Pub Date : 2025-12-08DOI: 10.1016/j.seps.2025.102406
Aysu Ozel , Karen Smilowitz
In transportation and logistics problems, such as the traveling salesman problem or the vehicle routing problem, the geographic distribution of nodes can significantly impact both the solutions obtained and the performance of solution approaches. Therefore, it is common for researchers to share test instances for meaningful comparisons. In some contexts, this is more challenging when data are protected and cannot be shared. This is particularly true for transportation and logistics problems found in public school operations. Despite growing literature, proposed models and solution approaches are rarely compared across papers because data protection regulations prohibit sharing data. At the same time, randomly generated data can miss critical patterns existing in reality that may impact equitable access to education. In this paper, we introduce a framework to create context-rich data sets for school operations models and methods based on publicly available data that reflect public school district characteristics in the United States.
{"title":"Context-rich data sets for school operations models and methods","authors":"Aysu Ozel , Karen Smilowitz","doi":"10.1016/j.seps.2025.102406","DOIUrl":"10.1016/j.seps.2025.102406","url":null,"abstract":"<div><div>In transportation and logistics problems, such as the traveling salesman problem or the vehicle routing problem, the geographic distribution of nodes can significantly impact both the solutions obtained and the performance of solution approaches. Therefore, it is common for researchers to share test instances for meaningful comparisons. In some contexts, this is more challenging when data are protected and cannot be shared. This is particularly true for transportation and logistics problems found in public school operations. Despite growing literature, proposed models and solution approaches are rarely compared across papers because data protection regulations prohibit sharing data. At the same time, randomly generated data can miss critical patterns existing in reality that may impact equitable access to education. In this paper, we introduce a framework to create context-rich data sets for school operations models and methods based on publicly available data that reflect public school district characteristics in the United States.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102406"},"PeriodicalIF":5.4,"publicationDate":"2025-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790383","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}
Pub Date : 2025-12-08DOI: 10.1016/j.seps.2025.102407
Moslem Savari , Bagher Khaleghi
The deforestation phenomenon increases every year all over the world due to human and natural factors and sometimes leaves irreparable negative consequences. Therefore, the majority of countries and related researchers and policy-makers are looking for solutions to prevent further damages to them. In the meantime, in Iran, as a country with limited forest area, they are also being destroyed on a large scale due to local communities being heavily reliant on the forests for their livelihoods and the absence of sustainable resource management. In this regard, this research was aimed at discovering the factors affecting the forest conservation behavior (FCB) in northwestern Iran. Here, Health Belief Model (HBM) was employed as the research theoretical framework. The study utilized questionnaire survey method, and data analysis was conducted using structural equation modeling (SEM). The statistical population was all local people residing on the margins and inside the Arasbaran forests in northwestern Iran. The findings indicated that HBM is an efficient theory in this regard, so that its components including Perceived Susceptibility (PS), Perceived Severity (PSV), Perceived Benefit (PB), Perceived Barriers (PBR), Cue to Action (CU) and Self-Efficacy (SE) were able to explain 61 % of the FCB variance. The results of this effort, while filling the gaps in the research literature in this field, can help the relevant policy-makers and decision-makers in promoting safe behavior in the natural environment and forest sustainability.
