Sustainability Analytics and Modeling最新文献_第5页

Applying probabilistic mathematical modeling approach and AI technique to investigate serious train accidents in Japan 应用概率数学建模方法和人工智能技术调查日本严重列车事故

Sustainability Analytics and Modeling Pub Date : 2022-01-01 DOI: 10.1016/j.samod.2022.100005

Tatsuo Oyama , Masashi Miwa

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引用次数: 3

Political stability effect on environment and weak sustainability in Asian countries 政治稳定对环境的影响和亚洲国家的弱可持续性

Sustainability Analytics and Modeling Pub Date : 2022-01-01 DOI: 10.1016/j.samod.2022.100007

Lotfali Agheli , Vahid Mohamad Taghvaee

{"title":"Political stability effect on environment and weak sustainability in Asian countries","authors":"Lotfali Agheli , Vahid Mohamad Taghvaee","doi":"10.1016/j.samod.2022.100007","DOIUrl":"10.1016/j.samod.2022.100007","url":null,"abstract":"<div><p>A healthy and clean environment is a place for healthy production and consumption. Environmental quality decreases due to human intervention. In addition to human activities, the type of governance system and political regime causes the destruction or improvement of the environment. This paper investigates the role of political stability on weak sustainability in a sample of 43 Asian countries during 2000–2019. Control variables are government size, trade, and population density. Based on the results, political stability and lack of violence have positive effect on Adjusted Net Saving (ANS) ratio, while government size affects ANS negatively. In addition, trade impacts on weak sustainability in the current sample, rejecting pollution haven hypothesis. The effect of population density on ANS is positive. This effect is unexpected which requires further studies. According to our findings, Asian countries should follow stabilizing policies, especially in political races and campaigns.</p></div>","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"2 ","pages":"Article 100007"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667259622000054/pdfft?md5=2bd8db84be782b1cd34f7f4033728969&pid=1-s2.0-S2667259622000054-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81869629","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Local integrated air quality predictions from meteorology (2015 to 2020) with machine and deep learning assisted by data mining 利用数据挖掘辅助的机器和深度学习，从气象学(2015年至2020年)进行当地综合空气质量预测

Sustainability Analytics and Modeling Pub Date : 2022-01-01 DOI: 10.1016/j.samod.2021.100002

David A. Wood

{"title":"Local integrated air quality predictions from meteorology (2015 to 2020) with machine and deep learning assisted by data mining","authors":"David A. Wood","doi":"10.1016/j.samod.2021.100002","DOIUrl":"10.1016/j.samod.2021.100002","url":null,"abstract":"<div><p>Overall air quality local indices can usefully be established by combining normalised values of common individual pollutant values. This reveals distinctive seasonal trends that are strongly influenced by local meteorological conditions. A newly compiled dataset for 2015 to 2020 covering Dallas County (USA), combining six pollutants into a combined local area benchmark (CLAB), is assessed in terms of eleven meteorological variables. It is possible to distinguish the effects of lock-down induced impacts in the CLAB index and some of its component pollutants during 2020. Nine machine learning and three deep learning algorithms are compared in their abilities to predict CLAB from the meteorological variables on supervised and unseen bases. Prediction results for 2019 and 2020 are distinctive for annual and quarterly timeframes. In-depth prediction outlier analysis using a transparent data-matching algorithm provides insight to the few data records for which CLAB is not accurately predicted from ground-level meteorological data.</p></div>","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"2 ","pages":"Article 100002"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667259621000023/pdfft?md5=37b03ebad1223de314e4249cea1bb045&pid=1-s2.0-S2667259621000023-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86120157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Measures of Sustainability in Healthcare 医疗保健可持续性措施

Sustainability Analytics and Modeling Pub Date : 2021-01-01 DOI: 10.1016/j.samod.2021.100001

Rama Mehra, Milind Kumar Sharma

{"title":"Measures of Sustainability in Healthcare","authors":"Rama Mehra, Milind Kumar Sharma","doi":"10.1016/j.samod.2021.100001","DOIUrl":"10.1016/j.samod.2021.100001","url":null,"abstract":"<div><p>Under the context of the 2030 agenda of the United Nations, sustainability of firms has attracted growing attention. Sustainability and healthcare are intricately related since the quality of our environment affects public health. Based on the acknowledged sustainability practices in healthcare, a compendious theoretical model for sustainability in healthcare has been developed, grounded in appropriate theories. The model encompasses twenty-seven sustainability practices under its triple bottom line (TBL), which have been subsequently reorganized and arranged for analysis into twelve sustainability measures on recommendation from a set of experts. This study investigates the measures of sustainability in Indian healthcare based on an integrated methodology of Analytic Hierarchy Process (AHP) and Interpretive Structural Modelling (ISM). Expert elicitation was employed for establishing the importance, as well as the interrelationships among, the measures. Consequently, a strategic theoretical framework for sustainable healthcare is proposed on the basis of the findings of the ISM method and <em>Matrice d'Impacts Croises Multiplication Appliquee a un Classement</em> (MICMAC) analysis. This work has studied the key measures that emerged for policy, practice, and research. The results suggest that research & innovations and indigenous production are significant drivers of sustainable healthcare. In addition, the mediating measures viz. circular practices, waste reduction and management, integrated facilities design, sustainable procurement, employee satisfaction, and green growth may offer guidance and provide a strong direction to healthcare managers and practitioners in achieving their sustainability goals.</p></div>","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"1 ","pages":"Article 100001"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667259621000011/pdfft?md5=5e043f8c9fd313b9f874f79eeb2c7ad3&pid=1-s2.0-S2667259621000011-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85967566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 10

Design for reusability and product reuse under radical innovation 突破性创新下的可重用性设计和产品重用

Sustainability Analytics and Modeling Pub Date : 2016-03-18 DOI: 10.2139/SSRN.2752343

V. Verter, Tamer Boyacı, Michael R. Galbreth

{"title":"Design for reusability and product reuse under radical innovation","authors":"V. Verter, Tamer Boyacı, Michael R. Galbreth","doi":"10.2139/SSRN.2752343","DOIUrl":"https://doi.org/10.2139/SSRN.2752343","url":null,"abstract":"Many industries, including consumer electronics and telecommunications equipment, are characterized with short product life-cycles, constant technological innovations, rapid product introductions, and fast obsolescence. Firms in such industries need to make frequent design changes to incorporate innovations, and the effort to keep up with the rate of technological change often leaves little room for the consideration of product reuse. In this paper, we study the design for reusability and product reuse decisions in the presence of both a known rate of incremental innovations and a stochastic rate of radical innovations over time. We formulate this problem as a Markov Decision Process. Our steady-state results confirm the conventional wisdom that a higher probability of radical innovations would lead to reductions in the firm's investments in reusability as well as the amount of reuse the firm ends up doing. Interestingly, the design for reusability decreases much more slowly than the actual reuse. We identify some specific scenarios, however, where there is no tradeoff between the possibility of radical innovations and the firms reusability and reuse decisions. Based on over 425,000 problem instances generated over the entire range of model parameters, we also provide insights into the negative impact of radical innovations on firm profits, but show that the environmental impact of increased radical innovation is not necessarily negative. Our results also have several implications for policy makers seeking to encourage reuse.","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"43 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2016-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77985311","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3