"淮南为橘,淮北为枳"?香港建筑废弃物管理经验于内地的适用性研究

基本信息
批准号:71273219
项目类别:面上项目
资助金额:50.00
负责人:吕伟生
学科分类:
依托单位:香港大学深圳研究院
批准年份:2012
结题年份:2017
起止时间:2013-01-01 - 2017-12-31
项目状态: 已结题
项目参与者:申立银,叶堃晖,张钰,王鸿迪,曹白露,梁聪
关键词:
建筑废弃物人工神经网络系统思想香港中国内地
结项摘要

With the deepening of the unprecedented urbanization in China, there is a huge demand of construction, which in turn generates a huge amount of construction waste. It was estimated that new construction generates 100 million ton of waste while demolition generates 5 times of that amount per annual in China. Construction waste management and its impacts on society, economy, and the natural environment has become a pressing issue that needs to be addressed. This does not bode well for Hong Kong. According to EPD's statistics, the total municipal solid waste (MSW) (domestic, commercial, and industrial waste) disposal of at landfills reached 8,963 tonne per day (tpd) and overall construction waste hit 3,121 tpd in 2009 (EPD, 2009). Various technical, economical, and managerial measures, which are largely based on the waste hierarchy including reduction, reuse, and recycle (3R), have been implemented in Hong Kong to deal with the construction waste. In line with these developments, a rich body of experience has been developed for effective construction waste management (CWM). It is considered that this experience provides valuable references to developing effective CWM practices in Mainland China. ..The aim of this study is to identify effective policy, technical and economical CWM measures in Mainland China. It is envisaged that these measures, and waste generation, against the broader Political, Economic, Social, Technological, Environmental, and Legal (PESTEL) contexts, will form a complicatedly dynamic system. Based on the systems thinking, an artificial neural network (ANN) model is to be developed to mimic the system and embrace its complexity. A large set of longitudinal panel data of the factors will be gleaned from various sources to "train" the model. Based on the trained ANN model, various measures will be considered in respect of their effectiveness in alleviating the construction waste management problems in Mainland China...This research project will have both academic and practical value. Academically, it links the various theories on CWM (e.g. stakeholder theory, "polluter pays principle", 3R CWM hierarchy) with the pressing CWM issues in China. It is anticipated that China's characteristics such as large scale, massive volume, will lead to an improved understanding of how these CWM theories can be supported or refuted in a unique context. Practically, the project can assist various local authorities to develop more effective CWM measures in China.

随着我国城镇化进程不断深入,大规模建设活动所产生的建筑废弃物已成为我国一个亟待解决的难题。由于土地匮乏,香港早在上世纪80年代就开始实施建筑废弃物管理,至今已积累了丰富的实践经验。香港建筑废弃物管理经验是否适用于内地?本课题拟基于系统思想,建立人工神经元网络模型,以虚拟实验室为仿真手段深入研究内地与香港在政治、经济、社会、技术、环境和法治等方面的异同,在剖析香港建筑废弃物管理成熟经验的基础上,探讨这些经验的内在作用机理,进而分析其对内地建筑废弃物管理的启发意义与适用性。本课题基于研究团队在香港建筑废弃物管理方面的研究经验,但并不盲目推崇其为"先验"标准,而是充分考虑政策移植中"淮南为橘,淮北为枳"的现象,甄别对内地行之有效的废弃物管理模式。研究成果不仅为内地废弃物管理决策提供科学依据,也可在相当程度上拓展建筑废弃物管理和政策移植的有关理论。

项目摘要

随着我国城镇化进程不断深入,大规模建设活动所产生的建筑废弃物已成为我国一个难题。由于土地匮乏,香港早在上世纪80 年代就开始实施建筑废弃物管理,至今已积累了丰富的实践经验。香港建筑废弃物管理经验是否适用于内地?本课题基于系统思想,建立人工神经元网络模型,以虚拟实验室为仿真手段深入研究内地与香港在政治、经济、社会、技术、环境和法治等方面的异同,在剖析香港建筑废弃管理成熟经验的基础上,探讨了这些经验的内在作用机理,进而分析了其对内地建筑废弃物管理的启发意义与适用性。该研究界定出了中国内地与香港的外界环境的确有所不同,其建筑废弃物产生的量也差异很大,地区的差异对建筑废弃物产生的影响非常大,验证了“淮南为橘,淮北为枳”的现象,提出了对内地行之有效的废弃物管理策略。 研究成果不仅为内地废弃物管理决策提供科学依据,也拓展了建筑废弃物管理和政策移植的有关理论。

项目成果
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数据更新时间:2023-05-31

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