scholarly journals Systematic Literature Review (SLR) Dinamika Perencanaan Pembangunan Infrastruktur Berkelanjutan

2021 ◽  
Vol 7 (2) ◽  
pp. 103
Author(s):  
Nora Eka Putri ◽  
Helmi Helmi ◽  
Melinda Noer ◽  
Yossyafra Yossyafra

This paper contributes to providing an understanding of the dynamics of infrastructure development planning in sustainable development. First, this paper will explain the concept of development from the beginning. The idea is used in a scientific context. Then it will also be described development planning and, in more detail about infrastructure development planning. The research method used is a qualitative approach with systematic literature review (SLR) from various sources of the best journals in googlescholar.com, sciencedirect.com and other relevant sources. The result of this article review is to explain the development of development planning concepts from different periods; development planning context (Developed and Developing countries); categories of physical or social infrastructure development planning; then the sustainability impact of infrastructure development planning, both positive and negative effects of economic, environmental and social aspects, the last about the relationship of development planning with political decision making Based on this paper it is known that the dynamics of infrastructure development planning related to the sustainability of development. Then development planning cannot stand autonomous as an idea or concept that is normative because political decision-making determines the success of the planning. Furthermore, it is necessary to collaborate and synergize development actors in realizing infrastructure development planning. The novelty in this paper is to raise some research questions that can be researched for the future about the dynamics of infrastructure development planning in sustainable development.

2021 ◽  
Vol 13 (8) ◽  
pp. 4129
Author(s):  
Manuel Sousa ◽  
Maria Fatima Almeida ◽  
Rodrigo Calili

Multiple-criteria decision making (MCDM) methods have been widely employed in various fields and disciplines, including decision problems regarding Sustainable Development (SD) issues. The main objective of this paper is to present a systematic literature review (SLR) on MCDM methods supporting decisions focusing on the achievement of UN Sustainable Development Goals (SDGs) and the implementation of the 2030 Agenda for Sustainable Development in regional, national, or local contexts. In this regard, 143 published scientific articles from 2016 to 2020 were retrieved from the Scopus database, selected and reviewed. They were categorized according to the decision problem associated with SDGs issues, the MCDM methodological approach, including the use (or not) of fuzzy set theory, sensitivity analysis, and multistakeholder approaches, the context of MCDM applications, and the MCDM classification (if utility-based, compromise, multi-objective, outranking, or other MCDM methods). The widespread adoption of MCDM methods in complex contexts confirms that they can help decision-makers solve multidimensional problems associated with key issues within the 2030 Agenda framework. Besides, the state-of-art review provides an improved understanding of this research field and directions for building a research agenda for those interested in advancing the research on MCDM applications in issues associated with the 2030 Agenda framework.


2021 ◽  
Vol 13 (8) ◽  
pp. 4383
Author(s):  
Marek Nowacki

Heritage interpretation is an educational activity that provides information on natural and cultural heritage to people visiting heritage sites and objects. The article aims to identify different ways of using heritage interpretation as a tool for managing areas of sustainable development. The study consisted of a systematic literature review (knowledge mapping) in the field of heritage interpretation and sustainable development. Using the most important databases of scientific publications in the world (Scopus, Web of Science, Ebsco, Proquest), publications on the interpretation of heritage and sustainable development were searched. A total of 106 articles and scientific monographs were identified. Then, quantitative and qualitative data analysis was performed (text mining, topic extraction, content analysis). As a result, six thematic areas were identified: opportunities and threats for the area related to the implementation of heritage interpretation programs; the effectiveness of heritage interpretation in the areas of sustainable development; sustainable tourism development planning in heritage areas; the role of a guide-interpreter in the sustainable development of the area; the role of creativity in the heritage interpretation; and strategies for managing the visitor traffic in heritage areas. These thematic areas were discussed by citing examples from the literature on the subject.


2014 ◽  
Vol 73 (3) ◽  
pp. 250-259
Author(s):  
Etienne Verhoeyen

Met dit boek levert Frank Seberechts een nagenoeg volledige studie af van een van de minder fraai kanten van de Belgische samenleving in 1940: de administratieve arrestatie en de wegvoering naar Frankrijk van enkele duizenden personen (de ‘verdachten’), Belgen of in België verblijvende vreemdelingen. De extreem-rechtse en pro-Duitse arrestanten hebben na hun vrijlating dit feit politiek in hun voordeel uitgebaat, waardoor volledig in de schaduw kwam te staan dat de overgrote meerderheid van de weggevoerden joodse mensen waren die in de jaren voor de oorlog naar België waren gevlucht. Dat het beeld van de wegvoeringen niet volledig is, is grotendeels te wijten aan het feit dat de meeste archieven die hierop betrekking hebben tijdens de meidagen van 1940 vernietigd werden. Met name de politieke besluitvorming over de wegvoeringen vertoont nog steeds schemerzones, zodat het vastleggen van verantwoordelijkheden ook vandaag nog een gewaagde onderneming is.________Deportations and the deported during the Maydays in 1940 By means of this book Frank Seberechts provides an almost complete study of one of the less admirable sides of Belgian society in 1940: the administrative arrest and the deportation to France of some thousands of people (‘the suspects’), Belgians or foreigners residing in Belgium. The extreme-right and pro-German detainees politically exploited this fact after they had been freed, but this completely overshadowed the point that the large majority of the deported people were Jews who had fled to Belgium during the years preceding the war. This incomplete portrayal of the deportations is mainly due to the fact that most of the archives relating to the events had been destroyed during the Maydays of 1940. The history of the political decision-making about the deportations in particular still shows many grey areas and it is therefore still a risky business even today to determine which people should be held accountable.


