Socio-economic Planning Sciences最新文献

{"title":"Designing an agricultural waste collection and transport network based on robust optimization","authors":"Yanju Chen ,&nbsp;Yan Liu ,&nbsp;Yuhan Wang","doi":"10.1016/j.seps.2025.102375","DOIUrl":"10.1016/j.seps.2025.102375","url":null,"abstract":"<div><div>Agricultural waste, a widely available resource, has long been plagued by issues of dispersion and inefficient collection. Its improper handling poses serious threats to human health, ecological environment, and economic development. Waste collection and recycling are among the effective measures currently being implemented in many regions to promote sustainable and green development. Waste management is a complex planning issue in an uncertain environment. Designing a more comprehensive and practical agricultural waste collection and transport (AWCT) network is crucial for effective agricultural waste management. This location–allocation–routing problem (LARP) aims to optimize the locations of collection centers (CCs) and processing centers (PCs), effectively allocate waste collected demands, and determine the optimal vehicle routes. This paper focuses on designing a robust AWCT network which can deal with the challenge of uncertainty due to incomplete distribution information. Firstly, two ambiguity sets are proposed to characterize the amount of agricultural waste collected and the operating cost of CC under partial distribution information. Then a distributionally robust optimization (DRO) model is proposed and transformed into a computable mixed-integer linear programming (MILP) form equivalently. Furthermore, a Benders decomposition (BD) algorithm is developed for solving the MILP model. Finally, this method is applied to a case in Shenyang, Liaoning Province, China, to demonstrate the effectiveness of the proposed model and algorithm. The main experimental results show that: (1) The network designed by the proposed model can withstand the influence of uncertainty in the amount of agricultural waste collected and the operating cost of CC at a relatively small robustness price; (2) Managers can adjust the parameters according to their own preferences to achieve a balance between total cost and robustness. The proposed AWCT network design model has certain application prospects. It can provide practical decision-making support for formulating targeted policies and strategies, so as to promote sustainable development and resource utilization, and offer a comprehensive framework for agricultural waste management practices.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102375"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145569098","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":"Delivering fresh produce during a lockdown: The post-pandemic pickup and distribution problem with time constraints","authors":"Tianyang Cai,&nbsp;Yusen Ye","doi":"10.1016/j.seps.2025.102383","DOIUrl":"10.1016/j.seps.2025.102383","url":null,"abstract":"<div><div>Motivated by the logistical challenges of distributing fresh produce during prolonged, government-enforced lockdowns, we investigate a novel problem: the Post-Pandemic Pickup and Distribution Problem with Time Constraints (PP-PDPTC). In the post-pandemic phase, supply and demand stabilize, yet food distribution remains constrained by rigid time windows and institutional rules. This setting requires a careful balance of effectiveness (demand fulfilment), equity (fair distribution), and efficiency (timely delivery). We propose two models for equity-aware food allocation. The first assumes that decision-makers possess prior knowledge of acceptable inequality levels (e.g., a maximum Gini coefficient) and treats equity as a constraint; the second embeds equity directly in the objective function, enabling dynamic trade-offs. We further devise a Transfer and Deprivation strategy that reallocates surplus food from overserved areas or trims excess allocations to improve equity. Coupled with an Adaptive Large Neighborhood Search algorithm for routing, this yields a two-stage heuristic framework. We test the models on a real-world case from Shanghai's Omicron lockdown in March 2022. Results reveal key trade-offs: pursuing equity can raise food waste under oversupply, increasing fleet size chiefly boosts effectiveness, whereas expanding vehicle capacity benefits equity. The heuristic consistently surpasses commercial solvers in solution quality and runtime, offering a practical tool for post-pandemic fresh-produce distribution under institutional constraints.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102383"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145569094","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":"Preference using Root Value based on Aggregated Normalizations (PROVAN): A data-driven method for socio-economic and innovation assessment","authors":"Sanjib Biswas ,&nbsp;Nibir Khawash ,&nbsp;Prasenjit Chatterjee ,&nbsp;Edmundas Kazimieras Zavadskas","doi":"10.1016/j.seps.2025.102343","DOIUrl":"10.1016/j.seps.2025.102343","url":null,"abstract":"<div><div>Socio-economic development (SED) remains a critical priority for policymakers aiming to foster inclusive growth and drive national progress. This study presents a comprehensive multi-criteria assessment of regional SED across 16 Indian states, focusing on the influence of innovation (INV) performance and foreign direct investment (FDI) on achieving sustainable development