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New Trends in Intelligent Quantitative Analysis on the Effects of Energy Consumption on Environment and Public Health

A special issue of International Journal of Environmental Research and Public Health (ISSN 1660-4601).

Deadline for manuscript submissions: closed (28 March 2023) | Viewed by 10602

Special Issue Editor


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Guest Editor
School of Data Science and Software Engineering, Qingdao University, Qingdao 266071, China
Interests: big data analysis; AI modeling; machine learning; intelligent quantitative analysis

Special Issue Information

Dear Colleagues,

Energy, the environment, and public health, three hot topics in the current society, play strategic roles in global sustainable development. The gradual recovery of the world economy will push up levels of energy consumption, and the unreasonable structure of energy consumption will lead to increasingly prominent problems of high energy consumption and high pollution. Therefore, the whole world must join hands in optimizing the structure of energy consumption, reducing environmental pollution, and improving public health. Some scholars have examined the combined effects of energy, economic growth, and technological developments on the environment and public health. However, most of them resorted to a simple qualitative analysis, failing to theorize the mechanisms of these effects through model constructions and intelligent analyses. 

Quantitative analyses rely on mathematical and statistical analyses to determine the quantitative features, relations, and changes in social phenomena. They use a variety of data, including empirical data and survey data, to develop computer algorithms and mathematical models. The ultimate goal of quantitative analysis is to provide researchers with quantifiable statistics and metrics, making their decisions more reliable and reasonable. 

With the advent of the artificial intelligence (AI) era, an intelligent quantitative analysis greatly facilitates the analysis of huge amounts of data in a short period of time. Coupled with econometric methods and game theory, an intelligent quantitative analysis can disclose the effects of energy consumption on the environment and public health, and lay the basis for intelligent modeling and an empirical analysis of the internal factors and patterns of these effects. 

Therefore, this Special Issue intends to report innovative and practical solutions that will develop the intelligent quantitative analysis of how energy consumption influences the environment and public health. We welcome high-quality, influential, and original papers on the recent advances in the emerging research topics that concern the effects of energy consumption on the environment and public health from the perspective of an intelligent quantitative analysis, as well as their applications in specific domains.

Potential topics include but are not limited to the following: 

  • AI modeling of the effects of energy consumption on the environment and public health;
  • Big Data analysis on the effects of energy consumption on environment and public health;
  • Disclosing the effects of energy consumption on the environment and public health by combining econometric methods with game theory;
  • Evaluating the action mechanisms of energy consumption on the environment and public health;
  • Methodological issues and case studies of the effects of energy consumption on the environment and public health;
  • Domain-specific applications of the effects of energy consumption on the environment and public health.

Dr. Gengxin Sun
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. International Journal of Environmental Research and Public Health is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • quantitative analysis
  • energy consumption
  • environmental changes
  • public health/epidemiology
  • intelligent modeling

Published Papers (4 papers)

