Suchergebnisse

Pflegekräftemangel, Regionen ohne ausreichende Facharztdichte und der demografische Wandel – das Gesundheitswesen steht vor großen Herausforderungen. Telemedizin kann hier ein Segen sein. Das finanziell aufwendigste Projekt in Deutschland bietet dafür sogar eine universelle Softwareplattform.

Currently, waste is an important issue faced by almost all countries, including Indonesia, as it can have social and environmental impacts. Waste management needs coordination between local governments and waste-generating communities. The government must provide means of final waste disposal site. At present, Wonogiri District has five disposal sites located in 5 different sub-districts of Pracimantoro, Baturetno, Ngadirojo, Slogohimo and Purwantoro. Determination of alternative final disposal site in Wonogiri District is needed for more effective and optimum waste handling. Using Technique of Order Preference method by Similiary to Ideal Solution (TOPSIS), it is proposed in this article that the Baturetno site is the best alternative for final disposal site compared to the other four sites. This article also proposes a scheme for the further processing of waste into methane gas that can be utilized by the community.

Hospital is one of the most important and beneficial public services in the world, therefore, these facilities should be located in a rational manner. Increasing the population of countries particularly developing countries and remote areas leads to the demand for new public health facilities and hospitals. No matter who provides the healthcare facilities, the most important issue is where to locate a new hospital to provide, both facility location and attractiveness. Hospital proper site selection has a vital role in hospital construction and management. From the aspect of the government and healthcare organization, appropriate hospital site selection will help optimize the allocation of medical resources, matching the provision of health care with the social and economic demands. From the aspect of the investors and operators of the hospital, optimum hospital site selection will definitely be cost-saving on capital strategy. On the other hand, establishing a hospital in urban districts has its own positive and negative consequences. The positive impacts of establishing a hospital in an area are that it increases property value in the neighboring periphery as well as improving healthrelated accessibility for the residents of that urban district. The negative impacts of establishing a hospital in an area are negative side-effects such as environmental contamination and inducing new waves of traffic flow. Then, the adjacent community is impacted by forms of increased traffic flow, increased emergency vehicle usage in residential areas. Therefore, in hospital site selection should be tried to reduce the negative impacts. Then, main aim of this paper is to select a site for the building of a new hospital in Iskandar Malaysia using GIS-based Multi-Criteria Analysis (MCA) with consideration of various factor criteria, and constraint criteria in order to balance the medical resource there.

ABSTRACTThis paper presents an application of fuzzy subsets to the problem of selecting sites for locating gas stations. Cost minimization and profit maximization models represent typical approaches to location decisions. These approaches are not well‐suited to problems like site selection for gas stations because of the difficulty in identifying precise relationships, the uncertainties involved, and the qualitative and imprecise nature of much of the information used for decision making. This paper proposes the use of a model based on linguistic variables and a direct evaluation of the available alternatives via the use of fuzzy variables. Conclusions regarding the practical advantages and limitations of the approach are drawn based on the reported application.

Most prior decision models for nature reserve-site selection have considered just two options for candidate sites: protected or not protected. In many reserve planning contexts this is an artificial and unrealistic limitation, as multiple categories of protection may be possible and desirable, especially if certain conservation elements such as rare species require special protection or management. In this paper we consider the implications of different levels of protection for species conservation and for the selection of reserve sites. New integer programming models are formulated for this problem of optimal site selection, and are presented in the context of a five-step procedure for identifying tradeoffs in the number of sites selected for each of multiple categories of protection. Results of a case study using data from Oregon are presented and compared to results from a previous study by Csuti et al.

Saskatchewan is one of Canada&rsquo ; s highest emitters of greenhouse gases, largely due to the burning of lignite coal to generate electricity. The province is also the world&rsquo ; s second largest producer of uranium. This research was intended to establish a process for evaluating geographical considerations in site selection for small modular reactors (SMRs) in Saskatchewan. SMRs are the next generation of electrical power, producing less than 300 megawatts (MW) and featuring a basic design that offers enhanced safety, health, and environmental benefits compared to traditional reactors. Selecting an SMR site is a two-stage process: (i) Identifying candidate site locations based solely on available geographical, economic, and logistical data&mdash ; an objective process&mdash ; and (ii) refining the potential locations based on public perceptions, social conventions, and political will&mdash ; a subjective process. This study focused on the objective geographical considerations in SMR site selection in Saskatchewan. The study areas were subjected to a multi-criteria decision analysis based on specific criteria drawn from various Canadian federal regulation documents. Criteria weights were assigned using the analytical hierarchy process, with results for two different types of criteria weights applied for the purpose of demonstration. Three distinct cases of criteria fuzzy standardization were conducted to assign spatial suitability values for all the criteria. Spatial decision-making models were implemented in a geographic information system to identify candidate sites. Geographical maps constructed from the findings showed suitable sites for SMRs, ranging from very suitable to unsuitable based on the geographical analysis of the study area.

Residential site selection, the process by which a migrant evaluates and chooses among housing opportunities, can be regarded as an example of multi-attribute decision making. If certain simple assumptions are made about the decision, preference rankings of the alternatives can be derived. A classification of these rankings is presented on the basis of preference between various combinations of attributes, and additive utility functions in accordance with the assumptions are noted. Applications of the structure to other kinds of decision are suggested, and extensions to other aspects of residential choice, such as search procedure, are outlined.

Biogas production through anaerobic digestion is an integral part of the transition toward a biobased and circular economy and its expansion is foreseen in many parts of the world as well as in Europe. In Sweden, a governmental inquiry suggested biogas production to be increased from about 2 TWh today to 7 TWh by 2030. This rapid expansion would require installation of several new biogas plants across the country. However, the location of biogas plants can greatly affect its business performance and there are several geographic and socio-political factors that would limit the choice of location. Through dialogue with existing biogas producing companies and a few other related actors, we identified 12 factors that are commonly considered in the site-selection of biogas plants in Sweden or are considered to be important in the years to come. These factors are grouped into those related to supply and demand (feedstock supply, biogas demand, digestate demand, and carbon dioxide demand), infrastructure and synergies (available infrastructure, adjacent existing industries), land-use and zoning (nearby housing, zoning, and historic preservation sites), and socio-political context (political strategies and goals, organizational capability, and local social acceptance). We discuss how these factors can be used under rapidly transforming conditions in Sweden through different site-selection logics and highlight the importance of spatially explicit analysis for individual or coordinated decision making in future. Our method of enquiry and analysis, and to a certain degree the factors, can be also relevant for other countries, particularly in Europe. This study paves the way for more in-depth investigation of the question of site-selection of biogas plants in Sweden; both in the direction of detailed analysis at the local level, or screening analysis on the regional or national level for improved coordinated actions. ; Funding: This research was performed with the support of the Biogas Research Center (BRC) which is funded ...