Academic Journal of Management Science and Engineering
type: channel
description: Academic Journal of Management Science and Engineering (AJMSE), a peer-reviewed open access journal published in English-language, provides an international platform for the publication and dissemination of original work that contributes to the understanding of the main and related disciplines of management science and engineering either empirical or theoretical. The journal covers the whole spectrum of Business and management analytics, Complex management and economic systems, Data mining, Decision analysis, Decision support system, Financial engineering and risk management, Forecasting and analysis, Game theory, Industrial management, Information management, Information systems and e-Business, Logistics system management, Management engineering, Management information system, Mathematical modeling, Operations management, Optimization, Probability and statistics, Production system management, Project and program management, Quality control and reliability management, Research and Development Management, Risk Management, Scheduling and control, Simulation of management system, Social and economic modeling, Strategic management, Supply chain and logistics management, Transportation systems and management, Uncertain Decision Theory, and more.
publisher: Warwick Evans Publishing
language: en
publication name: Academic Journal of Management Science and Engineering
issn: 3080-9827
items: Optimization of Fresh Inventory Management in Xinyue Laike Supermarket Based on ABC Classification and a Perishable EOQ Model
items: Port Throughput Prediction based on ARIMA Model and Holt-Winters Exponential Smoothing Method
items: Resilient Supply Chain Network Design under Joint Facility-Road Disruptions
items: Research on the Influencing Factors of Users' Intention to Use TikTok Short Video App
items: Research Hotspots and Trends in International Public Panic Buying Behavior
items: Prefabricated Wall Panels: A Review of Structural Systems, Mechanical Properties, and Evaluation Indices
items: Experimental Study on the Mechanical Response and Seepage Characteristics of Low-Permeability Reservoirs under Pressure-Driven Water Injection Conditions
items: Collaborative Dynamic Optimization of New Energy Vehicle Power Battery Recycling and Reuse Strategies Driven by Blockchain
items: Constructing and Validating a Performance Evaluation System for Highly Qualified Specialists: A Mixed-Methods Approach Based on Rough Set Theory and Analytic Hierarchy Process
items: Research on the Transformation Path of Old Residential Communities in Xi’an from the Perspective of Complete Community
items: Optimization Design of Workshop Facility Layout for Company A
items: Research on Chain Supermarket Inventory Optimization based on Multi-dimensional Spatio-temporal Data
items: Research on the Profound Impact of Automobile Safety on Road Traffic and Social Stability
items: Research Progress of Intelligent Detection Technology and Equipment for Diseases in Cable-Supported Bridge Systems
items: Geochemical Characteristics of Shale Desorbed Gas in the Shanxi Formation of the Ordos Basin
items: Study on the Bonding Performance and Reinforcement Mechanism of the Second Interface of Cement Sheath
items: Numerical Simulation Study on Methane Transport and Dispersion in Soil under Different Leakage Locations
items: Selection and Application Research of LNG Vaporizer
items: Multimodal Intelligence Improves Maritime Congestion Forecasting and Port Optimization
items: Causal Transformers Reveal Disruption Cascades in Critical Mineral Supply Networks
items: Optimization of Pricing for Priority Use of Port Berths
items: Research on Vehicle Scheduling Method in Logistics Distribution
items: Suitability Site Selection of LNG Refueling Stations along Pinglu Canal Based on GIS and Combination Weighting Method
items: Research on Reconfiguration of Medical Waste Recovery Logistics Network in the Bordering Areas of Shanghai and Jiangsu
items: A Study on Dynamic Return and Build Strategies for Ambulances Based on an Approximate Hypercube Model
items: Research on Three-Dimensional Analysis and Systematic Optimization of Urban Peacetime-Emergency Dual-Use Public Infrastructure
items: Research on Intelligent Mining Technology and Its Application and Safety Strategy
items: Digital Twin–driven construction of low-carbon communities in traditional villages:The Case Study Of Yuxiao Village At East Qing Tombs
items: Measurement of cultivated land change and analysis of its spatial characteristics in Luoyang City
items: Assessment of Flood Resilience in the Zhengzhou Metropolitan Area in 2022 Based on Principal Component Analysis

