Principles for developing an effective framework to control minerals and rocks extraction impacts, mitigate waste and optimise sustainable quarries management
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AbstractAn investigation into how and why frameworks are developed led to the understanding of the facts that most frameworks or guides are developed for specific reasons. However, this study reveals that for a framework to be ‘effective’, certain factors ought to be ‘integrated’ in order to specifically address the aim and objectives of the particular framework – especially in specific sectors such as the extractive resources sector. A study of fifteen influential frameworks provided insight as to some outstanding factors that must be atleast considered in developing ‘an effective framework’ for a developing resources extraction sector. Although the knowledge of a granite quarry environment in a developing country has been used in expounding the study, the study is also a referral of ongoing research and can be applicable to the development of similar guides. So, because the principles discussed in this study were also applied in the development of this paper, the principles of this guide could also be applied by governing bodies, local governments, researchers and research institutes, non-governmental and private organisations in the extractive industry and beyond, for the development of ‘effective’ guides aimed at impacts control and waste management.
CitationPrinciples for developing an effective framework to control minerals and rocks extraction impacts, mitigate waste and optimise sustainable quarries management 2016, 47:164 Resources Policy
DescriptionHighlights • The implementation of ‘effective frameworks’ can boost sustainable quarry management. • Issues experienced in the quarry sectors of other countries could be avoided in developing countries, if frameworks are developed to be more interactive. • Certain components are exceptional in framework development, as a fact, they would always remain key. • A ‘framework-development-framework’ with the right variables integrated, is essential for constructing a guide in quarries development. Because, the economic, social, and cultural impact of these activities do vary from location to location.
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The impact of strategic decisions on construction client satisfaction: an assessment frameworkProverbs, David G.; Cheng, Jianxi (University of Wolverhampton, 2008)For some considerable time, client satisfaction has been a problematic issue in the UK construction industry with many projects failing to satisfy the client needs and meet or exceed the client expectations. Client satisfaction is, however, a key performance measure and a major determinant of project success. There is a common belief that strategic decisions made by clients have a significant impact on the levels of client satisfaction. Strategic decisions in the context of construction projects are often associated with project stages including pre-design, design, tender, construction, occupancy & maintenance and disposal and vary in nature. Consequently the impact of strategic decisions on client satisfaction depends as much on timing as on the subjects of the decisions. While such findings are useful to facilitate the industry’s focus on addressing the failure in achieving client satisfaction, and point to the route for improvement, they are arbitrary and do not provide a systematic basis for investigating the real impact on client satisfaction. The nature of strategic decisions and the significance of its impact on client satisfaction have not been clearly identified and client satisfaction has remained an elusive issue for a majority of construction professionals. This research was hence undertaken to seek empirical evidence of an interrelationship between strategic decisions and client satisfaction. Defining strategic decisions, often associated with project stages, as ones that are complex and made under uncertainty and have a long-term impact on project success, a quantitative research methodology combined with qualitative approaches, was adopted in investigating the interrelationship between strategic decisions and client satisfaction. Findings of a detailed literature review revealed that client satisfaction at any stage depends as much on the service quality attributes of service providers including overall service delivery, people of service providers and communications with clients as on the influence of strategic decisions and the client itself. These performance attributes and the groups of strategic decisions, referred as strategic decision cluster (SDC), were further assessed and the relationships between these measures and strategic decisions were examined using factor analysis and multiple regression modelling techniques. Analyses revealed SDCs including Design Approach, Procurement and Implementation predict better the outcomes of service quality and hence higher levels of client satisfaction. Service delivery and communications with clients have a positively significant correlation with the levels of client satisfaction. Of these two attributes, communications with clients makes the largest unique contribution to the variance and is considered the better predictor for client satisfaction. The developed models is validated via external and internal validation and the findings support the thesis that strategic decisions have a impact on client satisfaction by strongly influencing the performance of service quality although causality cannot be assumed. It is recommended that service providers including contractors and consultants devote more efforts to improve their performance on the attributes of service quality identified as having significant association with client satisfaction, particularly service delivery and communications with clients. Further research efforts focusing on providing a practical tool or expert system so as to address the practical issues for a wider range of clients and service providers are also recommended.
The impact of individual health education on health literacy: Evaluation of the translated version (sinhala) of health education impact questionnaire in type 2 diabetesCooray, Bulathsinghalage Poornima Reshamie; Morrissey, Hana; Waidyarathne, Eisha .I.; Ball, Patrick (International Journal of Diabetes and Clinical Research, 2018-05-14)INTRODUCTION: The prevalence of Type 2 diabetes is globally on the rise, in both developed and developing countries. Type 2 diabetes is a major public health issue in Sri Lanka. This study aims to investigate the effect of structured self-management health education intervention based on ‘PITS model’ (Pathophysiology, Indications, Treatment and Specifics) would result in a clinically significant improvement in glycaemic control of type 2 Diabetes Mellitus (T2DM) patients. METHODS: Patients who were diagnosed with T2DM at two tertiary care hospitals in Sri Lanka, comply with the selection criteria were enrolled to the study. The intervention consisted with two repeated one to one education sessions followed up in six and twelve months. HbA1c, lipid profiles, waist circumference, BMI and other biomedical measurements were done in both groups. Analysis of covariance between groups were conducted to determine the effectiveness of the intervention. RESULTS: Mean HbA1c level in both intervention and usual care group was 8.6% with deviation from their target glycaemic level (6.5%,48 mmol/mol) at baseline. At six months, there was a significant reduction (p < 0.001; size of effect = 0.69) in HbA1c between the intervention and the usual care group controlling the baseline values. CONCLUSION: The results demonstrate the effectiveness of one to one diabetes self-management intervention among the adults with T2DM.
Traffic event detection framework using social mediaSalas, A; Georgakis, P; Nwagboso, C; Ammari, A; Petalas, I (IEEE, 2017-09-18)© 2017 IEEE. Traffic incidents are one of the leading causes of non-recurrent traffic congestions. By detecting these incidents on time, traffic management agencies can activate strategies to ease congestion and travelers can plan their trip by taking into consideration these factors. In recent years, there has been an increasing interest in Twitter because of the real-time nature of its data. Twitter has been used as a way of predicting revenues, accidents, natural disasters, and traffic. This paper proposes a framework for the real-time detection of traffic events using Twitter data. The methodology consists of a text classification algorithm to identify traffic related tweets. These traffic messages are then geolocated and further classified into positive, negative, or neutral class using sentiment analysis. In addition, stress and relaxation strength detection is performed, with the purpose of further analyzing user emotions within the tweet. Future work will be carried out to implement the proposed framework in the West Midlands area, United Kingdom.