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 and Weisheng Lu
Additional contact information
Xiaoxuan Wei: School of Management Science and Real Estate, International Research Center for Sustainable Built Environment, Chongqing University, Chongqing 400045, China
Meng Ye: School of Economics and Management, Southwest Jiaotong University, Chengdu 610000, China
Liang Yuan: Department of Real Estate and Construction, The University of Hong Kong, Pokfulam Rd, Hong Kong, China
Wei Bi: Department of Real Estate and Construction, The University of Hong Kong, Pokfulam Rd, Hong Kong, China
Weisheng Lu: Department of Real Estate and Construction, The University of Hong Kong, Pokfulam Rd, Hong Kong, China

IJERPH, 2022, vol. 19, issue 4, 1-21

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 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.

Keywords: freight characteristics; construction waste hauling trucks; carbon emission; big data (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1660-4601/19/4/2318/pdf (application/pdf)
https://www.mdpi.com/1660-4601/19/4/2318/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:19:y:2022:i:4:p:2318-:d:751875

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().