Socio-economic Planning Sciences最新文献

{"title":"Evaluating socioeconomic factors for crime against women in developing countries: A data-centric statistical learning approach","authors":"Esther Jose ,&nbsp;Sayanti Mukherjee ,&nbsp;Jose Swaminathan","doi":"10.1016/j.seps.2025.102255","DOIUrl":"10.1016/j.seps.2025.102255","url":null,"abstract":"<div><div>Women are often targeted in crimes of sexual violence, trafficking, and domestic abuse, especially in developing countries. There are two types of risk factors for women being victims of such violence. Personal risk factors include attributes or features of the woman’s self or identity, such as how old she is, how educated she is, and whether she is married. There is a second set of factors that we call “regional” risk factors, which include the attributes or characteristics of a region (defined as a state or union territory) such as how electrified it is, how many colleges it has, or how many roads it has. We offer insights on regional risk factors and how they influence rates of crime against women in that region. We also address the challenge of under-reporting and present insights into factors that could reduce under-reporting. We use a suite of advanced machine learning techniques to identify and evaluate the socio-economic and political risk factors for high rates of both reported and adjusted crime against women in a region. We establish our research framework with a case study conducted in India, using data from different states and union territories from 2004–2020. We consider 23 factors, including the financial condition of the state, the ruling political party, access to electricity, access to education, employment rate, and birth rate. Our results show that high access to education, low gender disparity in education, low poverty, and increased household access to electricity are positively correlated with reduced crime against women. We also observe that under-reporting is more often a problem in poorer regions, regions where higher percentages of women are illiterate than men, and regions where household access to electricity is low. While policymakers cannot easily change personal risk factors, these regional risk factors can be addressed explicitly by government agencies, institutions, or leaders.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102255"},"PeriodicalIF":6.2,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144480515","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 case-driven simulation-optimization model for sustainable medical logistics network","authors":"Fariba Goodarzian ,&nbsp;Peiman Ghasemi","doi":"10.1016/j.seps.2025.102271","DOIUrl":"10.1016/j.seps.2025.102271","url":null,"abstract":"<div><div>The supply chain industry represents one of the largest and most critical sectors worldwide, and it is undergoing substantial transformation with the increasing integration of Electric Vehicles (EVs). In particular, EVs are being adopted within healthcare logistics networks to substantially mitigate carbon emissions and counteract escalating fuel costs, thereby enhancing the alignment of supply chain operations with broader public health and environmental sustainability objectives. This study proposes a novel Sustainable Healthcare Supply Chain Network (SHSCN) model that explicitly incorporates the deployment of EVs for the distribution of medical products and the optimal siting of Charging Stations (CSs) to support their operation. To quantitatively assess the queuing behavior of EVs at these charging facilities, an M/M/c queuing model is employed, providing insights into system performance in terms of vehicle waiting times. Additionally, the Simulation Method (SM) is utilized to estimate optimal fleet sizes and operational parameters. The validity and practical applicability of the proposed mathematical framework are demonstrated through a case study conducted within the medical industry context, employing the augmented ε-constraint method to handle the model's multi-objective nature. Given the NP-hardness of the formulated optimization problems, two novel hybrid metaheuristic approaches are introduced: Hybrid Simulated Annealing integrated with K-Medoids clustering (HKMSA), and Hybrid Tabu Search combined with K-Medoids clustering (HKMTS). Computational results indicate that both HKMSA and HKMTS exhibit superior performance relative to alternative methods, particularly in terms of solution quality and computational efficiency across problem instances of varying scales. Sensitivity analyses further reveal that a 30 % reduction in demand results in increases in all three objective function values, reaching 458,369, 894,100, and 761,790 units, respectively. Conversely, a 30 % improvement in service rate leads to a reduction in the first objective function's cost from 450,984 to 407,369 units.