{"title":"Low-carbon route optimization model for multimodal freight transport considering value and time attributes","authors":"Xinghui Chen , Xinghua Hu , Haobing Liu","doi":"10.1016/j.seps.2024.102108","DOIUrl":"10.1016/j.seps.2024.102108","url":null,"abstract":"<div><div>As the international community increasingly focuses on climate change, optimizing low-carbon transportation routes in the multimodal freight transport system has become a pressing issue. However, due to the variability in cargo properties and the influence of various factors on transportation route decisions, formulating a low-carbon and economical multimodal freight transport plan remains a significant challenge. To address the issue, this study considered cargoes with different attributes in terms of both value and time attributes. Triangular fuzzy numbers were employed to represent the uncertain demand for cargo, with confidence levels introduced for clarification. A low-carbon route decision optimization model for multimodal freight transport was established to minimize the combined transportation carbon emission and time costs. The catastrophe adaptive genetic algorithm, based on Monte Carlo sampling, was employed to solve the model using arithmetic examples. Finally, parameter sensitivity analysis revealed that adjustments to carbon tax values and changes in the proportion of electric trucks and green electricity supply had the most significant impact on the low-carbon route decision-making plan for multimodal freight transport. For low value-added and timeliness-strong cargo, a 60 % increase in carbon tax value shifted the mode of transportation from road to railway. When the carbon tax increased by more than 140 %, the transportation mode shifted from railway to waterway. Additionally, when the proportion of electric trucks and green electricity supply both exceeded 80 %, the transportation mode between some city nodes shifted from railway to road. When these proportions increased beyond 90 %, road transportation became the predominant mode.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102108"},"PeriodicalIF":6.2,"publicationDate":"2024-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651419","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Measurement and comparison of different dimensions of renewable energy policy implementation in the agricultural sector","authors":"Somayeh Dehhaghi , Shahla Choobchian , Hossein Azadi","doi":"10.1016/j.seps.2024.102106","DOIUrl":"10.1016/j.seps.2024.102106","url":null,"abstract":"<div><div>The current research aims to measure the different dimensions of renewable energy policy implementation and compare these dimensions with each other, focusing on Iran's agricultural sector. This analysis makes it possible to identify the strengths and weaknesses in implementing existing policies. The five dimensions include “organizational and institutional”, “incentives”, “investment”, “infrastructure”, and “human resources development”. The statistical population of this research comprised energy policy experts, whose number was 85. The sampling method was random, and 70 persons participated in answering the questionnaire using the Karjesi and Morgan table. A questionnaire was used to collect data. The reliability of the questionnaire was calculated using Cronbach's alpha (0.916). Face validity, content validity ratio (CVR), and content validity index (CVI) were applied to determine validity. In the calculation of CVR, values ≥ 0.33 were considered reasonable and appropriate to confirm each item. All CVI values obtained were higher than 0.79. Multi-criteria analysis was used to analyze the data. The results indicated that organizational and institutional policies were at the highest level of unsustainability. The dimension of investment policies showed less unsustainability than other dimensions. The other three dimensions also showed significant deficiencies. It seems that policy development to eliminate the diversity and interference of organizations, fuel subsidies revision, market policy development, attracting capital, and participation of stakeholders is necessary to reduce unsustainability in this field. The development of the resources of expert forces and attention to educational policies should also be considered.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102106"},"PeriodicalIF":6.2,"publicationDate":"2024-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Riccardo Ievoli , Rosa Vinciguerra , Adriana Bruno
{"title":"Investigating water sustainability towards indicators: An empirical illustration using country-level data","authors":"Riccardo Ievoli , Rosa Vinciguerra , Adriana Bruno","doi":"10.1016/j.seps.2024.102102","DOIUrl":"10.1016/j.seps.2024.102102","url":null,"abstract":"<div><div>This paper contributes to the academic debate on the construction of synthetic indices with respect to water-based sustainability analysis. In this regard, the United Nations Sustainable Development Goal (SDG) 6.4 specifically considers the progress on water-use efficiency within the target of ensuring access to water and sanitation (SDG 6). Our contribution investigates the levels of water sustainability reached by countries around the world considering a suitable measure of the goal obtained by aggregating variables available at the national level, i.e. water efficiency (SDG 6.4.1) and stress (SDG 6.4.2).