goals (SDGs). A new multi-criteria decision-making (MCDM) method, called Preference using Root Value based on Aggregated Normalisations (PROVAN), is introduced in this paper to enhance decision accuracy by integrating five different normalization techniques. Criteria weights are determined using an extended version of Weights by ENvelope and SLOpe (WENSLO) method, which incorporates multiple normalization strategies to improve robustness. The evaluation considers nine SED and seven INV criteria derived from secondary data sources. The causal relationships are statistically analyzed using Somer's δ test, and the model's reliability is confirmed through comparative and sensitivity analyses. Results reveal that Maharashtra emerges as the top-performing state in both SED (1.5572) and INV (1.5473), followed by Tamil Nadu and Karnataka, indicating strong performance across socio-economic and innovation indicators. The findings highlight significant inter-state disparities and confirm that states with stronger innovation capabilities tend to achieve better socio-economic outcomes. FDI is shown to positively influence sustainable economic development, reinforcing the strategic importance of attracting capital to advance SDGs. The proposed PROVAN-WENSLO framework offers a robust and adaptable tool for regional development planning and policy formulation.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102343"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145323618","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":"Temporal analysis of the clustering and hypothesized social contagion of mass killing events in the United States","authors":"Zachary T. Hornberger ,&nbsp;Douglas M. King ,&nbsp;Sheldon H. Jacobson","doi":"10.1016/j.seps.2025.102349","DOIUrl":"10.1016/j.seps.2025.102349","url":null,"abstract":"<div><div>Mass killings (e.g., 2016 Pulse nightclub shooting, 2017 Las Vegas shooting) are tragedies that devastate the victims’ families and harm the local communities and the nation at large. Amid an increase in mass-killing research, the idea that these events may be <em>contagious</em> has emerged among scholars and been publicized in popular media. This paper implements a three-phase methodology to evaluate the social contagion hypothesis for US mass killings that (a) detects prominent contagion effects, (b) identifies mass killing clusters, and (c) detects subtle contagion effects. Evidence of a prominent contagion effect was not found, utilizing a periodically-observed time-homogeneous Poisson process framework. It is shown that the occurrence of family mass killings and the occurrence of felony mass killings were homogeneous and temporally random between 2006 and 2023, whereas the rate of public mass killings during this timeframe approximately doubled starting in late 2015. The occurrence of public mass killings was homogeneous and temporally random when separated at this arrival rate changepoint. Event clusters were identified and compared to Poisson bursts with respect to three attributes: number of clusters, duration, and surprise. The relationship between event notoriety and the time until the subsequent event was also evaluated. Analysis of the relationship between event notoriety and the time until the next mass killing revealed some irregularities that, while not consistent with a subtle contagion effect, invite future qualitative research investigating specific clusters for evidence of behavioral transmission. The ten highest-density clusters for each mass killing type are reported to facilitate future research.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102349"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145517449","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":"From investment to impact: Exploring socio-economic prospect of hydrogen investment in Tees Valley, UK","authors":"Vahid Ghorbani Pashakolaie ,&nbsp;Bjarnhedinn Gudlaugsson ,&nbsp;Tariq G. Ahmed","doi":"10.1016/j.seps.2025.102371","DOIUrl":"10.1016/j.seps.2025.102371","url":null,"abstract":"<div><div>Financial viability is fundamental for investment success, however, long run sustainable investment relies on delivering tangible socio-economic benefits that foster societal acceptance, enhancing community welfare and well-being. This study developed a quantitative model to evaluate the socio-economic impact of a proposed 1 GW green and 2 GW blue hydrogen investment in Tees Valley, UK, from 2027 to 2035. We introduced the socio-economic impact (SEI) ratio, defined as the ratio of socio-economic impact to the Levelized Cost of Hydrogen (LCOH), to illustrate the significance of socio-economic impact beyond financial returns.</div><div>Findings indicate that the cumulative environmental and economic impact of green hydrogen amounted to £1.5 ± 0.5 bn, and £1.35 ± 0.27 bn, respectively, with an employment impact of £269 ± 28 mn. In contrast, the proposed blue hydrogen investment is expected to deliver £2.9 ± 0.9 bn environmental impact, £1.84 ± 0.37 bn economic impact, and £212 ± 26 mn employment social impact. The SEI ratio of green hydrogen was found to range between 48 % and 62 %, and 60 %–79 % for blue hydrogen, suggesting overall SEI ratio of approximately 60 % for combined green and blue investment. Sensitivity analysis using Monte Carlo simulation revealed that the results are particularly sensitive to the Gross Value Added (GVA), emission, and employment factors. These findings highlight the importance of integrating socio-economic considerations into hydrogen planning, investment strategies, and decision-making to optimise environmental, societal, and economic outcomes.