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Understanding loading patterns of construction waste hauling trucks: triangulation between big quantitative and
Weisheng Lu1, Liang Yuan2, Wendy M W Lee1
1Department of Real Estate and Construction, Faculty of Architecture, the University of Hong Kong, HKSAR, Hong Kong.
Construction waste hauling truck loading patterns in Hong Kong vary significantly based on truck type, weight, waste commodity, and ownership. Understanding these factors aids in optimizing operations and preventing underloading or overloading.
Area of Science:
- Environmental Science
- Transportation Engineering
- Waste Management
Background:
- Construction waste management is a critical aspect of urban sustainability.
- Understanding hauling truck loading patterns is essential for efficient waste logistics and regulatory compliance.
Purpose of the Study:
- To investigate the loading patterns of construction waste hauling trucks in Hong Kong.
- To identify key factors influencing these loading patterns, including vehicle characteristics, gross vehicle weight, waste commodity, and ownership.
Main Methods:
- Triangulation of big data analytics from 13 million transportation records with qualitative interview data.
- Hypothesis testing using null hypothesis significance test and effect size measure.
Main Results:
- All four hypotheses were supported, indicating significant differences in loading patterns.
- Distinct loading patterns were observed across different truck types, permitted gross vehicle weights, construction waste commodities, and ownership structures.
Conclusions:
- The study provides empirical evidence on the factors influencing construction waste hauling truck loading patterns in Hong Kong.
- Findings can inform targeted interventions for public policy and hauling operation optimization to avoid underloading and overloading.
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