{"title":"Perceptions and beliefs of local Iranian communities towards forest protection","authors":"Moslem Savari , Bagher Khaleghi","doi":"10.1016/j.seps.2025.102407","DOIUrl":"10.1016/j.seps.2025.102407","url":null,"abstract":"<div><div>The deforestation phenomenon increases every year all over the world due to human and natural factors and sometimes leaves irreparable negative consequences. Therefore, the majority of countries and related researchers and policy-makers are looking for solutions to prevent further damages to them. In the meantime, in Iran, as a country with limited forest area, they are also being destroyed on a large scale due to local communities being heavily reliant on the forests for their livelihoods and the absence of sustainable resource management. In this regard, this research was aimed at discovering the factors affecting the forest conservation behavior (FCB) in northwestern Iran. Here, Health Belief Model (HBM) was employed as the research theoretical framework. The study utilized questionnaire survey method, and data analysis was conducted using structural equation modeling (SEM). The statistical population was all local people residing on the margins and inside the Arasbaran forests in northwestern Iran. The findings indicated that HBM is an efficient theory in this regard, so that its components including Perceived Susceptibility (PS), Perceived Severity (PSV), Perceived Benefit (PB), Perceived Barriers (PBR), Cue to Action (CU) and Self-Efficacy (SE) were able to explain 61 % of the FCB variance. The results of this effort, while filling the gaps in the research literature in this field, can help the relevant policy-makers and decision-makers in promoting safe behavior in the natural environment and forest sustainability.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102407"},"PeriodicalIF":5.4,"publicationDate":"2025-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737728","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}
This paper investigates households' willingness to pay for sustainable investments using evidence from a pilot lab-in-the-field experiment run in different branches of a large Italian bank. The analysis reveals three main results. First, the willingness to pay is lower for graduated individuals, higher for those with a medium investment horizon, for those engaged in volunteering and for those concerned about climate change. Second, the exposure to a negative (vs. positive) visual treatment, causes an average increase in the willingness to pay for Environmental, Social, and Governance assets, albeit this effect vanishes once controls are added. Third, when dissecting results by the factor of interest, the negative visual treatment significantly increases the willingness to pay among the investors interested in the Environmental dimension only. This suggests that, with suitable leverage, the demand and willingness to pay for all sustainability dimensions can be nudged, with important industry and policy implications.
{"title":"Nudging households' sustainable investments: results from a pilot lab-in-the-field experiment in two Italian cities","authors":"Beatrice Bertelli , Marianna Brunetti , Costanza Torricelli , Mariangela Zoli","doi":"10.1016/j.seps.2025.102405","DOIUrl":"10.1016/j.seps.2025.102405","url":null,"abstract":"<div><div>This paper investigates households' willingness to pay for sustainable investments using evidence from a pilot lab-in-the-field experiment run in different branches of a large Italian bank. The analysis reveals three main results. First, the willingness to pay is lower for graduated individuals, higher for those with a medium investment horizon, for those engaged in volunteering and for those concerned about climate change. Second, the exposure to a negative (vs. positive) visual treatment, causes an average increase in the willingness to pay for Environmental, Social, and Governance assets, albeit this effect vanishes once controls are added. Third, when dissecting results by the factor of interest, the negative visual treatment significantly increases the willingness to pay among the investors interested in the Environmental dimension only. This suggests that, with suitable leverage, the demand and willingness to pay for all sustainability dimensions can be nudged, with important industry and policy implications.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102405"},"PeriodicalIF":5.4,"publicationDate":"2025-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145790465","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}
Pub Date : 2025-12-01DOI: 10.1016/j.seps.2025.102395
Hongyan Li , Dongmei Yu , Mengyuan Zhang
The growing complexity of disasters originating from natural phenomena, compounded by cascading uncertainty, necessitates resilient emergency facilities location planning to enhance response capabilities. To address this challenge, this study proposes a novel “reinforcement-cascading uncertainty-recovery” framework to enhance system resilience. This framework specifically addresses the cascading effect propagation mechanism (CEPM) from supply-side facility disruptions to demand-side nodes, by integrating pre-disaster reinforcement with post-disaster coordinated response. Based on this framework, we develop a two-stage robust optimization model to jointly optimize facility location, structural reinforcement, and resource allocation decisions. A distinctive feature of our model is the decision-dependent uncertainty set, which captures the endogenous effect of reinforcement strategy on facility disruptions, and the cascading effect of facility disruptions on demand fluctuations. To solve the proposed model, we develop a hybrid methodology by combining a neutralization-based uncertainty transformation method with the column and constraint generation (C&CG) algorithm to reformulate and solve the model. Through the earthquake case in Istanbul, we quantify the effect of reinforcement strategy on network resilience, conduct sensitivity analyses on key parameters, and derive critical managerial insights. Our results indicate that, in comparison to the baseline model without reinforcement strategy, the proposed model reduces the number of facilities that need to be opened by approximately 50% while maintaining the desired service level. These findings provide decision-makers with a practical and efficient strategy for enhancing disaster response capabilities under cascading uncertainty.
