• Title/Summary/Keyword: S10

Search Result 181,213, Processing Time 0.19 seconds

Analyzing TripAdvisor application reviews to enable smart tourism : focusing on topic modeling (스마트 관광 활성화를 위한 트립어드바이저 애플리케이션 리뷰 분석 : 토픽 모델링을 중심으로)

  • YuNa Lee;MuMoungCho Han;SeonYeong Yu;MeeQi Siow;Mijin Noh;YangSok Kim
    • Smart Media Journal
    • /
    • v.12 no.8
    • /
    • pp.9-17
    • /
    • 2023
  • The development of information and communication technology and the improvement of the development and dissemination of smart devices have caused changes in the form of tourism, and the concept of smart tourism has since emerged. In this regard, researches related to smart tourism has been conducted in various fields such as policy implementation and surveys, but there is a lack of research on application reviews. This study collects Trip Advisor application review data in the Google Play Store to identify usage of the application and user satisfaction through Latent Dirichlet Allocation (LDA) topic modeling. The analysis results in four topics, two of which are positive and the other two are negative. We found that users were satisfied with the application's recommendation system, but were dissatisfied when the filters they set during search were not applied or that reviews were not published after updates of the application. We suggest more categories can be added to the application to provide users with different experiences. In addition, it is expected that user satisfaction can be improved by identifying problems within the application, including the filter function, and checking the application environment and resolving the error occurring during the application usage.

Water intake and oral disease symptoms in adolescents : a cross-sectional study conducted in Korea in 2021 (우리나라 청소년의 수분 섭취에 따른 구강질환 증상 : 2021년 청소년온라인행태조사 자료를 이용한 단면연구)

  • So-Yeong Kim;Sun-A Lim
    • Journal of Korean society of Dental Hygiene
    • /
    • v.23 no.5
    • /
    • pp.343-350
    • /
    • 2023
  • Objectives: Water constitutes a majority of the human body and is essential for health. In addition, water intake can prevent dental caries by improving salivary lubrication and self-cleaning. This study aimed to determine the relationship between the amount of daily water intake and the symptoms of oral disease in Korean adolescents. Methods: We used data from the Korea Youth Risk Behavior Web-based Survey (KYRBS), conducted in Korea in 2021, and identified the relationship between daily water intake and oral disease symptoms in Korean adolescents. KYRBS is a nationwide cross-sectional survey conducted by the Korea Disease Control and Prevention Agency (KDCA), and a total of 54,848 participants were included in this study. Results: After adjusting for confounding factors, logistic regression analysis showed that tooth pain was more often experienced by those who drank less than two cups of water per day (odds ratio [OR]: 1.14; 95% confidence interval [CI]: 1.01-1.30) than those who drank five or more cups of water per day. Conclusions: A low daily water intake is associated with tooth pain, a symptom of dental caries. The results of our study suggest that increasing water intake may reduce dental caries. Therefore, adequate water intake may help prevent dental caries.

A Spatial Projection of Demand for Green Infrastructure and Its Application to GeoDesign - Evidence-Based Design for Urban Resilience - (융합도시모델링을 통한 그린인프라 수요 예측 및 지오디자인 적용 - 도시 레질리언스를 위한 근거 기반 디자인 -)

  • Kwak, Yoonshin
    • Journal of the Korean Institute of Landscape Architecture
    • /
    • v.51 no.5
    • /
    • pp.30-43
    • /
    • 2023
  • Green infrastructure(GI) is considered a key strategy in establishing sustainable communities. However, research on GI from the perspective of urban system dynamics and resilience lacks depth, as does its integration with physical design. This research addresses two primary causes. First, there is a gap in methods between existing GI planning, which considers static variables, and urban modeling research, which addresses dynamic variables. Second, there is a gap in information between landscape design and urban modeling research. To address these issues, this study proposes an integrated modeling approach in consideration of design decision-making. By combining the LEAM model and MCDA model, this study evaluates the relationship between GI services and socioeconomic growth, while spatially forecasting the geographies of GI demand in 2050. The resulting information reveals a potential degradation in ecosystem services over the region due to Chicago's sub-urbanization. This indicates that there would be a spatial shift in GI demand, emphasizing the need for comprehensive, dynamic GI strategies. This study further discusses the applications of evidence-based design in a studio environment. This study aims to contribute to the GeoDesign literature in terms of the creation of a more resilient urban environment by facilitating efficient evidence-based decision-making.