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102271"},"PeriodicalIF":6.2,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144490391","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 scenario robust Bi-objective model for integrating disaster mitigation and preparedness","authors":"Jomon A. Paul ,&nbsp;Xinfang Wang","doi":"10.1016/j.seps.2025.102260","DOIUrl":"10.1016/j.seps.2025.102260","url":null,"abstract":"<div><div>Policymakers often overlook the synergies between disaster management's mitigation and preparedness policies. We tap into this potential aided by a scenario robust bi-objective model we develop in this study. These competing objectives include mitigation costs associated with the readiness of a disaster-prone region and preparedness social costs consisting of logistics, deprivation, and fatality costs. We devote our attention to analyzing the tradeoffs with the minimization of these differing costs. Noting that disaster management settings typically present data accuracy challenges, we model uncertain parameters within each scenario using easily estimable deterministic uncertainty sets. We propose a novel framework that utilizes secondary data to estimate willingness to pay for essential goods such as food and water. Using this framework, we develop deprivation functions to account for human suffering due to shortages and delayed arrival of food and water supplies. Policymakers can gain valuable guidance regarding inter-system benefits using our models and insights from their practical deployment. Specifically, benefits accrued from a vertical collaboration between agencies handling mitigation and preparedness policymaking currently operating in silos, engaging in suboptimal policies. We illustrate our model application using an extensive case study featuring a hurricane-prone region. As an integral component of our analytical models, we deploy empirical models to estimate key parameters such as the readiness of the region. Our results provide fresh policy insights into collaborative strategies policymakers can adopt for effective disaster management through a cost-benefit analysis. Particularly, it can aid ethics boards of disaster agencies that provide guidance and oversight on ethical issues related to disaster response and recovery efforts with objective evidence.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102260"},"PeriodicalIF":6.2,"publicationDate":"2025-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144330825","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":"Collaborate or compete? Decentralized resource allocation between local authorities during COVID-19 based on evolutionary game theory","authors":"Xihui Wang ,&nbsp;Anqi Zhu ,&nbsp;Yu Fan ,&nbsp;Liang Liang","doi":"10.1016/j.seps.2025.102269","DOIUrl":"10.1016/j.seps.2025.102269","url":null,"abstract":"<div><div>Facing the threaten of world-wide pandemics such as COVID-19, critical resources including masks, vaccines, and medical equipment play an important role in infection risk mitigation and outbreak containment. However, with limited market resources, as it is hard to satisfy all the demands, a natural question is that how to make the allocation? Given the complicated and varying situation, this paper models the interaction between two local authorities making resource allocation decisions within the background of epidemic following the methodology of evolutionary game theory. The proposed model can be applied to practical resource allocation determinations on examining how critical factors influence allocation outcomes and offering strategic insights on whether local authorities should adopt collaborative or competitive approaches under varying conditions. A case study along with the sensitivity analysis based on the real-world background is further constructed to prove the feasibility and efficiency of this model. The results indicate that while collaboration is generally a better strategy in most situations, competition may emerge when potential benefits outweigh cooperation incentives—particularly depending on pandemic severity and transmission rates. Interestingly, both excessively high and relatively low severity levels, as well as external impacts, can trigger competitive behavior. The novelty of this study lies in providing a strategic tool that helps solve a practical resource allocation problem considering the dynamic characteristic of COVID-19. This paper illustrates managerial insights on reminding the decision-makers that extra efforts may need to promote a demand-driven resource allocation (the one with higher demand gets more resources) in the fast-spread and emergency stage of a pandemic.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102269"},"PeriodicalIF":6.2,"publicationDate":"2025-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144297976","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":"Prioritization of old community renewal projects based on stakeholders' preferences – The case of Beijing, China","authors":"He Ding ,&nbsp;Zheng Yi ,&nbsp;Xu Xiwei ,&nbsp;Xie Yang ,&nbsp;Ding Shouyi","doi":"10.1016/j.seps.2025.102261","DOIUrl":"10.1016/j.seps.2025.102261","url":null,"abstract":"<div><div>Old community renewal is an important part of urban regeneration. Prioritization of old community renewal projects (OCRP) is crucial to every strategy for urban regeneration. Existing research focuses on qualitative analysis rather than multi-stakeholder participation or quantitative analysis between equity and efficiency. Diverse stakeholders involved in such subjective judgment often have conflicts due to unclear benefits sharing, which hinders the progress of urban regeneration.