Sustainability Analytics and Modeling最新文献

{"title":"Charging ahead: Prioritizing renewable energy for electric minibuses in the Philippines","authors":"Thomas Stringer ,&nbsp;Sandy Mae Gaspay ,&nbsp;Varsolo Sunio ,&nbsp;Manuel Burelo","doi":"10.1016/j.samod.2025.100038","DOIUrl":"10.1016/j.samod.2025.100038","url":null,"abstract":"<div><div>This study evaluates the environmental and economic impacts of transitioning to electric minibuses (e-jeepneys) in the informal transportation sector of the Philippines. Using a comprehensive model that simulates different e-jeepney uptake scenarios and electricity grid configurations, we analyze carbon emissions and energy costs. Data from the 2023 energy grid and vehicle emission standards are utilized to assess various grid scenarios, including net-zero and natural gas options. Our findings reveal that a 10% increase in e-jeepney uptake results in significant reductions in both carbon emissions (36 gCO2/km) and energy costs (0.70 PHP/km) when paired with a decarbonized grid. The study underscores the synergistic benefits of combining e-jeepney adoption with grid decarbonization and suggests that policymakers should pursue integrated strategies to maximize environmental and economic gains.</div></div>","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"5 ","pages":"Article 100038"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137950","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}

{"title":"Modeling sustainable crowd logistics delivery networks: A scoping systems thinking review","authors":"Florian Cramer ,&nbsp;Christian Fikar","doi":"10.1016/j.samod.2025.100039","DOIUrl":"10.1016/j.samod.2025.100039","url":null,"abstract":"<div><div>Traditional logistics systems face numerous challenges, such as driver shortages, low load factors, and increasingly high barriers to urban distribution. One concept that can mitigate many of these issues is crowd logistics, i.e., the utilization of unused private transport capacities. Despite the advertised benefits of crowd logistics, such as cost, mileage, and emissions reductions, real-world implementations are rare. Many initiatives have been short-lived, and there is a general lack of integration with traditional logistics service providers. Yet, underlying system behavior and intricate interlinkage of crowd logistics system components remain mostly unexplored. Consequently, this research uses a scoping literature review approach combined with elements from systems thinking to explore the causal dependencies and future research opportunities with respect to crowd logistics system behavior for deliveries. Through the review of scientific literature, causal loop diagrams are developed and analyzed concerning the dynamics and potentially prevalent system archetype structures to facilitate insights into crowd logistics systems. Our work shows that combining a scoping literature review with a systems thinking approach can yield valuable insights into system structures and future research opportunities. We identify critical system interlinkages and dynamics, offering a foundation for future quantitative modeling and decision-making in sustainable operations. Furthermore, the work outlines future research directions, such as novel application areas or further elucidating the effects of control mechanisms.</div></div>","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"5 ","pages":"Article 100039"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143611259","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}

{"title":"Improving the resilience of socio-technical urban critical infrastructures with digital twins: Challenges, concepts, and modeling","authors":"Tobias Gebhard,&nbsp;Bernhard J. Sattler,&nbsp;Jonas Gunkel,&nbsp;Marco Marquard,&nbsp;Andrea Tundis","doi":"10.1016/j.samod.2024.100036","DOIUrl":"10.1016/j.samod.2024.100036","url":null,"abstract":"<div><div>The increasing number of crises, including natural disasters and military conflicts, underscores the importance of resilient critical infrastructures (CIs), especially for urban areas. However, current approaches for CI modeling, monitoring, and resilience assessment are lacking a holistic view of cities as complex, interconnected, and socio-technical systems. This paper explores the application of the Digital Twin (DT) concept as a promising tool to assess and improve the resilience of urban CIs in light of various hazards. DTs are virtual real-time representations of a physical system that can be used to perform real-time analysis, simulate what-if scenarios, and provide decision support, during crises and normal operations. To this end, we identify and discuss key challenges for the development of Urban Digital Twins (UDTs), including data management, technical and social modeling of CIs, integrated CI co-simulations, model validation, and resilience assessment. To address the complex nature of urban areas as systems-of-systems, we present overarching modeling concepts by considering CI interdependencies and socio-technical interactions, resulting in the concept of the Socio-technical Digital Twin (STDT). Beside incorporating agent-based modeling, we discuss the issue of demand synchronization and propose the concepts of model selection and model transfer to facilitate the modeling process for UDTs. Furthermore, a multi-layered modeling framework for interdependent urban CIs is presented, where the proposed concepts are integrated and an overview and discussion of the technical and social modeling of CIs is provided, with a particular focus on the power, water, and transportation domain. Finally, we deal with the quantitative resilience assessment for interconnected CIs and discuss ways of integrating these methodologies in DTs. Our approach frames CIs as socio-technical systems and integrates the human perspective into the modeling process and resilience assessment. The presented modeling framework can be used to simulate various scenarios for analyzing their consequences in advance and measuring resilience in a holistic context. Moreover, the proposed concepts and modeling approaches can support future developments towards UDTs for crisis management.</div></div>","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"5 ","pages":"Article 100036"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137952","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}

