Implementation and integration of sustainable development within a management framework is the main problem of urban regeneration projects. Therefore, this paper aims to develop a sustainable heritage-led urban regeneration planning framework, which will act as an urban regeneration project life cycle model and aid sustainable planning and decision-making processes for project managers. First, a literature review is used to conceptualise the first version of the sustainable planning framework. Then, it is validated by conducting interviews with professionals in Northern Cyprus. Sustainable heritage-led urban regeneration planning problems exist in the case study region. Therefore, the data collected for this research is significant to the research problem. Results showed that there is a lack of knowledge towards heritage-led urban regeneration among the local community and it is the main source of sustainable planning problems. Therefore, a questionnaire survey is conducted to validate this problem. The results validated that there is a sustainability perception difference between the local community and professionals, and the knowledge level of the local community was not satisfactory. Finally, a knowledge management system is introduced in the final version of the framework in order to empower stakeholders, and the "eye of sustainable planning" is introduced. Perception differences between the local community and professionals and the lack of knowledge of the local community towards heritage-led urban regeneration is introduced by this research. This study is limited to heritage-led regeneration projects and future studies may extend the scope of this study to different countries.
The intensive and repetitive use of touch-screens may pose significant problems, such as ergonomic pain or musculoskeletal disorders. This research aims to study the effect of using mobile touch-screen devices on the human musculoskeletal system during the COVID-19 pandemic lockdown and to develop a model for classifying the effects of musculoskeletal stress (pain and discomfort) on the performance of educational activities. The Cornell musculoskeletal discomfort questionnaire was given to 544 participants (71% males and 29% females). An Association Rule Mining approach was applied to illustrate the correlation, and multiple machine-learning models – used to predict the impact of pain and discomfort on different body regions – were applied to determine risk levels that might interfere with the ability to perform daily activities. Most musculoskeletal disorders were reported in the neck region and lower back (64.33% and 55.33% respectively), followed by upper back (44.30%) and the right shoulder (38%). Analysis of association rules showed high positive correlation between the lower back and the neck (support = 43%, confidence = 77%). Additionally, it was found that the radial basis function network has the highest accuracy in prediction (84%). The results of the radial basis function model showed that interference in educational activities can be predicted by using pain indicators in body parts resulting from touch-screen device usage. Keywords association rule mining approach; machine learning; educational activities; mobile touch screen; musculoskeletal disorders
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