{"title":"Resilient emergency facilities location–allocation under cascading uncertainty: A two-stage robust optimization model","authors":"Hongyan Li , Dongmei Yu , Mengyuan Zhang","doi":"10.1016/j.seps.2025.102395","DOIUrl":"10.1016/j.seps.2025.102395","url":null,"abstract":"<div><div>The growing complexity of disasters originating from natural phenomena, compounded by cascading uncertainty, necessitates resilient emergency facilities location planning to enhance response capabilities. To address this challenge, this study proposes a novel “reinforcement-cascading uncertainty-recovery” framework to enhance system resilience. This framework specifically addresses the cascading effect propagation mechanism (CEPM) from supply-side facility disruptions to demand-side nodes, by integrating pre-disaster reinforcement with post-disaster coordinated response. Based on this framework, we develop a two-stage robust optimization model to jointly optimize facility location, structural reinforcement, and resource allocation decisions. A distinctive feature of our model is the decision-dependent uncertainty set, which captures the endogenous effect of reinforcement strategy on facility disruptions, and the cascading effect of facility disruptions on demand fluctuations. To solve the proposed model, we develop a hybrid methodology by combining a neutralization-based uncertainty transformation method with the column and constraint generation (C&CG) algorithm to reformulate and solve the model. Through the earthquake case in Istanbul, we quantify the effect of reinforcement strategy on network resilience, conduct sensitivity analyses on key parameters, and derive critical managerial insights. Our results indicate that, in comparison to the baseline model without reinforcement strategy, the proposed model reduces the number of facilities that need to be opened by approximately 50% while maintaining the desired service level. These findings provide decision-makers with a practical and efficient strategy for enhancing disaster response capabilities under cascading uncertainty.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102395"},"PeriodicalIF":5.4,"publicationDate":"2025-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683315","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}
Pub Date : 2025-11-29DOI: 10.1016/j.seps.2025.102393
Fulya Zaralı , Şaban Fatih Yılmaz , Neslihan Demirel , Akram Elomiya , Stefan Jovčić
Significant changes have been observed in the shopping habits of urban populations, particularly following the onset of the COVID-19 pandemic. Shopping by physically going to the store has begun to be replaced by e-commerce shopping, offering advantages such as time savings, a wide variety of options, and opportunities for price comparison. Although online shopping enables modern urbanites to meet their needs comfortably, it increases the volume of commercial traffic in the city, resulting in emissions, parking problems, and air and noise pollution. For last-mile delivery (LMD)—one of the main contributors to commercial traffic in urban centers and defined as delivering orders to end customers—various alternative modes have been introduced in many countries and cities. These alternatives aim to replace conventional home delivery to reduce costs, lower energy consumption and emissions, eliminate failed deliveries, and address challenges such as low vehicle load rates and traffic congestion. Achieving these gains is closely related to the attitude of local authorities and the incentives and infrastructure provided by them. In this study, conventional home delivery and five alternative LMD modes (e-van, e-bike, drone, AGV, droid) are evaluated with a Multi-Criteria Decision-Making (MCDM) approach over a wide set of criteria from the perspective of local authorities. The IF-MAIRCA (Intuitionistic Fuzzy Multi-Attributive Ideal-Real Comparative Analysis) method is used to take into account the uncertainty in LMD processes and the intuition of decision-makers in the problem. The proposed framework is illustrated on a real-life problem in Kayseri, Türkiye. According to the results, the e-van was ranked first, followed by the e-bike, and the droid was ranked last. To test the consistency of the results obtained from IF-MAIRCA, a comparative analysis is conducted. An extended TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), Grey Relational Analysis, and WASPAS (Weighted Aggregated Sum Product Assessment) methods are employed in an intuitionistic fuzzy environment for this purpose. Sensitivity analysis is also carried out to assess the robustness of the results against variations in the criteria weights. Analyses have shown that the performance rankings of alternatives obtained using different MCDM methods and varying criteria weights are generally consistent.