{"title":"Unlocking the nexus: Tourism, clean energy, innovation, and environmental sustainability in the top 20 tourist nations","authors":"Md Qamruzzaman","doi":"10.1016/j.samod.2024.100037","DOIUrl":"10.1016/j.samod.2024.100037","url":null,"abstract":"<div><div>This study investigates the interplay between tourism activities, renewable energy utilization, and environmental impacts by analyzing a panel of the top 20 tourism nations over the period from 2005 to 2020. This research is motivated by an increasing interest in the intersection of tourism, a significant economic driver, and the objectives of environmental sustainability. The discourse surrounding the impact of tourism on environmental health is substantial, particularly in relation to the adoption of renewable energy and the carbon footprint associated with the sector. The research posits that the advancement of tourism has a beneficial impact on the consumption of renewable energy, subsequently aiding in the promotion of environmental sustainability. This analysis delves into the dual impact of tourism, suggesting that while it has the potential to enhance the utilization of renewable energy, it may concurrently present challenges to the quality of the environment. The investigation utilizes sophisticated econometric modelling methodologies, namely the Cross-Sectional Autoregressive Distributed Lag (CS-ARDL) and Nonlinear Autoregressive Distributed Lag (NARDL) models, to analyze these relationships. The methodologies employed facilitate a comprehensive examination of both short-term and long-term impacts within the chosen nations throughout the designated timeframe. The results indicate a statistically significant and positive correlation between the development of tourism and the consumption of renewable energy, thereby reinforcing the hypothesis that an increase in tourism activity is associated with a rise in the utilization of clean energy sources. The observed relationship is consistent across both short-term and long-term analyses, indicating that tourism contributes positively to the adoption of renewable energy. The study reveals that tourism not only facilitates the integration of renewable energy but is also linked to environmental degradation, underscoring the imperative for sustainable practices. The research findings indicate that tourism has the potential to catalyze the adoption of renewable energy, presenting significant advantages for environmental sustainability.</div></div>","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"5 ","pages":"Article 100037"},"PeriodicalIF":0.0,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143137951","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}

{"title":"The world population development according to a dynamic extension of the Wicksellian production function","authors":"Robert W. Grubbström","doi":"10.1016/j.samod.2024.100035","DOIUrl":"10.1016/j.samod.2024.100035","url":null,"abstract":"<div><div>Based on UN figures for the World Population Development combined with the Wicksellian production function, we develop expressions for how the population development depends on capital (saved income) and the maximisation of future discounted per capita consumption.</div><div>We prefer to adopt the term <em>Wicksellian function</em>, rather than the widely used name <em>Cobb-Douglas function</em>, since it was first published by Knut Wicksell (1851 - 1926) and two years after his death, the same function was published by Charles W. Cobb and Paul H. Douglas, (Wicksell 1916, Cobb and Douglas 1928, Olsson 1971).</div><div>In a recent paper the Wicksellian production function has been extended by means of the <em>Calculus of Variations</em> to take care of the fact that the production factor capital is an accumulation of previously saved income, which is a result of previous production activities, (Grubbström 2024). There, the population development was assumed as given. Instead, in this paper using the same method, it is assumed to be a consequence of the opportunity to consume that is offered by labour and capital according to this production function.</div><div>It is shown that if the population develops in this “natural” way, then there is no risk for any Malthusian Catastrophe, and that the living standard of the population (<em>consumption per capita</em>) will grow at a rate determined by the discount rate times the propensity to save, but the size of the population will decrease, once it has reached its peak (at the end of this current century).</div><div>We also show that with our approach, the <em>propensity to consume</em> is the <em>weight of labour input</em> in the Wicksellian function (apart from earlier interpretations of this weight).</div><div>Our approach is analogous to <em>Hamilton's principle of stationary action</em> for finding the behaviour of dynamical mechanical systems in a general configuration space.</div></div>","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"4 ","pages":"Article 100035"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143093868","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}

