucks: big data analytics of hong kong
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8872571/
https://www.ncbi.nlm.nih.gov/pubmed/35206502
http://dx.doi.org/10.3390/ijerph19042318
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