Study of the Application of VQA Deep Learning Technology to the Operation and Management of Urban Parks - Analysis of SNS Images - (도시공원 운영 및 관리를 위한 VQA 딥러닝 기술 활용 연구 - SNS 이미지 분석을 중심으로 -)

  • Lee, Da-Yeon;Park, Seo-Eun;Lee, Jae Ho
    • Journal of the Korean Institute of Landscape Architecture
    • /
    • v.51 no.5
    • /
    • pp.44-56
    • /
    • 2023
  • This research explores the enhancement of park operation and management by analyzing the changing demands of park users. While traditional methods depended on surveys, there has been a recent shift towards utilizing social media data to understand park usage trends. Notably, most research has focused on text data from social media, overlooking the valuable insights from image data. Addressing this gap, our study introduces a novel method of assessing park usage using social media image data and then applies it to actual city park evaluations. A unique image analysis tool, built on Visual Question Answering (VQA) deep learning technology, was developed. This tool revealed specific city park details such as user demographics, behaviors, and locations. Our findings highlight three main points: (1) The VQA-based image analysis tool's validity was proven by matching its results with traditional text analysis outcomes. (2) VQA deep learning technology offers insights like gender, age, and usage time, which aren't accessible from text analysis alone. (3) Using VQA, we derived operational and management strategies for city parks. In conclusion, our VQA-based method offers significant methodological advancements for future park usage studies.

A Study on the Differentiation of Policy Instruments According to the Characteristic Factors of Apparel Sewing Micro Manufacturers Clusters in Seoul (서울시 의류봉제 소공인클러스터의 특성요인에 따른 정책수단 차별화에 관한 연구)

  • Young-Su Jung;Joo-Sung Hwang
    • Journal of the Economic Geographical Society of Korea
    • /
    • v.26 no.3
    • /
    • pp.238-255
    • /
    • 2023
  • In this study, we derived the characteristic factors of the cluster as measurable variables, and attempted to clarify the characteristics of the apparel sewing areas in Changsin-dong, Doksan-dong, and Jangwi-dong. Based on these results, a comparative analysis was conducted to see how the demand for the government's support policy differs for each agglomeration area. Materials were collected through face-to-face questionnaires targeting tenant companies in the three regions. As a result of the analysis, Changsin-dong was identified as an "innovative growth type," Doksan-dong as a "networking type," and Jangwi-dong as a "specialized localization type." As a result of the research on policy demands, the policy demands of the three agglomerations appeared different, but Changsin-dong preferred capacity building, Doksan-dong preferred information provision, and Jangwi-dong favored policy means of benefit. It was confirmed that even among clusters of the same apparel sewing industry, the formation process and characteristics are different, and as a result, the demand for policy instruments is also different. Policy recommendations include understanding the characteristics and policy demands of each agglomeration area through periodic fact-finding surveys, and recommending the establishment and implementation of differentiated support policies that match the characteristics of each agglomeration area.

Conditions for a Sustainable Cooperation Model of 'Local Government-University': Focusing on Case Studies Both in Domestic and Foreign (지속가능한 '지자체-대학' 협력모델의 조건: 국내외 사례연구를 중심으로)

  • Seyon Park;Kyonghwan Kim
    • Journal of the Economic Geographical Society of Korea
    • /
    • v.26 no.3
    • /
    • pp.337-357
    • /
    • 2023
  • Universities and local governments in Korea are simultaneously experiencing the difficulties of a decrease in the youth population and a decrease in the school-age population, and close cooperation between universities and local governments is urgently needed to solve this problem. Representative methods of such cooperation include the establishment of a regional innovation system and the theories of innovation clusters and triple helix models. In addition to these theories, the aim is to derive sustainable conditions for the local government-university cooperation model by examining various cases of cooperation at home and abroad. This is the purpose of this paper. In particular, through case studies of cooperation between local governments and universities at home and abroad, three types of models (job, education, and housing) were analyzed, and common conditions and requirements for sustainable cooperation were proposed. In order for cooperation between local governments and universities to continue and produce successful results, mutual benefit creation, infrastructure construction and operation appropriate for capabilities, flexibility, and mutual responsibility are necessary. Furthermore, a model that suits the capabilities of local governments and universities must be found, and in this process, the university's research capabilities and commercialization capabilities of research results are especially important. In addition, it is essential to establish a new cooperation system between local governments, universities, and the central government.

A Study on the Determinants of Land Price in Detailed Parts of Eastern District Gyeongseong in the 1920's (1920년대 경성 동부지역 내 세부 권역별 토지가격 결정 요인 연구)

  • Seulki Yu;Kyung-min Kim;Jin-seok Kim
    • Journal of the Economic Geographical Society of Korea
    • /
    • v.26 no.2
    • /
    • pp.123-136
    • /
    • 2023
  • Upon examining land prices in the eastern district of Gyeongseong, it was observed that there were variations in land prices between the northern and southern areas, with the central part being densely populated with modern facilities such as hospitals, schools, and research institutions. As a result, the eastern district of Gyeongseong was further divided into specific sub-areas, namely the northeastern and southeastern, for a more detailed analysis of the land market in each area. In the northeastern area, factors such as distance from the central area and proximity to planned roads were found to have an impact on land prices. On the other hand, in the southeastern area, the distance between the main road, whice were IHyun Road and Jongro, was identified as a significant influencer of land prices. Therefore, the northeastern area exhibited characteristics of a hinterland, influenced by the concentration of major facilities in the central area, while the southeastern area had a strong commercial orientation, largely shaped by the influence of Jongro as a bustling commercial district. This study is significant in that it sheds light on certain aspects of the modern land market by demonstrating that factors such as accessibility to roads and anchor facilities, as well as the segmentation of the land market, were also influential in the land market a century ago.

