Building stock mining for a circular economy: A systematic review on application of GIS and remote sensing

IF 5.4 Q1 ENVIRONMENTAL SCIENCES

Resources, conservation & recycling advances Pub Date : 2023-10-01 DOI:10.1016/j.rcradv.2023.200144

Dilakshan Rajaratnam , Rodney A. Stewart , Tingting Liu , Abel Silva Vieira

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引用次数: 2

Abstract

Existing building stocks (BS) were not designed or constructed with circular economic (CE) strategies. Hence, recycling is vital in enabling CE in such BS. However, the lack of information about the scale and scope of the forecasted BS waste and its geo-located data hinders decisions on the selection of locations for recycling centres and proper landfills and evidence-based policy developments. BS mining, assisted with geographic information systems (GIS) and remotely sensed data are ideal for generating BS data and assisting end-of-life decisions for CE. However, the number of studies that have compared different BS data collection methods and analysis techniques is limited. This study investigates the research maturity of GIS, remote sensing, spatial analysis, and complementary methods adopted in BS mining and CE studies using a systematic literature review. As a critical outcome, a conceptual framework was developed to assist future BS mining, CE studies and industry practice.

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面向循环经济的建筑存量开采——GIS和遥感应用系统综述

现有建筑存量（BS）未采用循环经济（CE）策略进行设计或建造。因此，回收对于在此类BS中实现CE至关重要。然而，由于缺乏有关预测BS废物的规模和范围及其地理位置数据的信息，阻碍了回收中心和适当垃圾填埋场的选址以及循证政策制定的决策。在地理信息系统（GIS）和遥感数据的辅助下，BS挖掘是生成BS数据和辅助CE报废决策的理想选择。然而，比较不同BS数据收集方法和分析技术的研究数量有限。本研究通过系统的文献综述，调查了地理信息系统、遥感、空间分析以及BS采矿和CE研究中采用的互补方法的研究成熟度。作为一项重要成果，制定了一个概念框架，以协助未来的BS采矿、CE研究和行业实践。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Resources, conservation & recycling advances Environmental Science (General)

CiteScore

11.70

自引率

0.00%

发文量

审稿时长

76 days