A systematic approach to identify, characterize, and prioritize the data needs for quantitative sustainable disaster debris management
A systematic approach to identify, characterize, and prioritize the data needs for quantitative sustainable disaster debris management
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DOI：
10.1016/j.resconrec.2022.106174
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发表时间：
2022-01-18
影响因子：
13.2
通讯作者：
Derrible, Sybil
中科院分区：
文献类型：
--
作者：
Jalloul, Hiba;Choi, Juyeong;Derrible, Sybil
回收和再利用是灾害碎片管理的主要组成部分，具有显着的环境、经济和社会效益。为了制定定量和可持续的碎片管理实践，需要广泛的数据。现有研究尚未全面描述可持续碎片管理定量评估的数据和分析要求，这限制了适当的灾害数据收集，并限制了在现有和新兴碎片管理途径中有效量化、表征和分配灾害废物的方法的开发。本研究旨在通过回顾以前的调查来填补这一空白，以确定定量评估可持续灾害碎片管理的关键和实际方面所需的数据。文献综述表明，灾后碎片管理最重要的数据涉及 i) 碎片的数量和成分； ii) 临时碎片管理场地的可用性； iii) 危害和环境问题； iv) 经济学； v) 社会考虑； vi) 资助政策。考虑到不同灾害碎片数据类型的时间敏感性，提出了及时收集数据的四阶段规划框架：灾前、灾后响应、短期恢复和长期恢复。由于已确定大量数据需求和有限的数据收集资源，特别是在灾后阶段，社交网络分析 (SNA) 用于定量评估数据需求的相对重要性。总体而言，建议开发全面的碎片管理清单，汇总不同的灾前数据集，并进行综合的专门勘察调查以收集灾后数据，其中大部分数据被确定为高度优先。
Recycling and reuse are major components of disaster debris management with significant environmental, economic, and social benefits. To develop quantitative and sustainable debris management practices, a broad range of data is required. Existing studies have not comprehensively delineated the data and analysis requirements for quantitative assessment of sustainable debris management, which limits proper disaster data collection and restricts the development of approaches to efficiently quantify, characterize, and allocate disaster waste among existing and emerging debris management pathways. This study aimed to fill this gap by reviewing previous investigations to identify the data required to quantitatively assess both critical and practical aspects of sustainable disaster debris management. The literature review indicated that the most significant data for post disaster debris management relate to i) the amount and composition of debris; ii) availability of temporary debris management sites; iii) hazards and environmental concerns; iv) economics; v) social considerations; and vi) funding policies. Considering the time-sensitive nature of different disaster debris data types, a four-phase planning framework is proposed for timely collection of data: pre-disaster, post-disaster response, short-term recovery, and long-term recovery. With significant identified data needs and finite amount of resources for data collection, particularly during post-disaster phases, social network analysis (SNA) is used to quantitively evaluate the relative importance of the data needs. Overall, it is recommended to develop comprehensive debris management inventories that aggregate diverse pre-disaster datasets, along with integrated specialized reconnaissance investigations to collect post-disaster data, most of which are identified as high priority.