• Asia Marketing Journal
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• v.24 no.1
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• pp.3-12
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• 2022

Smart city technologies such as transportation and parking systems make our daily lives more efficient and intelligent. However, it is impossible to implement a smart mobility system without analyzing the individual's behavior toward the new technology. This research study attempts to develop a framework for predicting smart mobility antecedents using SEM in primary data analysis. The Technology Acceptance Model (TAM) was the conceptual foundation for this study. To achieve the objectives of the study, one thousand five hundred and twelve effective questionnaires were collected and analyzed using Smart PLS 3.3. The results show that perceived usefulness, perceived ease of use, and perceived risk significantly affect attitudes towards adopting smart mobility systems. Our study provides a comprehensive framework to understand individual-level smart city technology adoption. This study offers implications for policymakers to update existing policies concerning road technology.

• Asian-Australasian Journal of Animal Sciences
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• v.17 no.10
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• pp.1360-1365
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• 2004

Using the method of 'random sampling in typical colonies of the central area of the habitat', 60 Small-tailed Han sheep were obtained in Jining city, Shangdong province. The variations of Small-tailed Han sheep at 12 structural loci encoding blood proteins were detected by several electrophoresis techniques and their gene frequencies were then estimated. The same data of four other sheep populations from Near-sea Mainland in East Asia were cited for the analysis of genetic differentiation. The average heterozygosities of five populations, namely Kharkhorin sheep, Ulaanbaatar sheep, Small-tailed Han sheep, Hu sheep and Cham Tribe sheep were 0.3447, 0.3285, 0.3157, 0.3884 and 0.2300, respectively. The coefficient of gene differentiation among four populations, Kharkhorin sheep, Ulaanbaatar sheep, Small-tailed Han sheep and Hu sheep, was 0.045557, and that between these four breeds and Cham Tribe sheep was 0.088005, indicating that the level of gene differentiation among the former four sheep populations of Mongolian group was comparatively lower than that between Cham Tribe sheep and other four sheep populations. The origin of Cham Tribe sheep deserve further research. The documentary research on the evolution of Small-tailed Han sheep and Hu sheep from Mongolian sheep was further verified by the biochemical experiments in the study. It was reasonably deduced that Hu sheep, Small Tailed Han sheep and Cham Tribe sheep were decreasingly influenced by the bloodline of Mongolian sheep.

• International conference on construction engineering and project management
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• 2017.10a
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• pp.138-145
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• 2017

As that experienced in other developing countries, Mongolia has already faced multilateral side issues for two decades due to economic growth that created Ger areas or internationally 'Slum', public housing and living conditions for low-income citizens, on the basis of rapid migration from rural areas to urban. Ger areas appear to be the main cause of environmental pollution problems and impending comfortable living conditions of the city's residents by covering more than half area of Ulaanbaatar city. Also, the spread of the Ger areas has many side issues such as prevention of urban development and unaesthetic. Most inhabitants of the areas are on low-incomes, and living in the detached houses or felt yurts (Ger) usually build within a low budget, by themselves or unprofessional people, and by using materials of poor quality. Therefore, Ger areas are an inevitable issue that requires effective, proper and immediate housing policy coordination under the government and even the housing market. Unfortunately housing policies, laws, and projects adopted by Mongolian government have shown inefficient results. The government housing policies, unlike other developing countries did not target low-income households' housing which is the priority issue for two decades. But only in 2014, the Long-term housing policy with the strategy for affordable housing initiated the housing policy for low-income households. This policy has five main broad directions such as redevelopment of Ger area, the land readjustment, public rental housing, new settlements and new city and reconstruction for old apartments, which are rather general and would require tremendous financial resources if each of the directions is implemented simultaneously without prioritization. Therefore this research aims to suggest the efficient and adequate housing policy direction for the low-income households in Ger area based on achievement of other developing countries' strategies, performances and generic characteristic with explanatory models. Also, this research adopts a literature analysis method that uses various research reports, related papers in domestic and international journals, and theses by experts, researchers, public institutions, and agencies.