</div><div>This research aims to make the prioritization more acceptable to diverse stakeholders to ensure that the progress cannot be hindered. By decision support system capable of scenarios simulation, we evaluate the suitability of OCRP. The system is based on the Logic Scoring of Preference (LSP) method, which quantifies abstract stakeholders' preferences through two logical concepts: simultaneity and substitutability. In the case of Beijing, we simulate the prioritization under two types of scenarios. We find that stakeholders' preferences lead to different prioritization. And we discuss the influence of trade-off between equity and efficiency on the prioritization. More equitable prioritization when incorporating more residents' preferences, and more efficient when incorporating more investors' preferences. The system may provide a scientific reference to support decisions regarding old community renewal in metropolitan areas.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102261"},"PeriodicalIF":6.2,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144291584","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":"Environmental awareness and pro-environmental behavior impact on renewables investments: A moderating role of environmental concerns","authors":"Luca Esposito ,&nbsp;Raja Nabeel-Ud-Din Jalal","doi":"10.1016/j.seps.2025.102256","DOIUrl":"10.1016/j.seps.2025.102256","url":null,"abstract":"<div><div>This study examines the impact of environmental awareness and pro-environmental behavior on renewable investment intentions and the moderating role of environmental concerns. Using a sample of 350 retail investors, we find that environmental awareness and pro-environmental behavior increase renewable investment intentions. Moreover, environmental concerns moderate the relationship between environmental awareness and renewable investment intentions. However, we find no significant moderating effect of environmental concern in the case of pro-environmental behavior. Overall, our research contributes to the emerging literature on renewable energy investments in contributing circular economy.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102256"},"PeriodicalIF":6.2,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144297975","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":"Representing social exclusion in geographic space: interpretability or informational power?","authors":"Matheus Pereira Libório,&nbsp;Alexandre Magno Alves Diniz,&nbsp;Marcelo de Rezende Pinto,&nbsp;Sandro Laudares,&nbsp;Patrícia Bernardes","doi":"10.1016/j.seps.2025.102262","DOIUrl":"10.1016/j.seps.2025.102262","url":null,"abstract":"<div><div>Social exclusion is a complex, multidimensional phenomenon, and its understanding requires simultaneously considering economic, educational, household, and environmental aspects. In this context, composite indicators facilitate understanding social exclusion by simultaneously considering its multiple aspects through a one-dimensional measure. Composite indicators can be constructed using numerous methods, including Principal Component Analysis, one of the most popular. However, the method has limitations, such as information loss and interpretability. Information loss can be substantial when the multidimensional phenomenon aspects are poorly intercorrelated. In this situation, numerous Principal Components must be considered simultaneously to understand the multidimensional phenomenon, rekindling the interpretability problem that composite indicators pursue to solve. This study develops a novel approach that balances information power and interpretability in composite indicators constructed by Principal Component Analysis. The study reveals that information loss is not influenced solely by low intercorrelation but by information diversity and correlation with a conceptually significant indicator. These findings indicate that disregarding poorly intercorrelated aspects that transfer low information to the composite indicator does not diminish its conceptual scope but ensures greater information power and interpretability. In particular, the developed approach effectively captured the concept of social exclusion with satisfactory information power in the first Principal Component. Principal Component Analysis and Geographically Weighted Principal Component Analysis need three Principal Components to achieve satisfactory information power, compromising the social exclusion interpretability. The study findings point to the relevance of adopting a new practice of constructing composite indicators through Principal Component Analysis in which interpretability and informational power are balanced.