</div><div>The construction of a composite index for SDG 6.4 is discussed through the usual steps of normalization, aggregation, and weighting, also highlighting the pros, cons and issues encountered in each step. Fundamental issues faced in the construction of synthetic indices are also discussed: different methods for performing the above steps are compared, and uncertainty analysis is carried out to understand which methods could be reasonably suitable to measure the synthetic indicator of the entire target. As a further theoretical contribution, we illustrate some arguments in favor of the application of categorical scales for normalization, even if the results of some countries seem to be particularly sensitive to the choice of weights in the aggregation phase.</div><div>Results, obtained after examining univariate and multivariate descriptive statistics, show that the best performances can be observed in small and medium European countries and sub-Saharan African nations (such as Congo, Gabon, and Angola), while the lowest levels appear to be located in Central Asia, the Middle East, and North Africa.</div><div>A natural implication of this research is its contribution to valorizing the social capital of a regional area, stimulating new approaches to environmental issues, informing public debate, and influencing policy-making.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"96 ","pages":"Article 102102"},"PeriodicalIF":6.2,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142651418","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sandip Nandi , Giuseppe Granata , Subrata Jana , Neha Ghorui , Sankar Prasad Mondal , Moumita Bhaumik
{"title":"Evaluation of the treatment options for COVID-19 patients using generalized hesitant fuzzy- multi criteria decision making techniques","authors":"Sandip Nandi , Giuseppe Granata , Subrata Jana , Neha Ghorui , Sankar Prasad Mondal , Moumita Bhaumik","doi":"10.1016/j.seps.2023.101614","DOIUrl":"10.1016/j.seps.2023.101614","url":null,"abstract":"<div><p>The breakout of the pandemic COVID-19 has affected numerous countries and territories worldwide. As COVID-19 specific medicines yet to be invented, at present the treatment is case specific, hence identification and evaluation of different prevalent treatment options based on various criteria and attributes are very important not only from the point of view of present pandemic but also for futuristic pandemic preparedness. The present study focuses on identifying, evaluation and ranking of treatment options using Multi Criteria Decision Making (MCDM). In this regard, the existing literature, doctors and scientist were interviewed to know the current treatment options in vogue and the scale of their importance with respect to the criteria. The criteria taken are side effect, regime cost, treatment duration, plasma stability, plasma turnover, time of suppression, ease of application, drug-drug interaction, compliance, fever, pneumonia, intensive care, organ failure, macrophage activation syndrome, hemophagocytic syndrome, pregnancy, kidney problem, age. This study extended Hesitant Fuzzy Set (HFS) to Generalized Hesitant Fuzzy Sets (GHFS). Generalized Hesitant Pentagonal Fuzzy Number (GHPFN) is developed. The properties of GHPFN are demonstrated. Two types of GHPFN has been described. The GHPFN (2nd type) along with MCDM tool Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) has been applied to rank the treatment options. The result of the study ranked ‘Hydroxychloroquine’ as the first alternative followed by, ‘Plasma Exchange’, ‘Tocilizumab’, ‘Remdesivir’ and ‘Favipravir’. To check the robustness and steadiness of the proposed methodology, comparative analysis and sensitivity analysis has been conducted.</p></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"88 ","pages":"Article 101614"},"PeriodicalIF":6.1,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241491/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9710770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Farid Kochakkashani , Vahid Kayvanfar , Alireza Haji
{"title":"Supply chain planning of vaccine and pharmaceutical clusters under uncertainty: The case of COVID-19","authors":"Farid Kochakkashani , Vahid Kayvanfar , Alireza Haji","doi":"10.1016/j.seps.2023.101602","DOIUrl":"10.1016/j.seps.2023.101602","url":null,"abstract":"<div><p>As an abrupt epidemic occurs, healthcare systems are shocked by the surge in the number of susceptible patients' demands, and decision-makers mostly rely on their frame of reference for urgent decision-making. Many reports have declared the COVID-19 impediments to trading and global economic growth. This study aims to provide a mathematical model to support pharmaceutical supply chain planning during the COVID-19 epidemic. Additionally, it aims to offer new insights into hospital supply chain problems by unifying cold and non-cold chains and considering a wide range of pharmaceuticals and vaccines. This approach is unprecedented and includes an analysis of various pharmaceutical features such as temperature, shelf life, priority, and clustering. To propose a model for planning the pharmaceutical supply chains, a mixed-integer linear programming (MILP) model is used for a four-echelon supply chain design. This model aims to minimize the costs involved in the pharmaceutical supply chain by maintaining an acceptable service level. Also, this paper considers uncertainty as an intrinsic part of the problem and addresses it through the wait-and-see method. Furthermore, an unexplored unsupervised learning method in the realm of supply chain planning has been used to cluster the pharmaceuticals and the vaccines and its merits and drawbacks are proposed. A case of Tehran hospitals with real data has been used to show the model's capabilities, as well. Based on the obtained results, the proposed approach is able to reach the optimum service level in the COVID conditions while maintaining a reduced cost. The experiment illustrates that the hospitals' adjacency and emergency orders alleviated the service level significantly. The proposed MILP model has proven to be efficient in providing a practical intuition for decision-makers. The clustering technique reduced the size of the problem and the time required to solve the model considerably.