{"title":"Effective strategies for the prediction of aircraft passenger seat (dis-)comfort based on Time Series Classification","authors":"Amalia Vanacore, Armando Ciardiello","doi":"10.1016/j.seps.2025.102240","DOIUrl":"10.1016/j.seps.2025.102240","url":null,"abstract":"<div><div>Aircraft seat is one of the factors which mostly impact on passenger's flight experience and her/his willingness to choose the same airline in future occasions. The focus of this paper is on the prediction of passenger seat (dis-)comfort via objective methods based on the analysis of pressure distribution at seat interface. The aim is identifying the best strategy for predicting seat (dis-)comfort via the combination of well-known pressure indexes and Time Series Classification (TSC) algorithms applied in a univariate as well as a multivariate setting. To leverage the full potential of TSC algorithms, a comparison across different Data Augmentation (DA) techniques has been conducted. The comparison of seat (dis-)comfort prediction strategies provides useful insights on the informativeness of pressure features to accurately predict seat (dis-)comfort. Adopting a multivariate setting and expanding dataset size artificially have not enhanced predictive performance of TSC algorithms. The only exception results ResNet algorithm which in multivariate TSC benefits from DA, showing satisfactory predictive performance.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102240"},"PeriodicalIF":6.2,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144069205","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":"Research on the collaborative mechanism of a data trading market based on a four-party evolutionary game in the context of digital intelligence","authors":"Yue Li , Guofu Li , Anfeng Xu , Fengmin Yao","doi":"10.1016/j.seps.2025.102238","DOIUrl":"10.1016/j.seps.2025.102238","url":null,"abstract":"<div><div>This paper aims to investigate how the strategic choices of regulatory agencies,transformation enterprises, data suppliers, and data trading platforms influence the vitality of the data trading market in the digital intelligence era, addressing existing challenges such as insufficient compliance and supply-demand mismatches. By integrating evolutionary game theory with system dynamics, this study constructs a four-party evolutionary game model for regulatory agencies, enterprises, data suppliers and trading platforms, and a simulation analysis was performed on the evolution path of the market equilibrium state caused by changes in key factors. The results indicate that: (1) a significant positive feedback mechanism exists between stringent regulation and active compliance by data suppliers, effectively alleviating compliance inadequacies; likewise, enterprise digital transformation and platform intelligent services also demonstrate significant positive feedback, contributing to resolving supply-demand mismatches. (2) Measures including enhanced regulatory benefits, reduced regulatory costs, increased benefits and reduced costs of enterprise digital transformation, and lowered platform intelligent upgrading costs collectively drive the market toward an ideal equilibrium (characterized by stringent regulation, active compliance, digital transformation, and intelligent services). Conversely, unfavorable conditions lead to a non-ideal equilibrium state, characterized by decreased compliance, reduced market participation, and lower efficiency.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102238"},"PeriodicalIF":6.2,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144099517","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":"An efficient algorithm for multi-modal skyport location problem with choice-based demand","authors":"Gwang Kim , Yoonjea Jeong , Youngchul Shin","doi":"10.1016/j.seps.2025.102227","DOIUrl":"10.1016/j.seps.2025.102227","url":null,"abstract":"<div><div>This study presents the operation of urban air mobility (UAM), an innovative transportation technology aimed at alleviating traffic congestion in cities. A key consideration for the successful introduction and efficient operation of the transportation is to decide on locations of skyports, which are stations for vertical take-off and landing of air mobility. In this study, we cover a skyport location problem incorporating choice probabilities of transportation modes for each user by applying a binary logit model. The choice probabilities are predicted by considering factors such as fare, travel time, and social acceptance. We propose two mathematical formulations associated with the skyport location problem; one is to maximize the proportion of users who choose the UAM service and the other is to minimize the total sum of the travel time. The two models are NP-hard problems, necessitating an effective and efficient solution methodology for the problem. This study presents a methodology based on a cross-entropy algorithm, which is known for efficiently solving combinatorial optimization problems. We also validate the good performances of the solution methodology through numerical experiments.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102227"},"PeriodicalIF":6.2,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143918254","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":"Asymmetric impact of human development index on terrorism in Pakistan: New findings from QARDL","authors":"Bushra Zulfiqar , Livia Madureira , Shujaat Abbas , Farrukh Shahzad , Zeeshan Fareed","doi":"10.1016/j.seps.2025.102226","DOIUrl":"10.1016/j.seps.2025.102226","url":null,"abstract":"<div><div>Pakistan has consistently ranked among the top ten nations most affected by terrorism over the past decade, while also being recognized as having a relatively low level of human development globally. In an effort to identify measures to lessen the threat of terrorism, this study simulates the asymmetric short- and long-term effects of the human development index, inflation, economic growth, and unemployment on terrorism. This is done by employing quarterly data from 1990 Q1 to 2020 Q4 in a novel quantile auto-regressive distributed lag (QARDL) model. Both the estimated result of the QARDL model and the corresponding Wald test result reveal the existence of long-term and short-term asymmetric relationships between human capital development and unemployment in incidents of terrorism, unlike the inflation rate and the gross domestic product, which lead to symmetric relationships. Moreover, the estimated long-term results of symmetric and asymmetric ARDL show that lower human capital development, inflation rate, sluggish economic growth, and soaring unemployment are major causes of terrorism in Pakistan. These new findings will allow government regulators and policymakers to control inflation, improve employment opportunities, and enhance the human development index so as to mitigate terrorism.