{"title":"Editorial sustainability in retail supply chains: Making a better world in retailing from sourcing to consumption","authors":"Alexander Hübner ,&nbsp;Heinrich Kuhn ,&nbsp;Gerhard-Wilhelm Weber","doi":"10.1016/j.samod.2024.100032","DOIUrl":"10.1016/j.samod.2024.100032","url":null,"abstract":"","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"4 ","pages":"Article 100032"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143093870","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}

{"title":"An integrated inventory model for a supply chain system with two competing retailers, carbon emissions, and price-and-service dependent demand","authors":"Wakhid Ahmad Jauhari ,&nbsp;Ivan Darma Wangsa ,&nbsp;Amanda Sofiana ,&nbsp;Dana Marsetiya Utama","doi":"10.1016/j.samod.2024.100029","DOIUrl":"https://doi.org/10.1016/j.samod.2024.100029","url":null,"abstract":"<div><p>This study develops a mathematical model for a supply chain system with a single supplier and two competing retailers. The selling price and service level are two aspects determining the demand. Investments in service level are also considered to enhance the service environment in the stores. Both parties in the supply chain system employ a periodic review policy to regulate the inventory level in a stochastic setting. This study includes a carbon tax regulation to reduce emissions in the observed system. The proposed model contributes to the current inventory literature by allowing the inclusion of price and service-dependent demand, competition between two retailers, investment in service level, and carbon emissions. The objective of this study is to maximize the joint total profit by optimizing the selling price, service level, safety factor, review period, and number of shipments. An algorithm is developed to solve the proposed problem and its application is validated with a numerical example. The results show that retailers' demand level, selling price, and service are sensitive to emissions and profit. Additionally, investment and carbon tax regulations are effective in raising service levels and reducing emissions, respectively. This research can help decision-makers select the optimal action to improve the effectiveness of the supply chain system, optimize product sales, and emphasize environmental considerations.</p></div>","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"4 ","pages":"Article 100029"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667259624000018/pdfft?md5=1752b68efdaa9088874f75040d9b0d4e&pid=1-s2.0-S2667259624000018-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140555240","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}

{"title":"Network-based method for assessing multi-modal transportation network vulnerability to cascading failures","authors":"Jingran Sun ,&nbsp;Kyle Bathgate ,&nbsp;Shidong Pan ,&nbsp;Zhanmin Zhang","doi":"10.1016/j.samod.2024.100034","DOIUrl":"10.1016/j.samod.2024.100034","url":null,"abstract":"<div><div>Transportation systems are vulnerable to disruptive events such as natural disasters, industrial accidents, terrorist attacks, and climate change. Vulnerability assessment is necessary to understand the impacts of these disruptive events, identify underlying deficiencies within the network, and improve transportation system resilience. Multi-modal transportation networks are often interdependent and form a “system of systems”, which creates a susceptibility to cascading indirect impacts within the integrated transportation network. Accurately modeling these interdependencies typically requires a large amount of data, such as traffic flow and travel demand information for transportation systems, which may not be available or accessible. This paper proposes a network topology-based framework to conduct an interdependent transportation network vulnerability analysis by introducing an algorithm to simulate cascading failures across transport systems. The proposed framework estimates the vulnerability of the network with respect to a specific hazard, combining the network topology and the functional attributes of the transportation infrastructure components. A case study with real-world data is conducted to demonstrate the applicability of the framework to the Houston freight transportation network, and to understand the network performance under different scenarios. This study presents an alternate method that stakeholders may use to assess interdependent transportation network vulnerability when more detailed flow-based data is not available.</div></div>","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"4 ","pages":"Article 100034"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143093869","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}