• Proceedings of the KIEE Conference
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• 2011.07a
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• pp.1364-1365
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• 2011

울란바타르시는 몽골의 수도로 인구 110만명이 거주하고 있으며 매년 증가추세에 있다. 2030년에는 몽고 전체인구의 55.5%가 집중되어 도시의 밀집도가 심화될 것으로 예측된다. 몽골은 연평균 강우량이 250mm에도 미치지 못하는 건조한 지역이 대부분으로 전체 수원을 지하수에 의존하고 있으며 인구증가에 따른 지하수 고갈 및 최근 기후변화로 인한 가뭄, 폭설, 한파 등의 영향으로 활용 가능한 수자원이 매년 줄어들고 있어 신규 상수원 확보가 무엇보다 중요시 하고 있다. 동절기 상수원의 결빙을 예방하여야 하나 어려운 전력난으로 전력대신 석탄 보일러를 이용하고 있어 심한 환경오염을 일으키고 있다. 이러한 각종 현상 및 문제점들에 대응코자 진행중인 울란바타르시 수자원개발 마스터플랜 및 상수원 추가 개발사업 가운데 조절지로 공급되는 관로의 잉여압력을 이용한 소수력과 추가되는 가압장의 여유부지에 시설되는 태양광발전의 개발 사례에 대해서 살펴보고자 한다.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.12
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• pp.1905-1912
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• 2017

In recent years, Ulaanbaatar, a capital of Mongolia has witnessed major problem that air quality reaches hazardous level during the winter season. Coal combustion for heating of every house in "Ger" district is main reason. One way to reduce the air pollution is mass usage of electric heater. However, there are several difficulties such as overload and degradation of transformers and other equipment used in distribution and transmission systems as well as power shortage occurrence in evening peak period due to residential consumption. This study aims to contribute for solving the air pollution and power shortage problem in Mongolia. One possible solution could be distributed generation (DG) with photovoltaic (PV) penetration. In this study, PV with energy storage (ES) hybrid system to reduce peak load is analyzed. We proposed the suitable structure of PV-ES hybrid for Mongolian household, and suggested several operation scenarios. Optimal operation algorithm is carried out based on a comparison aspect from economical, grid impact and PV penetration possibility. The economic analyse shows annual income of 520USD, and has a payback period of 8 years for selected scenario. The proposed PV-ES system structure is verified by experimentation set on the building rooftop in city center. The suggested scenario is planned to apply for system in further research.

• Journal of Integrative Natural Science
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• v.17 no.3
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• pp.93-103
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• 2024

Mongolia's diverse geographical landscape and harsh climate make it particularly susceptible to various natural disasters, including forest fires, heavy rains, dust storms, and heavy snow. This study aims to explore the relationships between key climatic variables and the frequency of these disasters. We collected monthly data from January 2022 to April 2024, encompassing average temperature, temperature variability (absolute temperature difference), average humidity, and precipitation across the capitals of Mongolia's 21 provinces and the capital city Ulaanbaatar. The data were analyzed using multiple statistical models: Linear Regression, Poisson Regression, and Negative Binomial Regression. Descriptive statistics provided initial insights into the variability and distribution of the climatic variables and disaster occurrences. The models aimed to identify significant predictors and quantify their impact on disaster frequencies. Our approach involved standardizing the predictor variables to ensure comparability and interpretability of the regression coefficients. Our findings indicate that climatic variables significantly affect the frequency of natural disasters. The Negative Binomial Regression model was particularly suitable for our data, which exhibited overdispersion common characteristic in count data such as disaster occurrences. Understanding these relationships is crucial for developing targeted disaster management strategies and policies to mitigate the adverse effects of climate change on Mongolian communities. This research provides valuable insights into how climatic changes impact disaster occurrences, offering a foundation for informed decision-making and policy development to enhance community resilience.