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102226"},"PeriodicalIF":6.2,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143929006","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}
Zilong Huang , Shinan Zhao , Jun Wu , Sharafat Ali
{"title":"A novel third-party mediation model based on minimum weight manipulation for addressing Sino-Kazakh transboundary water resource disputes","authors":"Zilong Huang , Shinan Zhao , Jun Wu , Sharafat Ali","doi":"10.1016/j.seps.2025.102229","DOIUrl":"10.1016/j.seps.2025.102229","url":null,"abstract":"<div><div>Conflicts often involve multiple stakeholders, making it challenging to design mediation schemes that effectively balance diverse interests. A novel third-party mediation model based on the Graph Model for Conflict Resolution (GMCR) is proposed in this paper to assist third parties in identifying the mediation scheme with the minimum cost. Mediation costs are quantified by analyzing the concessions made by each party during the mediation process, as reflected by changes in option weights. Additionally, a mixed-integer programming model is developed, utilizing the four fundamental stability concepts as primary constraints. To solve the model efficiently, the dung beetle optimization (DBO) algorithm is used for its strong global search capability, robustness, and resistance to premature convergence. Finally, the model is applied to the Sino-Kazakh transboundary water dispute, examining mediation schemes under varying weight manipulation thresholds and validating the model's efficacy.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102229"},"PeriodicalIF":6.2,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143883076","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}
Christina Iliopoulou , Michail A. Makridis, Anastasios Kouvelas
{"title":"Improving transit network resilience against disruptions through path redundancy","authors":"Christina Iliopoulou , Michail A. Makridis, Anastasios Kouvelas","doi":"10.1016/j.seps.2025.102228","DOIUrl":"10.1016/j.seps.2025.102228","url":null,"abstract":"<div><div>Public transport systems are vulnerable to natural disasters, accidents, or deliberate attacks, that can cause infrastructure damage and service disruptions. Disruption impacts depend on the network structure and the availability of alternative travel paths, highlighting the importance of path redundancy in public transport network planning. Addressing the associated research gap, we propose a practice-oriented path redundancy indicator and integrate it within a novel hybrid metaheuristic solution framework to design more resilient route structures from scratch. The approach combines Reinforcement Learning, Local Search operators and Particle Swarm Optimization and is validated using an established benchmark from the literature and a real-world network from Uruguay, generating more resilient networks that serve up to 25 % and 40 % more passengers in random and targeted attacks, respectively. Results show that resilience against link failures can be enhanced through path redundancy without adversely impacting average travel times.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102228"},"PeriodicalIF":6.2,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143870595","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}
A. Sarra , D. D'Ingiullo , A. Evangelista , E. Nissi , D. Quaglione , T. Di Battista
{"title":"A network analysis of skill-specific internal migration flows in Italy","authors":"A. Sarra , D. D'Ingiullo , A. Evangelista , E. Nissi , D. Quaglione , T. Di Battista","doi":"10.1016/j.seps.2025.102225","DOIUrl":"10.1016/j.seps.2025.102225","url":null,"abstract":"<div><div>Internal migration plays a crucial role in shaping regional economies and governance. To gain insights into this phenomenon, we propose conducting a network analysis of migration flow data among Italian provinces from 2002 to 2023, with a focus on eliminating irrelevant connections. This approach combines network filtering and clustering techniques, which refine the network structure to highlight meaningful connections and make mobility trends easier to interpret. Unlike traditional methods, which often struggle with complex or fragmented migration data, our approach enables us to identify both persistent migration hubs and emerging shifts in regional mobility. Our findings confirm the central role of northern provinces such as Milan, Turin, and Bologna, but also reveal a strengthening of connections between Southern areas like Naples and Bari, suggesting a growing regional appeal. While South-North migration remains dominant, high-skilled individuals are increasingly choosing Rome and other central provinces, indicating a diversification in migration patterns. Similar trends emerge for low-skilled workers, although age-related differences influence distinct mobility routes. These results offer actionable insights for policymakers. By investing in research, innovation, and entrepreneurial development in the South, improving university quality and academic infrastructure, strengthening connections between education and the local labour market, and enhancing infrastructure for remote work, South-North migrations and inequalities could be mitigated. Through a clear and accessible analysis, this study provides a practical tool for designing policies that promote more balanced regional development.