School of Management Science and Real Estate, International Research Center for Sustainable Built Environment, Chongqing University, Chongqing 400045, China.
Department of Real Estate and Construction, The University of Hong Kong, Pokfulam Rd, Hong Kong, China.
Int J Environ Res Public Health. 2022 Feb 17;19(4):2318. doi: 10.3390/ijerph19042318.
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-eq emitted on working days, and 553 daily trips emitting 28.78 tons CO-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.
与用于集装箱或城市固体废物运输的同类车辆，或出租车和其他商业车辆的同行不同，建筑废物运输卡车（CWHT）的特点是运输从建筑工地到指定处理设施的建筑废物。根据建筑活动的强度，有许多 CWHT 在运行，对一个地区的交通系统和自然环境造成了巨大的影响。然而，这些影响很少被记录下来。本文通过利用香港 2015 年 5 月的 112942 次建筑废物运输旅行的大数据集，分析了 CWHT 的货运特征及其碳排放量。结果表明，CWHT 在工作日每天产生 4544 次旅行，排放 307.64 吨二氧化碳当量，在非工作日每天产生 553 次旅行，排放 28.78 吨二氧化碳当量。货运碳排放量与车辆类型、运输重量和旅行长度有关，而旅行长度是对碳排放量最有影响的指标。这项研究通过利用有价值的大数据集来理解货运特征，并为监测与建筑废物运输规划和碳排放相关的政策干预措施的有效性提供了重要的基准指标。
