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DOI10.1016/j.jclepro.2022.131604
Promoting digital transformation in waste collection service and waste recycling in Moscow (Russia): Applying a circular economy paradigm to mitigate climate change impacts on the environment
Maiurova, Aleksandra; Kurniawan, Tonni Agustiono; Kustikova, Marina; Bykovskaia, Elena; Othman, Mohd Hafiz Dzarfan; Singh, D.; Goh, Hui Hwang
发表日期2022
ISSN0959-6526
EISSN1879-1786
卷号354
英文摘要Due to industrialization, recently Moscow (Russia) has been inundated with municipal solid waste (MSW), while the capital does not have an organized waste collection and waste recycling system. Digitalization enables smart cities such as Moscow to do more work with less resources. This article identifies and analyzes the existing waste management facilities in Moscow with respect to drawbacks and the ways forward to mitigate the bottlenecks. To improve its waste management, lessons drawn from Berlin's experiences in waste management are discussed to inspire a transformation in the city's waste sector in the framewok of resource recovery. In line with the 2030 UN Agenda, this work proposes a digitalization to accelerate a societal transition through waste recycling industry. Its global relevance is elaborated by presenting a perspective of digitalization in waste management practices. In this work, case-study was selected as the research method to provide a means to investigate a complex waste problem in Moscow and Berlin (Germany). It was evident from a cleaner production paradigm that digital technology can minimize the amount of unrecycled MSW, while conserving raw materials and reducing operational cost and GHG emissions. Digitalization builds cities' resilience by strengthening local waste management practices to respond to the Covid-19 global pandemic. In Moscow, the transition towards the digitalization of waste recycling through informal waste sectors has created 5,000 new jobs that reduces unemployment rate. This maximizes pick up time and enhances efficiency with a lower cost of operating trucks up to 75%. A convolutional neural network-based identification system that classifies identified materials yields almost perfect accuracy. A single robot arm can handle four varying fractions of construction and demolition waste with 99% of purity. Robotic deployment could reduce the volume of unrecycled waste by 20%. This could be replicated worldwide to resist the pressure of resource consumption and deliver socio-economic and environmental benefits.
英文关键词Climate change; Digitalization; Resource recovery; Smart city; Zero emission
语种英语
WOS研究方向Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS类目Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号WOS:000883124500001
来源期刊JOURNAL OF CLEANER PRODUCTION
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/280769
作者单位ITMO University; Xiamen University; Universiti Teknologi Malaysia; ITMO University; Guangxi University
推荐引用方式
GB/T 7714
Maiurova, Aleksandra,Kurniawan, Tonni Agustiono,Kustikova, Marina,et al. Promoting digital transformation in waste collection service and waste recycling in Moscow (Russia): Applying a circular economy paradigm to mitigate climate change impacts on the environment[J],2022,354.
APA Maiurova, Aleksandra.,Kurniawan, Tonni Agustiono.,Kustikova, Marina.,Bykovskaia, Elena.,Othman, Mohd Hafiz Dzarfan.,...&Goh, Hui Hwang.(2022).Promoting digital transformation in waste collection service and waste recycling in Moscow (Russia): Applying a circular economy paradigm to mitigate climate change impacts on the environment.JOURNAL OF CLEANER PRODUCTION,354.
MLA Maiurova, Aleksandra,et al."Promoting digital transformation in waste collection service and waste recycling in Moscow (Russia): Applying a circular economy paradigm to mitigate climate change impacts on the environment".JOURNAL OF CLEANER PRODUCTION 354(2022).
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