{"title":"Evaluating sustainable last-mile delivery modes using IF-MAIRCA: The perspective of local authorities","authors":"Fulya Zaralı , Şaban Fatih Yılmaz , Neslihan Demirel , Akram Elomiya , Stefan Jovčić","doi":"10.1016/j.seps.2025.102393","DOIUrl":"10.1016/j.seps.2025.102393","url":null,"abstract":"<div><div>Significant changes have been observed in the shopping habits of urban populations, particularly following the onset of the COVID-19 pandemic. Shopping by physically going to the store has begun to be replaced by e-commerce shopping, offering advantages such as time savings, a wide variety of options, and opportunities for price comparison. Although online shopping enables modern urbanites to meet their needs comfortably, it increases the volume of commercial traffic in the city, resulting in emissions, parking problems, and air and noise pollution. For last-mile delivery (LMD)—one of the main contributors to commercial traffic in urban centers and defined as delivering orders to end customers—various alternative modes have been introduced in many countries and cities. These alternatives aim to replace conventional home delivery to reduce costs, lower energy consumption and emissions, eliminate failed deliveries, and address challenges such as low vehicle load rates and traffic congestion. Achieving these gains is closely related to the attitude of local authorities and the incentives and infrastructure provided by them. In this study, conventional home delivery and five alternative LMD modes (e-van, e-bike, drone, AGV, droid) are evaluated with a Multi-Criteria Decision-Making (MCDM) approach over a wide set of criteria from the perspective of local authorities. The IF-MAIRCA (Intuitionistic Fuzzy Multi-Attributive Ideal-Real Comparative Analysis) method is used to take into account the uncertainty in LMD processes and the intuition of decision-makers in the problem. The proposed framework is illustrated on a real-life problem in Kayseri, Türkiye. According to the results, the e-van was ranked first, followed by the e-bike, and the droid was ranked last. To test the consistency of the results obtained from IF-MAIRCA, a comparative analysis is conducted. An extended TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), Grey Relational Analysis, and WASPAS (Weighted Aggregated Sum Product Assessment) methods are employed in an intuitionistic fuzzy environment for this purpose. Sensitivity analysis is also carried out to assess the robustness of the results against variations in the criteria weights. Analyses have shown that the performance rankings of alternatives obtained using different MCDM methods and varying criteria weights are generally consistent.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102393"},"PeriodicalIF":5.4,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683316","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}
Pub Date : 2025-11-24DOI: 10.1016/j.seps.2025.102386
Grammatoula Papaioannou, Victor V. Podinovski
{"title":"Foreword to the Special Issue “Data envelopment analysis: Novel models and methodologies for efficiency and performance assessment of public organizations”","authors":"Grammatoula Papaioannou, Victor V. Podinovski","doi":"10.1016/j.seps.2025.102386","DOIUrl":"10.1016/j.seps.2025.102386","url":null,"abstract":"","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102386"},"PeriodicalIF":5.4,"publicationDate":"2025-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145736689","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}
Pub Date : 2025-11-22DOI: 10.1016/j.seps.2025.102388
Corrado Andini , Pedro Telhado Pereira
One of the most important fields of government intervention in the economy is the field of education. In most countries, the government directly manages the provision of education up the secondary level and strongly finances higher-education activities, a policy that is seen as being useful to stimulate growth. Thus, a crucial issue from a socio-economic planning perspective is how to allocate the budget resources efficiently. A key argument in favour of government expenditure is that more education in a society today leads to higher income and tax receipts tomorrow. It follows that the initial public investment is somehow recovered at a later point in time. This argument, however, is typically based on the empirical evidence regarding the average wage returns for individuals who behave like in a standard human-capital model, i.e. individuals who stop schooling and start working. An understudied issue is whether it holds for working students that nowadays represent a significant share of the student population. This paper fills this gap in the literature by providing an economic rationale for government support to working students (e.g. special rights for these students while in higher education). It does so by performing a novel investigation of the return-risk link in education. The way in which it accounts for uncertainty due to pure individual luckiness is unique in the literature.
