• The impact of sustainability awareness and moral values on environmental laws

      Li, Rita Yi Man; Li, Yi Lut; Crabbe, M. James C.; Manta, Otilia; Shoaib, Muhammad; Hong Kong Shue Yan University; Hastings & Co.; Oxford University; University of Bedfordshire; Shanxi University; et al. (MDPI, 2021-05-24)
      We argue that environmental legislation and regulation of more developed countries reflects significantly their moral values, but in less developed countries it differs significantly from their moral values. We examined this topic by using the keywords “sustainability” and “sustainable development”, studying web pages and articles published between 1974 to 2018 in Web of Science, Scopus and Google. Australia, Zimbabwe, and Uganda were ranked as the top three countries in the number of Google searches for sustainability. The top five cities that appeared in sustainability searches through Google are all from Africa. In terms of academic publications, China, India, and Brazil record among the largest numbers of sustainability and sustainable development articles in Scopus. Six out of the ten top productive institutions publishing sustainable development articles indexed in Scopus were located in developing countries, indicating that developing countries are well aware of the issues surrounding sustainable development. Our results show that when environmental law reflects moral values for betterment, legal adoption is more likely to be successful, which usually happens in well developed regions. In less-developed states, environmental law differs significantly from moral values, such that changes in moral values are necessary for successful legal implementation. Our study has important implications for the development of policies and cultures, together with the enforcement of environmental laws and regulations in all countries.
    • Models for oil refinery waste management using determined and fuzzy conditions

      Zhumadillayeva, Ainur; Orazbayеv, Batyr; Santeyeva, Saya; Dyussekeyev, Kanagat; Li, Rita Yi Man; Crabbe, M. James C.; Yue, Xiao-Guang; L.N.Gumilyov Eurasian National University, Kazakhstan; Hong Kong Shue Yan University; Rajamangala University of Technology Rattanakosin, Thailand; et al. (MDPI, 2020-06-03)
      This study developed models to solve problems of optimisation, production, and consumption in waste management based on methods of system analysis. Mathematical models of the problems of optimisation and sustainable waste management in deterministic conditions and in a fuzzy environment were formulated. The income from production was maximised considering environmental standards that apply to the field of macroeconomics and microeconomics. The proposed approach used MANAGER software to formalise and solve the problem of revenue optimisation with production waste management to optimise the production of oil products with waste management at a specific technological facility of the Atyrau oil refinery in Kazakhstan. Based on the combined application of the principles of maximin and Pareto optimality, a formulation of the problem of production optimisation with waste management was obtained and a heuristic algorithm for solving the formulated fuzzy optimisation problem with waste management was developed.
    • Safety knowledge sharing on Twitter: a social network analysis

      Yao, Qi; Li, Rita Yi Man; Song, Lingxi; Crabbe, M. James C.; Chongqing Technology and Business University; Hong Kong Shue Yan University; Rajamangala University of Technology Tawan-Ok; Oxford University; University of Bedfordshire (Elsevier, 2021-07-28)
      Many studies show that unsafe behavior is the main cause of construction accidents. Safety education and training are effective means to minimise people’s unsafe behaviors. Apart from traditional face-to-face construction knowledge sharing, social media is a good tool because it is convenient, efficient, and widely used. We applied both social network analysis and sentiment analysis to investigate knowledge sharing on Twitter. Our study is a novel attempt to understand social structure of “construction safety”- related twitter networks and the opinion leaders. We selected and analyzed 6561 tweets of three users’ networks on Twitter – “construction safety”, “construction health” and “construction accident”. We found that three networks had low density and many isolated vertices, which showed that users did not actively interact with each other. The opinion leaders in this study were mostly organizations or government agencies. The top one is “cif_ireland”, the Irish construction industry’s representative body, the Construction Industry Federation. 3200 Tweets of the top opinion leader were analyzed through graph metrics calculation, cluster analysis, sentiment analysis, and correlation analysis. The opinion leader used Twitter as a medium to disseminate the latest safety news. Thus, we may use Twitter to stimulate people’s interest on construction safety topics, share construction safety knowledge, opinions and ideas. Besides, our results showed that sentiment valence had no correlation with number of favorites or retweets. Nevertheless, there was a positive correlation between favorites and retweets.