A Study on the Derivation of Port Safety Risk Factors Using by Topic Modeling (토픽모델링을 활용한 항만안전 위험요인 도출에 관한 연구)

  • Lee Jeong-Min;Kim Yul-Seong
    • Journal of Korea Port Economic Association
    • /
    • v.39 no.2
    • /
    • pp.59-76
    • /
    • 2023
  • In this study, we tried to find out port safety from various perspectives through news data that can be easily accessed by the general public and domestic academic journal data that reflects the insights of port researchers. Non-negative Matrix Factorization(NMF) based topic modeling was conducted using Python to derive the main topics for each data, and then semantic analysis was conducted for each topic. The news data mainly derived natural and environmental factors among port safety risk factors, and the academic journal data derived security factors, mechanical factors, human factors, environmental factors, and natural factors. Through this, the need for strategies to strengthen the safety of domestic ports, such as strengthening the resilience of port safety, improve safety awareness to broaden the public's view of port safety, and conduct research to develop the port industry environment into a safe and specialized mature port. As a result, this study identified the main factors to be improved and provided basic data to develop into a mature port with a port safety culture.

A Study on the Factors for Selecting Charterers in the Dry Bulk Shipping Market (건화물 벌크 해운시장에서 용선업체 선정요인에 관한 연구)

  • Jun-Ho Lee;Young-Sin Lee;Choong-Bae Lee
    • Journal of Korea Port Economic Association
    • /
    • v.39 no.3
    • /
    • pp.123-140
    • /
    • 2023
  • Maritime transportation is one of the oldest means of transportation utilized by mankind, and it has significantly contributed to the advancement of civilization by efficiently transporting bulk cargo at a low cost. The study aim to identify the factors influencing the selection of shipping companies in the bulk shipping market and provide insights for improving the competitiveness of shipping-related companies. To achieve this goal, the Analytic Hierarchy Process (AHP) was employed. For the empirical analysis, previous research, interviews, and a pilot test were conducted to identify five top-level factors such as companies, vessels, operations, services, and transaction factors. Each top-level factor has four sub-factors. The results of the analysis, based on 80 valid questionnaires, are as follows: Firstly, in the selection of shipping companies, the priority of factors influencing the choice of shipping companies was as follows: vessel factors were the most important, followed by company, operations, relationship, and service factors. Secondly, when investigating the priority of sub-factors, the availability/appropriateness of vessels was the most crucial factor, followed by company characteristics, financial soundness, and the company's reputation in order. The implications of these findings suggest that shipowners should focus on securing more suitable vessels and enhancing their reputation in response to shippers' demand. Shippers, on the other hand, should consider maintaining a healthy financial structure as a crucial task in securing competitive shipping service providers.

A Study on Improvement of throughput-linked Port Development (Trigger Rule) System (물동량 연동 항만개발제도 개선방안 연구)

  • LEE, Su-Young;LEE, Na-Young
    • Journal of Korea Port Economic Association
    • /
    • v.39 no.3
    • /
    • pp.179-189
    • /
    • 2023
  • Korea's port development adjusts the completion time and size of port facilities according to the future port throughput. The current port development system, which is referred to as "throughput-linked port development (Trigger Rule)", has received positive evaluation for efficiently executing the limited port development budget. Recently concerns have been growing over deteriorating service levels in port facilities in Korea due to accelerated aging of terminal facilities. However, the current port development system does not possess any standard for assessing the level of service and utilizing development indicators. The purpose of this paper is to calculate the Port Service Index (PSI) by selecting indicators to measure the Level of Service (LOS) of ports and deriving weights between the indicators, so that the current "throughput-linked port development (Trigger Rule)" can be linked with the level of service. Based on the result of analysis on a variety of preceding studies, the ship waiting rate, berth productivity, ship turnaround time and ship productivity were selected as four indicators to constitute the Port Service Index. The AHP and entropy methodologies were used to derive weights for each of four indicators which were later combined to calculate the comprehensive weight. The calculation formula of the Port Service Index (PSI) was derived by using the aggregated weights of each indicator, based on which the LOS of domestic container and bulk terminals were evaluated and this measurement result was divided into 6 classes to define each LOS. This paper contributes to draw the improvement measures for port development system that are able to connect the quantitative indicator of throughput, as well as a qualitative indicator of the level of "service".