{"title":"On education as a risky asset: Should the government help the working students?","authors":"Corrado Andini , Pedro Telhado Pereira","doi":"10.1016/j.seps.2025.102388","DOIUrl":"10.1016/j.seps.2025.102388","url":null,"abstract":"<div><div>One of the most important fields of government intervention in the economy is the field of education. In most countries, the government directly manages the provision of education up the secondary level and strongly finances higher-education activities, a policy that is seen as being useful to stimulate growth. Thus, a crucial issue from a socio-economic planning perspective is how to allocate the budget resources efficiently. A key argument in favour of government expenditure is that more education in a society today leads to higher income and tax receipts tomorrow. It follows that the initial public investment is somehow recovered at a later point in time. This argument, however, is typically based on the empirical evidence regarding the average wage returns for individuals who behave like in a standard human-capital model, i.e. individuals who stop schooling and start working. An understudied issue is whether it holds for working students that nowadays represent a significant share of the student population. This paper fills this gap in the literature by providing an economic rationale for government support to working students (e.g. special rights for these students while in higher education). It does so by performing a novel investigation of the return-risk link in education. The way in which it accounts for uncertainty due to pure individual luckiness is unique in the literature.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102388"},"PeriodicalIF":5.4,"publicationDate":"2025-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683317","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}
Pub Date : 2025-11-22DOI: 10.1016/j.seps.2025.102387
Bastian Krieger , Stefania Scrofani , Linus Strecke
This paper explores a novel web-based indicator to examine how firms' disclosure of university ties on their websites shapes their innovation performance. First, using data from the German Community Innovation Survey 2023 and the Tenders Electronic Daily database, combined with firms' disclosure of university ties on their website provided by ISTARI.AI, we investigate the indicator's properties by comparing the most frequently disclosed types of university ties: innovation collaborations, university customers, and employee education, with firms' survey responses and their procurement contracts. Second, we analyze how website disclosure of university ties relates to firms' revenues from new or significantly improved products or services, applying Ordinary Least Squares, a Control Function, and a Lewbel Instrumental Variable approach. In sum, the website disclosure of ties with universities is significantly associated with their related survey items and procurement contracts. Moreover, website disclosures show no consistent association with revenues from innovations new-to-the-firm. A consistent statistically significant relationship emerges only for small firms, where website disclosures are associated with higher revenues from market novelties. These findings suggest that our web-based indicator captures ties between firms and universities and that disclosing these ties on firms' websites may influence the market success of their novel products.
{"title":"Firms’ disclosure of university ties on their website: An explorative analysis of its role for innovation performance","authors":"Bastian Krieger , Stefania Scrofani , Linus Strecke","doi":"10.1016/j.seps.2025.102387","DOIUrl":"10.1016/j.seps.2025.102387","url":null,"abstract":"<div><div>This paper explores a novel web-based indicator to examine how firms' disclosure of university ties on their websites shapes their innovation performance. First, using data from the German Community Innovation Survey 2023 and the Tenders Electronic Daily database, combined with firms' disclosure of university ties on their website provided by ISTARI.AI, we investigate the indicator's properties by comparing the most frequently disclosed types of university ties: innovation collaborations, university customers, and employee education, with firms' survey responses and their procurement contracts. Second, we analyze how website disclosure of university ties relates to firms' revenues from new or significantly improved products or services, applying Ordinary Least Squares, a Control Function, and a Lewbel Instrumental Variable approach. In sum, the website disclosure of ties with universities is significantly associated with their related survey items and procurement contracts. Moreover, website disclosures show no consistent association with revenues from innovations new-to-the-firm. A consistent statistically significant relationship emerges only for small firms, where website disclosures are associated with higher revenues from market novelties. These findings suggest that our web-based indicator captures ties between firms and universities and that disclosing these ties on firms' websites may influence the market success of their novel products.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"104 ","pages":"Article 102387"},"PeriodicalIF":5.4,"publicationDate":"2025-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145737727","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}
Pub Date : 2025-11-20DOI: 10.1016/j.seps.2025.102391
Jingwen Li , Xiang Zhang , Fengxin Dai , Liang Tang , Sitong Liu
Emergency resource location decision is strategic due to its high cost and long-lasting implications. There exist multiple potential uncertainties in disaster events that could lead to the current optimal location decision becoming suboptimal in the future, so it is crucial to consider possible emergency resource allocation as recourse decisions. This paper addresses the emergency resource location and allocation issue under uncertain demand, uncertain transportation cost, and disruption risk and proposes a two-stage robust framework. Especially, we categorize emergency resources into personnel and materials and consider their coupling relationship. The two-stage robust framework is reformulated utilizing duality, Karush-Kuhn-Tucker condition, and linearization methods. In addition, we develop an improved column-and-constraint generation algorithm to solve the proposed models. The experiments illustrate that the developed two-stage framework surpasses the established single-stage robust framework, and the presented improved column-and-constraint generation algorithm exhibits superior performance in comparison to the benders-dual cutting plane algorithm. Furthermore, the results reveal that increased fixed costs of opening supply points and uncertainty levels lead to higher total costs and computational time for the proposed seven models considering combinations of different uncertainties, with disruption risk significantly impacting model performance. To enhance resilience, it is recommended that emergency logistics decision-makers prioritize investments in transportation infrastructure and storage capacities at key supply points while adjusting uncertain budget parameters and disturbance ratios to optimize location and resource allocation, ensuring timely delivery of essential resources to disaster-affected areas.