{"title":"Statistical analysis of total quality management employees, customers, suppliers, and management dimensions in hotel industries in Jaipur city, Rajasthan, India","authors":"Dharmendra Hariyani ,&nbsp;Poonam Hariyani ,&nbsp;Sanjeev Mishra ,&nbsp;Milind Kumar Sharma","doi":"10.1016/j.samod.2024.100033","DOIUrl":"10.1016/j.samod.2024.100033","url":null,"abstract":"<div><div>With the market competition, hotel industries focus on the quality requirements of customers and the market. To build total quality management (TQM) in the hotel industry value chain, the hotel industries are focusing on the customers, suppliers, employees, and management dimensions of TQM. The purpose of this study is to analyze the priorities of these TQM dimensions or philosophies in hotel industries in Jaipur City, Rajasthan, India. The study adopts a survey approach for identifying the priorities given by the hotel industries to build total quality management in the hotel value chain. The results show that the hotel industries weigh all four dimensions for total quality management. The customers’ dimensions are the first and most important dimension, then management dimensions, then employees’ dimensions, and the suppliers’ dimensions for total quality management in hotel industries. A collaborative strategic approach by the hotel management, involving customers, suppliers, and employees, has to be adopted to design the hotel industry value chain to meet the business sustainability requirements, and customers’ requirements, and to gain the competitive advantage of TQM. The study also highlights that integration of sustainability with the TQM framework is essential for the hotel industry as it enhances operational efficiency and reduces environmental impact. This approach will support long-term profitability and align with increasing customer demand for sustainable practices in the tourism and hospitality sector.</div></div>","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"4 ","pages":"Article 100033"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142698675","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}

{"title":"On the importance of adopting a multi-centrality approach to detecting the vital nodes of urban road networks","authors":"Zahra Khoshouei Esfahani ,&nbsp;Meisam Akbarzadeh ,&nbsp;Francesco Corman","doi":"10.1016/j.samod.2024.100031","DOIUrl":"10.1016/j.samod.2024.100031","url":null,"abstract":"<div><p>Transportation networks are prone to various types of disturbances, ranging from regular rush hour congestion to occasional closures due to construction zones, accidents, etc. It is impossible to avoid all disruptions, but detecting the critical points of networks (i.e., nodes that noticeably affect the connectedness of the network when closed) would help urban transportation managers prioritize preventive actions. Centrality measures are used to quantify the importance of network nodes. In this study, we calculated various centrality measures for six existing urban road networks and evaluated their importance to the connectivity and functionality of the networks via a percolation method. Along with well-established centrality measures such as betweenness, communicability, and the clustering coefficient, we evaluated the collective influence (CI) and the enhanced collective influence (ECI) indices in a transportation context. We found that nodes with high values of CI or ECI are not the ones with high values of betweenness, communicability and the clustering coefficient. Nevertheless, failures of nodes with high values of CI, ECI or betweenness centrality most significantly affect the connectivity and functionality of urban road networks. We identified three distinct sets of vital nodes in the networks we analyzed. Hence, we conclude that a set of centrality measures should be used to detect vital topological nodes of urban networks rather than just one centrality measure. Moreover, we investigated employing various aspects of CI and ECI to reveal the critical nodes of urban road networks.</p></div>","PeriodicalId":101193,"journal":{"name":"Sustainability Analytics and Modeling","volume":"4 ","pages":"Article 100031"},"PeriodicalIF":0.0,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2667259624000031/pdfft?md5=dd3baef20c3301bcc44bc84b2e222476&pid=1-s2.0-S2667259624000031-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141984795","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}