2020 ◽  
Vol 14 (3) ◽  
pp. 318-324
Author(s):  
Stevan Kjosevski ◽  
Atanas Kochov ◽  
Darko Danev ◽  
Aleksandar Kostikj

Sustainable development and sustainable transport are becoming of higher and higher importance. A scientific approach to sustainable development analysis means, first of all, identification of relevant indicators. Based on literature review and regional professionals’ view, a total of 90 indicators have been chosen. They have been structured in five hierarchic levels. A total of five personal transport means alternatives have been analyzed in the research. The AHP method of analysis has been employed in which 75 professionals from the Western Balkan countries have filled appropriate questionnaire. The research presents their opinion about the capacity of each of the alternatives to contribute to the sustainable transport in the region, but also puts a light on perception of the professionals on importance of chosen indicators. The results of this research could be used for further research and could also help to decision making levels regarding sustainable transport and sustainable development.


2021 ◽  
Vol 13 (14) ◽  
pp. 7683
Author(s):  
Amila Omazic ◽  
Bernd Markus Zunk

Public sector organizations, primarily higher education institutions (HEIs), are facing greater levels of responsibility since adopting and committing to the Agenda 2030 for Sustainable Development (SD) and its 17 Sustainable Development Goals (SDGs). HEIs are expected to provide guidance for various stakeholders on this matter, but also to implement this agenda and the SDGs in their institutions. Although the role of these organizations has been recognized, the fields and issues that HEIs should address on their path towards sustainability and SD are still unclear. To provide further clarity, a semi-systematic literature review on sustainability and SD in HEIs was conducted to identify both the key concepts and main research themes that represent sustainability and SD in HEIs and to identify research gaps. This review increases our knowledge of this topic and enhances our understanding of sustainability and SD in the context of HEIs.


Author(s):  
Takeuchi Ayano

AbstractPublic participation has become increasingly necessary to connect a wide range of knowledge and various values to agenda setting, decision-making and policymaking. In this context, deliberative democratic concepts, especially “mini-publics,” are gaining attention. Generally, mini-publics are conducted with randomly selected lay citizens who provide sufficient information to deliberate on issues and form final recommendations. Evaluations are conducted by practitioner researchers and independent researchers, but the results are not standardized. In this study, a systematic review of existing research regarding practices and outcomes of mini-publics was conducted. To analyze 29 papers, the evaluation methodologies were divided into 4 categories of a matrix between the evaluator and evaluated data. The evaluated cases mainly focused on the following two points: (1) how to maintain deliberation quality, and (2) the feasibility of mini-publics. To create a new path to the political decision-making process through mini-publics, it must be demonstrated that mini-publics can contribute to the decision-making process and good-quality deliberations are of concern to policy-makers and experts. Mini-publics are feasible if they can contribute to the political decision-making process and practitioners can evaluate and understand the advantages of mini-publics for each case. For future research, it is important to combine practical case studies and academic research, because few studies have been evaluated by independent researchers.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alan Brnabic ◽  
Lisa M. Hess

Abstract Background Machine learning is a broad term encompassing a number of methods that allow the investigator to learn from the data. These methods may permit large real-world databases to be more rapidly translated to applications to inform patient-provider decision making. Methods This systematic literature review was conducted to identify published observational research of employed machine learning to inform decision making at the patient-provider level. The search strategy was implemented and studies meeting eligibility criteria were evaluated by two independent reviewers. Relevant data related to study design, statistical methods and strengths and limitations were identified; study quality was assessed using a modified version of the Luo checklist. Results A total of 34 publications from January 2014 to September 2020 were identified and evaluated for this review. There were diverse methods, statistical packages and approaches used across identified studies. The most common methods included decision tree and random forest approaches. Most studies applied internal validation but only two conducted external validation. Most studies utilized one algorithm, and only eight studies applied multiple machine learning algorithms to the data. Seven items on the Luo checklist failed to be met by more than 50% of published studies. Conclusions A wide variety of approaches, algorithms, statistical software, and validation strategies were employed in the application of machine learning methods to inform patient-provider decision making. There is a need to ensure that multiple machine learning approaches are used, the model selection strategy is clearly defined, and both internal and external validation are necessary to be sure that decisions for patient care are being made with the highest quality evidence. Future work should routinely employ ensemble methods incorporating multiple machine learning algorithms.


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