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Research

17 pages, 620 KiB  
Article
Quantitative Analysis of Online Labor Platforms’ Algorithmic Management Influence on Psychological Health of Workers
by Gengxin Sun
Int. J. Environ. Res. Public Health 2023, 20(5), 4519; https://doi.org/10.3390/ijerph20054519 - 3 Mar 2023
Cited by 1 | Viewed by 2033
Abstract
Online labor platforms (OLPs) can use algorithms to strengthen the control of the labor process. In fact, they construct work circumstances with higher work requirements and pressure. Workers’ autonomy in behavior is limited, which will have a great influence on their labor psychology. [...] Read more.
Online labor platforms (OLPs) can use algorithms to strengthen the control of the labor process. In fact, they construct work circumstances with higher work requirements and pressure. Workers’ autonomy in behavior is limited, which will have a great influence on their labor psychology. In this paper, taking the online take-out platform as an example and by using a qualitative study of take-out riders’ delivery processes, which were supplemented by semi-structured, in-depth interviews with online platform executives and engineers, we used grounded theory to explore the influencing factors of OLPs’ algorithmic management on take-out riders’ working psychology. The quantitative analysis results showed that, in the context of conflict between work autonomy and algorithmic management, platform workers experienced psychological tensions relating to work satisfaction, compensation, and belonging. Our research contributes to protect public health and labor rights of OLP workers. Full article
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12 pages, 888 KiB  
Article
Examining Factors of Health Information Communicant Activeness of Chinese Residents in Outdoor Activities during Public Health Emergencies
by Jie Liu, Jinhong Zhang, Norliana Binti Hashim, Sharifah Sofiah Syed Zainudin and Siti Aishah Binti Hj Mohammad Razi
Int. J. Environ. Res. Public Health 2023, 20(1), 838; https://doi.org/10.3390/ijerph20010838 - 2 Jan 2023
Viewed by 1373
Abstract
This study explores the influencing factors of residents’ outdoor health information communicant activeness under public health emergencies and analyzes the relationship between cognition, motivation, and dissemination behavior. Based on the theory of perceived risk and the Situational Theory of Problem-Solving (STOPS), this study [...] Read more.
This study explores the influencing factors of residents’ outdoor health information communicant activeness under public health emergencies and analyzes the relationship between cognition, motivation, and dissemination behavior. Based on the theory of perceived risk and the Situational Theory of Problem-Solving (STOPS), this study builds a model demonstrating the factors that affect the health information communicant activeness of residents’ outdoor activities under public health emergencies and conducts empirical analysis through questionnaires and a structural equation model. Results showed that (1) perceived risk, problem recognition, and involvement recognition positively affected health information communicant activeness through situational motivation; (2) constraint recognition negatively affects health information communicant activeness through situational motivation; and (3) the referent criterion has a direct effect on communicant activeness. This study has great significance for understanding residents’ health information communicant activeness in outdoor activities and providing them with high-quality health information services. Full article
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15 pages, 1076 KiB  
Article
Motivations Influencing Alipay Users to Participate in the Ant Forest Campaign: An Empirical Study
by Shujie Wang, Mohammed Habes Ibrahiem and Mengyu Li
Int. J. Environ. Res. Public Health 2022, 19(24), 17034; https://doi.org/10.3390/ijerph192417034 - 18 Dec 2022
Cited by 13 | Viewed by 3845
Abstract
As one of the largest payment platforms in China, Alipay, launched a green behavior project called Ant Forest. The purpose of taking this initiative by Alipay is to make the world greener. This mobile application has motivated many users to plant millions of [...] Read more.
As one of the largest payment platforms in China, Alipay, launched a green behavior project called Ant Forest. The purpose of taking this initiative by Alipay is to make the world greener. This mobile application has motivated many users to plant millions of trees. However, minimal studies have been conducted to empirically disclose the factors that motivate Alipay users to participate in Ant Forest. A mixed-method approach is used to examine the factors influencing Alipay users to participate in Ant Forest and the level of satisfaction they got from it. The qualitative method was carried out through a structured questionnaire from 400 Alipay users and qualitative data from 20 users who have applied to Ant Forest and successfully planted trees. Additionally, alongside the mixed method employed to rationalize the relationship highlighted, a multiple regression model was employed to predict the value of a dependent variable (level of satisfaction) based on the value of several independent variables (namely, number of years engaged with Ant Forest activities, age, gender, profession, and education). The empirical results show that intrinsic motivations (enjoyment, social interaction, fulfilment, altruism) and extrinsic motivations (external rewards, competition) influence Alipay users to participate in the Ant Forest project. Further insights are presented in the concluding section for all stakeholders for environmental sustainability among the users of Alipay. Full article
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22 pages, 1022 KiB  
Article
From Bureaucratic Coordination to a Data-Driven Model: Transformation and Capacity Building of Community-Based Prevention and Control of Public Health Events
by Mingxia Xian, Chong Zhao and Yicheng Zhou
Int. J. Environ. Res. Public Health 2022, 19(14), 8238; https://doi.org/10.3390/ijerph19148238 - 6 Jul 2022
Cited by 2 | Viewed by 1866
Abstract
Communities are the first line of defense in responding to major public health events. Taking the community-based prevention and control cases of COVID-19 in China as samples, this paper constructs an analytical framework for the generation of community-based prevention and control capacity of [...] Read more.
Communities are the first line of defense in responding to major public health events. Taking the community-based prevention and control cases of COVID-19 in China as samples, this paper constructs an analytical framework for the generation of community-based prevention and control capacity of public health events from the perspective of governance elements optimization based on the methods of text analysis and limits-to-growth archetype analysis. According to the research, the community-based prevention and control of public health events realizes the integration of governance elements of key actors through the bureaucratic coordination mode and maximizes the prevention and control efficiency with the primary goal of epidemic prevention and control in a short period of time, which presents a “reinforcing feedback” loop in the “limits-to-growth” model system. However, with the development of the epidemic showing a strong trend of being latent and wide spread, the “reinforcing feedback” from the bureaucratic coordination model on the effect of epidemic prevention and control encounters the “regulatory feedback” that inhibits the growth at the data-driven level. On the basis of discussing the practice of the public health prevention and control mode in the grassroots communities under the established political framework, this paper attempts to construct an institutional reform system from technological governance to technological empowerment, so as to effectively realize the mode transformation of community-based prevention and control of public health events. Full article
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