Forests are associated with countrywide ecological security, and there are significant differences in the forests of different regions. Based on the DPSIR model, 25 indicators were selected from five dimensions to determine the index system, and the entropy-weighted TOPSIS method and gray correlation were applied to determine the index of western China’s forests. The spatial distribution map was used to observe the spatial changes of forests. The results show that first, Inner Mongolia (0.466) has the best forest ecological security status and Ningxia (0.124) has the worst forest resource status. Second, the first and most frequent correlation is the area of planted forests (I1). The last and most frequent correlation is sulfur dioxide emission (P2). Thirdly, Inner Mongolia and Szechwan belong to the high ecological safety–high economic level, Yunnan, Guangxi, and Tibet belong to the high ecological safety–low economic level, and Gansu and Guizhou belong to the low ecological safety–low economic level. The rest of the regions are classified in the low ecological security–high economic level. Fourth, the forest ecological security in western China has gradually become better, with the security index increasing from 0.417 to 0.469, with an average annual increase of 12.47%.
Based on the Web of Science (WoS) core collection database, this article compares the research results in this subject area since 2000 with the literature data on the theme of sustainable architectural design and conducts an in-depth investigation into the research themes, basic literature, development trends, and research frontiers. Qualitative and quantitative analyses were conducted through the CiteSpace scientific visualization software, and the degree of collaboration between authors, institutions, and countries was analysed through research power. The topical research hotspots and their evolution were explored through a word frequency analysis, cluster analysis, and timeline analysis; the origins and development of a particular issue in sustainable building design were explored in conjunction with mutation analysis; and the frontier hotspots were explored. The analysis of co-citations was used to identify important knowledge bases in the field; the flow of knowledge between disciplines was explored through biplot overlay analysis. By interpreting the scientific visualization knowledge map, it was concluded that the research trends in sustainable building design are mainly in the areas of resource control, energy consumption, renewable building materials, evaluation systems, and computer-aided tools, and so on. The major topics of future research related to sustainable building design are discussed and summarized.
During the coronavirus disease 2019 (COVID-19) pandemic, many countries imposed restrictions and quarantines on the population, which led to a decrease in people’s physical activity (PA) and severely damaged their mental health. As a result, people engaged in fitness activities with the help of fitness apps, which improved their resistance to the virus and reduced the occurrence of psychological problems, such as anxiety and depression. However, the churn rate of fitness apps is high. As such, our purpose in this study was to analyze the factors that influence the use of fitness apps by adults aged 18–65 years in the context of COVID-19, with the aim of contributing to the analysis of mobile fitness user behavior and related product design practices. We constructed a decision target program model using the analytic hierarchy process (AHP), and we analyzed and inductively screened 11 evaluation indicators, which we combined with an indicator design questionnaire. We distributed 420 questionnaires; of the respondents, 347 knew about or used fitness apps. Among these 347, we recovered 310 valid questionnaires after removing invalid questionnaires with a short completion time, for an effective questionnaire recovery rate of 89.33%. We used the AHP and entropy method to calculate and evaluate the weight coefficient of each influencing factor and to determine an influencing factor index. Our conclusions were as follows: first, the effect of perceived usefulness on the use of fitness apps by the study groups was the most notable. Second, personal motivation and perceived ease of use considerably influenced the adult group’s willingness to use fitness apps. Finally, the perceived cost had relatively little effect on the use of fitness apps by adults, and the study group was much more concerned with the privacy cost than the expense cost.
With the rapid development of Internet information technology, Internet medical platforms are gradually entering daily life. Especially after the outbreak of the COVID-19 pandemic, it becomes very difficult for patients to go out for medical treatment, and the Internet medical platform plays an important role. The study of the use and influencing factors of Internet medical platforms has become a new topic. In this study, evidence from the Chinese Internet medical platform Ding Xiang Doctor(DXY) is combined with an integrated approach of hierarchical analysis and the entropy value method to construct evaluation indexes and questionnaires from four dimensions of perceived quality, perceived value, user trust, and user involvement to analyze the factors influencing users’ satisfaction with Internet medical platforms. The questionnaires were distributed online, and 556 questionnaires were distributed from June to August 2022; 520 questionnaires were collected; the questionnaires’ recovery rate was 93.53%; after excluding some invalid questionnaires, 424 questionnaires remained; the questionnaire efficiency was 81.54%; the Cronbach coefficient was 0.978; the KMO(Kaiser-Meyer-Olkin) value was 0.977; and the reliability performance was good. The study concluded that: (1) Users pay more attention to the content of perceived value, including the cost of time, economy, expense, and effort spent, and emphasize the degree of personal benefit. (2) Users are less satisfied with the information accessibility, design aesthetics, information timeliness, information comprehensiveness, and classification clarity of the DXY platform. (3) Users pay most attention to the protection of personal privacy by the platform side in the dimension of perceived value. (4) Users’ trust in the platform is relatively high, their willingness to use the platform in the future is strong, and the dimensions of online interactive discussion, willingness to pay, and paid services are highly recognized.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.