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102225"},"PeriodicalIF":6.2,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143877543","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":"Does Confucian culture inhibit corporate greenwashing behavior? Evidence from China","authors":"Xintong Wu","doi":"10.1016/j.seps.2025.102218","DOIUrl":"10.1016/j.seps.2025.102218","url":null,"abstract":"<div><div>With the accelerating global pursuit of sustainable development gaining unprecedented traction, the practice of corporate greenwashing has become a significant restraining factor on developing the green economy. This article selects data from A-share listed companies to study how Confucian culture affects corporate greenwashing behaviors and the mechanisms. The findings of this study indicate that Confucian culture significantly inhibits corporate greenwashing behaviors. This cultural influence appears to function, as it increases media scrutiny and encourages ESG activism among institutional investors. Government environmental regulations amplify this effect, while a company's innovation efficiency appears to partially counteract it. We further observe that Confucian culture's restraining influence on greenwashing is more significant in larger, state-owned enterprises located in China's eastern and central regions. However, increased media attention is correlated with more greenwashing behaviors among smaller firms. These findings offer valuable insights, as they support the promotion of Confucian-based management practices, and they also back the transition of corporations toward genuinely green transformations.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102218"},"PeriodicalIF":6.2,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855501","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}
Menglan Liu , Jian-gang Shi , Jianfu Shen , Eddie Chi Man Hui
{"title":"Are migrants willing to pay more for better housing? The amenity effect in China's urban housing markets","authors":"Menglan Liu , Jian-gang Shi , Jianfu Shen , Eddie Chi Man Hui","doi":"10.1016/j.seps.2025.102224","DOIUrl":"10.1016/j.seps.2025.102224","url":null,"abstract":"<div><div>This study investigates the influence of urban amenities on migrant housing choices. It firstly constructs a novel urban amenity level (UAL) index spanning multiple amenity categories across 286 Chinese cities. Using data from the China Migrants Dynamic Survey in 2011–2018 merged with municipal statistics, empirical results reveal that a destination city's UAL exerts a significantly positive effect on migrants' housing payments. A one standard deviation increase in UAL contributes to a 0.413 standard deviation rise in housing costs, indicating migrants' willingness to pay for urban amenities. Further analysis uncovers three fundamental mechanisms: the expectation effect, the accessibility effect, and the social integration effect. Migrants' stronger settlement intention and social integration amplify the amenity impact on their housing payments, whereas a high entry threshold to the local housing market increases migrants' housing affordability stress. Heterogeneity analysis suggests that the amenity effect varies by amenity type, <em>hukou</em> status, region, and human capital. The findings offer policy implications, including enhancing amenities to upgrade dwelling conditions, mitigating housing access barriers, and focusing more on vulnerable migrant workers and regional disparity. This study provides a new perspective on migrants' housing choices and the effects of gaps in urban amenity intensity on housing behavior.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102224"},"PeriodicalIF":6.2,"publicationDate":"2025-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143902068","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":"Assessing trade Efficiency: Insights from trade priority, environmental priority, and balanced strategies","authors":"Yu Zhu , Dawei Wang","doi":"10.1016/j.seps.2025.102223","DOIUrl":"10.1016/j.seps.2025.102223","url":null,"abstract":"<div><div>This study employs Data Envelopment Analysis (DEA) to assess international trade efficiency, incorporating carbon dioxide emissions as an undesirable output and addressing biases in previous assessments that overlooked emissions embodied in trade. The model introduces three distinct strategic objectives: a trade priority, an environmental priority, and a balanced approach between trade and environmental concerns. The proposed framework is then applied to a sample of 42 economies.</div><div>Trade efficiency is a crucial economic measure, as it reflects an economy's capacity to maximize productive output while minimizing environmental and resource costs, thereby fostering sustainable economic growth and enhancing global competitiveness. The findings demonstrate that while the Trade Priority Strategy (TPS) yields the lowest overall average efficiency under both constant returns to scale (CRS) and variable returns to scale (VRS) assumptions, the optimal strategy for maximizing efficiency varies significantly across individual economies. Although significant efficiency differences exist across the 42 economies, within each economy, the differences in efficiency values and rankings across the three strategies are relatively minor. A comparison between Organisation for Economic Co-operation and Development (OECD) and non-OECD economies reveals that the OECD group demonstrates higher efficiency under all strategies. These results offer valuable insights for policymakers seeking to align trade and environmental policies in pursuit of sustainable development.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"100 ","pages":"Article 102223"},"PeriodicalIF":6.2,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855502","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}