Mapping the Knowledge Domain of Smart City Development to Urban Sustainability: A Scientometric Study

Wu, Zezhou; Jiang, Mingyang; Li, Heng

doi:10.1080/10630732.2020.1777045

Cited by 39 publications

(26 citation statements)

References 96 publications

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“…The bibliographic analysis is based on a general methodological flowchart [ 179 ] which involves three steps, namely; data acquisition, followed by data processing, and, finally, visual output. The justification for following the flows contained in this framework is that they are reproducible, flexible and appear in other bibliographical mapping papers using the same method [ 97 , 251 ].…”

Section: Methodsologymentioning

confidence: 99%

Bibliographic mapping of post-consumer plastic waste based on hierarchical circular principles across the system perspective

Sitadewi

Yudoko

Okdinawati

2021

Heliyon

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The current dominating production and consumption model is based on the linear economy (LE) model, within which raw materials are extracted-processed-consumed-discarded. A circular economy (CE) constitutes a regenerative systemic approach to economic development which views waste as a valuable resource to be reprocessed back into the economy. In order to understand the circular strategy for a systemic change from an LE to a CE as a means of resolving the issue of plastic waste, this research aims to map current circular strategy trends across the system perspective contained in the literature relating to plastic CE literature. The novelty of the research lies in the mapping and review of the distribution of comprehensive circular strategies within the 9R framework across the entire system perspective (e.g. micro-meso-macro) down to its sub-levels in the literature on a plastic CE. The bibliographic mapping and systematic literature review iindicateed that the majority of the research focused on recycle (R8), followed by refuse (R0), reuse (R3), and reduce (R2). Certain circular strategies are more appropriate to handling certain plastic materials, despite CE's favoring of prevention and recycling over incineration. Recover (R9) is often used to process mixed and contaminated plastic. Recycling (R8) is the most popular circular strategy and the most applicable to plastic material with three recycle trends, namely; mechanical recycling, chemical recycling and DRAM (Distributed-Recycling-and-Additive-Manufacturing). Prolonging the product life through refurbishing (R5) is not applicable to plastic due to its material limitations. Reduce (R2) popularity as circular strategy reflects the preference to reduce consumption, either by launching campaigns to prevent waste or increasing production efficiency. Research on Rethink (R1) has largely focused on rethinking product design, consumer and organization behavior and perceptions of CE. Refuse (R0) strategy is an adoption of bio-based plastics which have a similar function to fossil-based plastics.

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Section: Methodsologymentioning

confidence: 99%

Bibliographic mapping of post-consumer plastic waste based on hierarchical circular principles across the system perspective

Sitadewi

Yudoko

Okdinawati

2021

Heliyon

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“…Social network analysis is an important method and a norm for analysing the social network properties and structures of different social units (Deng et al, 2021;Wolfe, 1997). An element is called a 'point', and the relationship between points is represented by a line connecting these two points (Sun et al, 2020;Wu et al, 2021). The strength of the relationship is expressed by the thickness or weight of the line (Ennis and West, 2013).…”

Section: Research Methods (1) Input-output Analysismentioning

confidence: 99%

Water lock-in within China’s economic industry based on the input–output method and social network analysis

Wang

Wei

2021

Environ Sci Pollut Res

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As one of the countries with the most severe water resource problems, China faces enormous challenges in the intensive use of water resources. Rapid economic development has led to serious waste of water resources in the industry, resulting in path dependence on water-consuming technologies, namely the concept of 'water lock-in'. This study aims to estimate the water lock-in effects in various industries in China from 1997 to 2017. To this end, a novel combination of the input-output analysis and social network analysis methods is used to calculate 'integrated, intra-sectorial and inter-sectorial' water lockin, identify the complex water resource dependence relationship and explore the dynamic evolution process of the lock-in mechanism. The research results are as follows. (1) From 1997 to 2017, the integrated, intra-sectorial and inter-sectorial water lock-in coefficients decreased by 82.08%, 77.92% and 83.14%, respectively. (2) Non-metallic minerals and other mining products underwent the largest decline in water lock-in within the sectors, whereas coal, oil and gas extraction products underwent the most significant decline in water lock-in between the sectors. (3) Water lock-in conduction is most durable and obvious from S01 (agriculture, forestry, fishery products and services) to S06 (textiles). Policy recommendations are suggested to realise the water-unlocking path.Keywords Water lock-in • Input-output analysis method • Social network analysis • Unlock • China * Yigang Wei

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“…Therefore, contractors will pay more attention to construction quality as producing standardized and highprecision prefabricated components can effectively avoid errors caused by manual labor in traditional construction. Furthermore, prefabricated construction technology can effectively optimize construction structure and improve construction quality (54,55).…”

Section: Enterprise Internal Environmentmentioning

confidence: 99%

Exploring Key Factors for Contractors in Opening Prefabrication Factories: A Chinese Case Study

Zhang

Xiang

Zhong

et al. 2022

Front. Public Health

Self Cite

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Adoption of prefabrication is essential for improving the urban built environment. However, the existing prefabrication market in China is far from mature. As the stakeholder who conducts construction activities, the contractor is facing a dilemma of lacking steady prefabricated components supply. In this circumstance, a potential solution is that contractors open their own prefabrication factories to guarantee stable component supply. The aim of this research is exploring the key factors for contractors to open prefabrication factories. Firstly, a total of 28 influencing factors were identified from literature. Then, the identified factors were divided into four categories: policy environment, market environment, technological environment, and enterprise internal environment. Through interviews with experienced professionals, a total of 19 factors were selected for future analysis. Based on the 19 factors, a questionnaire was designed and distributed to the experts to rate the degree of mutual influences. The collected data were analyzed using Ucinet6.0 software, and the adjacency matrix and the visual models were established. Finally, through the analysis of node centrality, betweenness centrality, and closeness centrality, the four key influencing factors were determined including mandatory implementation policy, precast concrete component's price, market demand, and contractor's strategic objectives. The results of this study could assist contractors in making decisions of opening their own prefabrication factories toward more sustainable environment.

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Mapping the Knowledge Domain of Smart City Development to Urban Sustainability: A Scientometric Study

Cited by 39 publications

References 96 publications

Bibliographic mapping of post-consumer plastic waste based on hierarchical circular principles across the system perspective

Bibliographic mapping of post-consumer plastic waste based on hierarchical circular principles across the system perspective

Water lock-in within China’s economic industry based on the input–output method and social network analysis

Exploring Key Factors for Contractors in Opening Prefabrication Factories: A Chinese Case Study

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