{"title":"Robust optimization of emergency resource location and coupling allocation considering multiple uncertainties","authors":"Jingwen Li , Xiang Zhang , Fengxin Dai , Liang Tang , Sitong Liu","doi":"10.1016/j.seps.2025.102391","DOIUrl":"10.1016/j.seps.2025.102391","url":null,"abstract":"<div><div>Emergency resource location decision is strategic due to its high cost and long-lasting implications. There exist multiple potential uncertainties in disaster events that could lead to the current optimal location decision becoming suboptimal in the future, so it is crucial to consider possible emergency resource allocation as recourse decisions. This paper addresses the emergency resource location and allocation issue under uncertain demand, uncertain transportation cost, and disruption risk and proposes a two-stage robust framework. Especially, we categorize emergency resources into personnel and materials and consider their coupling relationship. The two-stage robust framework is reformulated utilizing duality, Karush-Kuhn-Tucker condition, and linearization methods. In addition, we develop an improved column-and-constraint generation algorithm to solve the proposed models. The experiments illustrate that the developed two-stage framework surpasses the established single-stage robust framework, and the presented improved column-and-constraint generation algorithm exhibits superior performance in comparison to the benders-dual cutting plane algorithm. Furthermore, the results reveal that increased fixed costs of opening supply points and uncertainty levels lead to higher total costs and computational time for the proposed seven models considering combinations of different uncertainties, with disruption risk significantly impacting model performance. To enhance resilience, it is recommended that emergency logistics decision-makers prioritize investments in transportation infrastructure and storage capacities at key supply points while adjusting uncertain budget parameters and disturbance ratios to optimize location and resource allocation, ensuring timely delivery of essential resources to disaster-affected areas.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102391"},"PeriodicalIF":5.4,"publicationDate":"2025-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614546","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}
Pub Date : 2025-11-20DOI: 10.1016/j.seps.2025.102390
Maria João Durães , Flávia Barbosa , Giovanna D’Inverno , Ana S. Camanho
This paper focuses on the comprehensive assessment of regional performance in attaining the 2030 Strategic Framework for Education and Training (ET2030) established by the European Union. To this end, we propose a composite indicator framework based on robust Benefit-of-the-doubt models empirically validated through an extensive analysis of data spanning 32 countries and 101 NUTS-I level regions for 2019. We integrate contextual variables into a robust conditional model to ensure an equitable evaluation among regions grappling with distinct circumstances. Specifically, the unemployment rate and the percentage of the population holding national citizenship are considered. Moreover, the research identifies best practices from high-performing regions that can serve as benchmarks for underperforming areas. Analyzing regional-level data is crucial for understanding disparities between European regions and within countries.
{"title":"Are European regions on the right track to achieve the 2030 strategic education and training targets? A comprehensive performance assessment","authors":"Maria João Durães , Flávia Barbosa , Giovanna D’Inverno , Ana S. Camanho","doi":"10.1016/j.seps.2025.102390","DOIUrl":"10.1016/j.seps.2025.102390","url":null,"abstract":"<div><div>This paper focuses on the comprehensive assessment of regional performance in attaining the 2030 Strategic Framework for Education and Training (ET2030) established by the European Union. To this end, we propose a composite indicator framework based on robust Benefit-of-the-doubt models empirically validated through an extensive analysis of data spanning 32 countries and 101 NUTS-I level regions for 2019. We integrate contextual variables into a robust conditional model to ensure an equitable evaluation among regions grappling with distinct circumstances. Specifically, the unemployment rate and the percentage of the population holding national citizenship are considered. Moreover, the research identifies best practices from high-performing regions that can serve as benchmarks for underperforming areas. Analyzing regional-level data is crucial for understanding disparities between European regions and within countries.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102390"},"PeriodicalIF":5.4,"publicationDate":"2025-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145614545","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}
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