</p></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"87 ","pages":"Article 101602"},"PeriodicalIF":6.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10111859/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9672060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Multi-mitigation strategies in medical supplies for epidemic outbreaks","authors":"Yuwei Zhang , Zhenping Li , Yuwei Zhao","doi":"10.1016/j.seps.2023.101516","DOIUrl":"10.1016/j.seps.2023.101516","url":null,"abstract":"<div><p>The outbreak of Coronavirus disease 2019 (COVID-19) highlights the importance of sufficient medical supplies stockpiling at the pre-event stage. In contrast, the potential disadvantages of maintaining adequate items at strategic locations (i.e., reserves) are considerable inventory-related costs. Unpredicted demand leads to a high degree of uncertainty. Efforts to mitigate the uncertainty should rely not only on prepositioning supplies at reserves but also on integrating various channels of medical materials. This paper proposes multi-mitigation strategies in medical supplies to ensure uninterrupted supply for hospitals and significant savings by introducing two-type suppliers, reserving and manufacturing suppliers. Thus, each hospital with uncertain demand is enabled to be served by various channels during pandemics: prepositioning in reserves, backups served by reserving suppliers, and medical commodities produced by manufacturing suppliers. Stochasticity is also incorporated into the raw materials available to produce. This research aims to develop an emergency response application that integrates preparedness action (reserve location, inventory level, and contract supplier's selection) with post-event operations (allocating medical materials from various channels). We formulate a two-stage stochastic mixed integer program to determine prepositioning strategy, including two-type suppliers' selection, and post-event allocation of multiple sources. A branch-and-Benders-cut method is developed for this problem and significantly outperforms both the classical Benders decomposition and Gurobi in the solution time. Different-sized test instances also verify the robustness of the proposed method. Based on a realistic and typical case study (inspired by the COVID-19 pandemic in Wuhan, China), significant savings, an increase in inventory utilization and an increase in demand fulfilment are obtained by our approach.</p></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"87 ","pages":"Article 101516"},"PeriodicalIF":6.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9867827/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9615416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Risk management in humanitarian supply chain based on FMEA and grey relational analysis","authors":"Glenda Minguito, Jenith Banluta","doi":"10.1016/j.seps.2023.101551","DOIUrl":"10.1016/j.seps.2023.101551","url":null,"abstract":"<div><p>The COVID-19 pandemic has disrupted the humanitarian supply chain management (HSCM) necessary for delivering emergency items during the disaster. The combined effects of climate change and the pandemic uncover the vulnerabilities of humanitarian supply chain operations and highlight the importance of risk management. This study aimed to identify priority risk factors and proposed mitigating risk strategies of a local government that is at the forefront of relief operations. It used Grey Relational Analysis (GRA) method to validate the Failure Mode and Effect Analysis (FMEA) approach in identifying priority issues relating to the supply chain risks. This paper reveals that the results of FMEA and GRA are almost similar.</p></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"87 ","pages":"Article 101551"},"PeriodicalIF":6.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9995317/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9672062","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Luís S. Gomes, Sérgio P. Santos, Luís Serra Coelho, Efigénio L. Rebelo