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102371"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145517511","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":"Probabilistic and statistical modelling for risk evaluation","authors":"Francesca Pierri ,&nbsp;Marialuisa Restaino ,&nbsp;Mariangela Zenga","doi":"10.1016/j.seps.2025.102378","DOIUrl":"10.1016/j.seps.2025.102378","url":null,"abstract":"","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102378"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145733070","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":"Foreword to the Special Issue “Data envelopment analysis: Novel models and methodologies for efficiency and performance assessment of public organizations”","authors":"Grammatoula Papaioannou,&nbsp;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":"2026-02-01","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}

{"title":"A review on multi-criteria decision-making in passenger transportation: Trends, methods, and future directions","authors":"Eren Kamber,&nbsp;Buse Yücel,&nbsp;Mehmet Gümüş","doi":"10.1016/j.seps.2025.102384","DOIUrl":"10.1016/j.seps.2025.102384","url":null,"abstract":"<div><div>This study provides a systematic review of the application of Multi-Criteria Decision-Making (MCDM) methods in passenger transportation. Analyzing 74 studies published between 2009 and 2025, the review classifies research based on transportation modes, methodological approaches, and sustainability dimensions. The findings reveal an increasing preference for fuzzy-based MCDM methods such as Fuzzy-AHP, TOPSIS, VIKOR, and DEMATEL to manage uncertainties in complex decision problems. Although sustainability principles are included in many studies, only a minority treat sustainability as the primary focus. The literature emphasizes service quality evaluation, passenger satisfaction, and system efficiency, with notable gaps in comprehensive sustainability-focused models and underexplored domains like maritime passenger safety. Keyword and research area analyses confirm the interdisciplinary nature of the field, linking transportation with engineering, computer science, environmental sciences, and economics. The study concludes with specific future research directions, including user-friendly hybrid MCDM frameworks, real-time data integration, and expanded focus on social and environmental sustainability. These recommendations aim to guide researchers and practitioners toward more inclusive, practical, and sustainable transportation decision-making models.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102384"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145569097","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":"Leave me be, make me strong! Growing solo to innovate together. Results from machine learning techniques on the innovation performance in resource-constrained manufacturing industries","authors":"Ángel Peiró-Signes ,&nbsp;Carlos Labarcés-Ballestas ,&nbsp;Marival Segarra-Oña ,&nbsp;Óscar Trull-Domínguez","doi":"10.1016/j.seps.2025.102365","DOIUrl":"10.1016/j.seps.2025.102365","url":null,"abstract":"<div><div>Innovation drives economic growth and competitiveness, particularly for small and medium-sized enterprises; however, firms in countries with low innovation capacity face significant barriers, ranging from limited financial resources to inadequate technological infrastructure. This paper examines the drivers of innovation in a resource-constrained and low-innovation ecosystem by using Colombian manufacturing industry data as a reference case, as it is a context characterized by low levels of innovation activity and underdeveloped innovation ecosystems. Using data from the 2020 Survey on Development and Technological Innovation in the Manufacturing Industry, this study employs machine learning techniques to identify the key internal and external factors influencing innovation outcomes, with results indicating that firms allocating proportionally more labor and investment to scientific, technological, and innovation activities are more likely to achieve innovative outcomes. In contrast to high-innovation regions, collaboration has a less significant effect on innovation, suggesting that the lack of ecosystem support may limit knowledge sharing and resource exchange. These findings highlight the need for targeted policies focused on strengthening financial access, promoting knowledge networks, and building collaborative frameworks. The study concludes by outlining policy recommendations aimed at enhancing innovation in low-innovation contexts and suggests paths for further research on the role of ecosystem support in emerging economies.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"103 ","pages":"Article 102365"},"PeriodicalIF":5.4,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145419007","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":"Are European regions on the right track to achieve the 2030 strategic education and training targets? A comprehensive performance assessment","authors":"Maria João Durães ,&nbsp;Flávia Barbosa ,&nbsp;Giovanna D’Inverno ,&nbsp;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":"2026-02-01","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}