Evidence map›Paper›PMID 35206502›Full record

ArticleInternational journal of environmental research and public health2022

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

Xiaoxuan Wei, Meng Ye, Liang Yuan, Wei Bi, Weisheng Lu

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In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiaoxuan WeiSchool of Management Science and Real Estate, International Research Center for Sustainable Built Environment, Chongqing University, Chongqing 400045, China.
Meng YeSchool of Economics and Management, Southwest Jiaotong University, Chengdu 610000, China.
Liang YuanDepartment of Real Estate and Construction, The University of Hong Kong, Pokfulam Rd, Hong Kong, China.
Wei BiDepartment of Real Estate and Construction, The University of Hong Kong, Pokfulam Rd, Hong Kong, China.
Weisheng LuDepartment of Real Estate and Construction, The University of Hong Kong, Pokfulam Rd, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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

Indexed as

CarbonData ScienceHong KongMotor VehiclesSolid WasteCarbonSolid Wastebig datacarbon emissionconstruction waste hauling trucksfreight characteristics

Identifiers

PMID35206502
PMCPMC8872571

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.