{"title":"Using MCDA to assist an Intermunicipal community develop a resilience strategy in face of the pandemic caused by the SARS-CoV-2","authors":"Luís S. Gomes, Sérgio P. Santos, Luís Serra Coelho, Efigénio L. Rebelo","doi":"10.1016/j.seps.2023.101588","DOIUrl":"10.1016/j.seps.2023.101588","url":null,"abstract":"<div><p>The topic of regional economic resilience has been the subject of intense debate in the academic and political fields over the past decade and gained a new sense of urgency because of the pandemic caused by the SARS-CoV-2 virus as territories faced relevant impacts on their economies and social structures. The economic downturn, the increase in unemployment, and the deterioration of social conditions lead policy makers to search for solutions to make their territories more resilient to this type of event. The current article discusses how multicriteria decision analysis (MCDA) was used to help a Portuguese Intermunicipal Community, formed by 16 councils, develop a strategy to make its territory more cohesive, competitive, sustainable, and resilient. In addition to discussing an innovative application of a MCDA technique, this article illustrates how, through a MCDA approach, it was possible to reach a consensus among several policymakers, despite each of them having their own political agendas.</p></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"87 ","pages":"Article 101588"},"PeriodicalIF":6.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10065054/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9924273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lucas Rodrigues Deliberador , Alexandre Borges Santos , Pâmella Rodrigues Silva Carrijo , Mário Otávio Batalha , Aldara da Silva César , Luís Miguel D.F. Ferreira
{"title":"How risk perception regarding the COVID-19 pandemic affected household food waste: Evidence from Brazil","authors":"Lucas Rodrigues Deliberador , Alexandre Borges Santos , Pâmella Rodrigues Silva Carrijo , Mário Otávio Batalha , Aldara da Silva César , Luís Miguel D.F. Ferreira","doi":"10.1016/j.seps.2023.101511","DOIUrl":"10.1016/j.seps.2023.101511","url":null,"abstract":"<div><p>Food waste is a worldwide problem. One third of the food produced in the world is lost or wasted every year. Most of this waste takes place downstream of the supply chain due to consumer behavior. This issue is expected to increase in both developed and emerging economies. With the beginning of the COVID-19 pandemic, a range of challenges led to changes in consumer behavior. This study explores household food waste behavior during the COVID-19 pandemic through the lens of the Theory of Planned Behavior. The risk perception regarding the pandemic was integrated into a broader framework, which was analyzed by Structural Equation Modeling. The sample comprises the participation of 452 Brazilian individuals. The results show that all the predictors incorporated in the model were statistically significant. The intention of reducing household food waste during the pandemic was found to be the strongest predictor of food waste behavior. Additionally, the pandemic apparently influenced consumers' perceptions about the control they think they have over food waste. This research has theoretical and managerial implications. From a theoretical perspective, this study identifies key predictors of household food waste by considering a period of health crisis in an emerging country. From a managerial standpoint, this research may provide a learning experience for future similar scenarios. Results may also motivate consumers to look for ways to reduce, reuse and recycle food waste.</p></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"87 ","pages":"Article 101511"},"PeriodicalIF":6.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9839387/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9971079","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Saifur Rahman Tushar , Md. Fahim Bin Alam , A.B.M. Mainul Bari , Chitra Lekha Karmaker
{"title":"Assessing the challenges to medical waste management during the COVID-19 pandemic: Implications for the environmental sustainability in the emerging economies","authors":"Saifur Rahman Tushar , Md. Fahim Bin Alam , A.B.M. Mainul Bari , Chitra Lekha Karmaker","doi":"10.1016/j.seps.2023.101513","DOIUrl":"10.1016/j.seps.2023.101513","url":null,"abstract":"<div><p>Emerging economies are struggling with proper and efficient management of waste due to their constrained resources and weak management. In recent days, this crisis has worsened due to the outbreak of the highly contagious COVID-19 pandemic. To avoid building up stockpiles and contaminating communities with potentially contagious medical waste (MW), and to ensure sustainability in the current and post-COVID-19 era, it is a dire need to develop and implement a safe and efficient medical waste management (MWM) system. This research, thereby, aims to identify, assess, and prioritize the key challenges to efficient and sustainable MWM to mitigate the impacts of the disruptions caused by situations like the pandemic in emerging economies. An integrated approach consisting of the Best-Worst Method (BWM), Interpretive Structural Modeling (ISM), and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) has been proposed to achieve the objectives. Based on the literature review and expert feedback, a total of seventeen challenges were identified and later prioritized by using BWM. The top twelve challenges have been further analyzed using ISM-MICMAC to examine their interrelationships. This study reveals that lack of proper law enforcement and insufficient financial support from investors and the government are two crucial challenges for efficient MWM implementation. The research insights can assist healthcare facility administrators, practitioners, and city managers in identifying the associated challenges and shaping strategic decisions for establishing and managing efficient MWM systems to ensure sustainable development in the post-COVID-19 era.</p></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"87 ","pages":"Article 101513"},"PeriodicalIF":6.1,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846901/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9971074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}