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102262"},"PeriodicalIF":6.2,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144242459","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":"Optimizing public transit service in suburban urbanized areas: A case study of Ningbo, China - Evolution from bus rapid transit to urban rail transit","authors":"Erzhuo Zhang ,&nbsp;Feng Lian ,&nbsp;Zhongzhen Yang","doi":"10.1016/j.seps.2025.102258","DOIUrl":"10.1016/j.seps.2025.102258","url":null,"abstract":"<div><div>To optimize public transit (PT) service in suburban urbanized areas according to the dynamic changes in demand during suburban urbanization, and to enhance the input-output efficiency of the PT in post-urbanized areas while promoting suburban urbanization, a new mode of bus rapid transit (BRT) is proposed. The mode emphasizes multiple, high-frequency connections to urban rail transit (URT), based on the principle of long-term optimization. The planning horizon is divided into multiple successive decision sub-periods, and a bi-level model for suburban PT service is developed. The upper model determines the PT service (BRT or the URT) for each segment on the transport corridor during each sub-period with the objective of maximizing social welfare over the entire planning horizon. It also calculates the accessibility of traffic analysis zones (TAZs) and the benefits of the PT within each decision sub-period. The lower model determines the housing locations of the newly added urban population, zonal travel generation and modal splits, as well as passenger flows and travel times for the PT in decision sub-periods. Based on the determined PT service for a sub-period, decision-making shifts to the next sub-period. Through successive multi-period decision, a PT service scheme for post-urbanized areas is derived. A numerical analysis with Beilun District in Ningbo as an example demonstrates that adopting a scheme gradually upgrading from BRT to URT (namely BRT&amp;URT scheme) can achieve social welfare totaling 14.136 billion CNY, a 16.95 % increase compared to constructing URT from the initial stage. This validates that the BRT&amp;URT scheme for post-urbanized suburbs can enhance PT service during suburban urbanization while avoiding the high initial costs and poor input-output ratios of early URT investments.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102258"},"PeriodicalIF":6.2,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144242642","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 food upcycling model by food bank collection-distribution networks","authors":"Javid Ghahremani-Nahr ,&nbsp;Ramez Kian ,&nbsp;Abdolsalam Ghaderi","doi":"10.1016/j.seps.2025.102247","DOIUrl":"10.1016/j.seps.2025.102247","url":null,"abstract":"<div><div>Nowadays, the collection and distribution of food products with high nutritional value and freshness for people in poverty has become a global problem due to financial, drought, or other crises. Food banks (FBs) are important entities that mitigate food waste by reusing surplus food at critical points in the food supply chain. This article investigates an FB network design problem for the collection and distribution of food items. An FB network comprises donors mapped from the food supply chain, FB itself, and beneficiaries mapped from charities. The problem addresses synchronous strategic, tactical, and operational decisions, including the location of FBs, the assignment of donors to main streams, the control of inventory, and the routing of vehicles in collection and distribution levels to optimize the amount of food reused. As the demand and supply of food items from charities and donors are uncertain, a robust fuzzy stochastic model is developed to model the problem with three objectives including cost, nutritional value, and freshness of food. An extensive numerical study compares these algorithms with respect to several criteria. The proposed novel MOGGWA heuristic showed superior performance and was ranked first by applying the TOPSIS multi-criteria decision-making method. The value of stochastic programming and the impact of the model on a real-size case study problem are shown, as well.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102247"},"PeriodicalIF":6.2,"publicationDate":"2025-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144298028","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":"Understanding the dynamics of crowdshipping in last-mile distribution within urban mobility: A comprehensive framework","authors":"Alisson Garcia-Herrera,&nbsp;Adrian Serrano-Hernandez,&nbsp;Javier Faulin","doi":"10.1016/j.seps.2025.102249","DOIUrl":"10.1016/j.seps.2025.102249","url":null,"abstract":"<div><div>Crowdshipping, a collaborative economy model that takes advantage of the crowd for the delivery of goods, promises to address the problems of urban logistics. This article integrates the literature to identify relevant factors that influence the success of crowdshipping, while addressing sustainability objectives. We use the PRISMA method, a widely recognized framework for systematic reviews that, by meeting high-quality standards, guarantees the reliability of the evidence. We systematically reviewed the literature to address three research questions: identifying factors that influence crowdshipping success, evaluating its contribution to sustainability goals, and evaluating the role of Operation Research (OR) in improving crowdshipping efficiency. Specifically, OR techniques offer significant potential for optimizing routing, matching supply and demand, and enhancing decision-making processes. Through this comprehensive and in-depth analysis, we provide information for future research, modeling, practical implementation, and potential policy recommendations.</div></div>","PeriodicalId":22033,"journal":{"name":"Socio-economic Planning Sciences","volume":"101 ","pages":"Article 102249"},"PeriodicalIF":6.2,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144262790","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}