Lu Weisheng, Yuan Liang, Lee Wendy M W
Department of Real Estate and Construction, Faculty of Architecture, the University of Hong Kong, HKSAR, Hong Kong.
Environ Sci Pollut Res Int. 2022 Jul;29(33):50867-50880. doi: 10.1007/s11356-022-19387-5. Epub 2022 Mar 3.
This research aims to understand the loading patterns of construction waste hauling trucks in Hong Kong and the factors shaping these patterns. It does so by triangulating the analytical results of big data collected from secondary sources and qualitative data from interviews. Firstly, based on the literature review and our engagement with the industry, four hypotheses on the nexus between "loading pattern" and the factors of (1) vehicle, (2) permitted gross vehicle weight, (3) commodity, and (4) ownership. Then, the hypotheses are tested with combined null hypothesis significance test and effect size measure using 13 million construction waste transportation records. Finally, the results are triangulated with interview data to empirically validate the nexus while providing sensible explanations to them. We find that the four hypotheses are all supported. Distinct loading patterns are presented by different types of (1) construction waste hauling trucks with different (2) permitted gross vehicle weights, (3) types of construction waste transported, and (4) ownership. These findings provide valuable evidence for more targeted interventions, e.g., introducing public policies or hauling operation optimization through the avoidance of excessive underloading or overloading.
本研究旨在了解香港建筑废物运输车辆的装载模式以及形成这些模式的因素。研究通过对从二手来源收集的大数据分析结果与访谈中的定性数据进行三角互证来实现这一目的。首先，基于文献综述以及我们与行业的接触，提出了关于“装载模式”与以下因素之间关系的四个假设：（1）车辆；（2）允许的车辆总重；（3）货物；（4）所有权。然后，使用1300万条建筑废物运输记录，通过联合零假设显著性检验和效应量测量对这些假设进行检验。最后，将结果与访谈数据进行三角互证，以实证验证这种关系，同时对其作出合理的解释。我们发现所有四个假设均得到支持。不同类型的（1）建筑废物运输车辆，因其（2）允许的车辆总重、（3）运输的建筑废物类型以及（4）所有权不同，呈现出不同的装载模式。这些发现为更具针对性的干预措施提供了有价值的证据，例如通过避免过度装载不足或超载来引入公共政策或优化运输作业。