Optimization of Fresh Inventory Management in Xinyue Laike Supermarket Based on ABC Classification and a Perishable EOQ Model
type: item
description: Fresh products are difficult to manage because they are perishable, demand changes quickly, and losses are strongly affected by storage and purchasing decisions. Taking Xinyue Laike Supermarket as a case, this paper rewrites the original thesis into a concise academic article. The study first identifies the main problems in the supermarket, including traditional inventory management, subjective ordering, high fruit loss rates, weak demand forecasting, and insufficient supplier cooperation. It then proposes an optimization framework based on ABC classification, a perishable-goods EOQ pricing model, particle swarm optimization, exponential smoothing, and supplier collaboration. The rewritten framework shows that high-value fruits should be controlled strictly, medium-value fruits should be supported by demand forecasting, and low-value fruits should be managed through stable cold-chain cooperation and simplified replenishment rules. The research provides a practical and operable method for reducing fruit inventory cost and improving fresh-food inventory efficiency in small supermarkets.
subject: Articles
  topic: section
subject: Fresh Products
  topic: keywords
subject: Inventory Optimization
  topic: keywords
subject: ABC Classification
  topic: keywords
subject: Perishable Goods
  topic: keywords
subject: EOQ Model
  topic: keywords
subject: Particle Swarm Optimization
  topic: keywords
creator: Zheng Pan
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-06-05
publication date: 2026-06-05
starting page: 30
ending page: 34
doi: 10.62051/ajmse.v1n3.05

Port Throughput Prediction based on ARIMA Model and Holt-Winters Exponential Smoothing Method
type: item
description: Port throughput is a key indicator of port operation efficiency and economic contribution. Accurate forecasting helps improve port management and risk control. This paper uses monthly container throughput data of Shanghai Port from 2013 to 2023 to compare the ARIMA model and Holt-Winters exponential smoothing method. After trend and stationarity tests, ARIMA (1,1,2), Holt-Winters additive, and multiplicative models are constructed. Model performance is evaluated using MAE, RMSE, and MAPE. The results show that the Holt-Winters multiplicative model performs best and is used to forecast throughput from January to June 2025.
subject: Articles
  topic: section
subject: Port Throughput Forecasting
  topic: keywords
subject: Shanghai Port
  topic: keywords
subject: ARIMA Model
  topic: keywords
subject: Holt-Winters Exponential Smoothing
  topic: keywords
creator: Kun Xu
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-06-05
publication date: 2026-06-05
starting page: 26
ending page: 29
doi: 10.62051/ajmse.v1n3.04

Resilient Supply Chain Network Design under Joint Facility-Road Disruptions
type: item
description: Industrial supply chain networks are increasingly exposed to compound disruptions caused by facility failures and road interruptions. These disruptions may reduce supply capacity, block transportation links, and lead to unmet demand. To address this problem, this paper studies the resilient design of a regional industrial supply chain network under joint facility-road disruptions. A two-stage robust optimization model is developed. In the first stage, facility location, facility protection, and road protection decisions are made before disruptions occur. In the second stage, transportation reallocation and shortage recourse decisions are optimized after the worst-case disruption scenario is realized. To solve the resulting min-max-min model, a column-and-constraint generation algorithm is used. The algorithm decomposes the original problem into a master problem and a subproblem. The master problem determines the first-stage network design, while the subproblem searches for the worst-case joint disruption scenario. A case study based on the electronic product supply chain in Guangdong Province is conducted to test the model. The results show that the proposed method can identify critical facilities and key roads, improve post-disruption service performance, and reduce shortage losses under extreme disruption scenarios. This study provides a practical decision-making framework for resilient supply chain network design under compound disruption risks.
subject: Articles
  topic: section
subject: Supply Chain Network Design
  topic: keywords
subject: Column-and-constraint Generation
  topic: keywords
subject: Decision-making Framework
  topic: keywords
subject: Composite Interruption Risk
  topic: keywords
creator: Yang Shi
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-06-03
publication date: 2026-06-03
starting page: 19
ending page: 25
doi: 10.62051/ajmse.v1n3.03

Research on the Influencing Factors of Users' Intention to Use TikTok Short Video App
type: item
description: TikTok short videos are a product of advancements in internet technology and modern information technology. They provide users with a wide variety of content and knowledge. Due to their ease of use, convenience, entertainment value, and feedback interaction, among other advantages, the number of TikTok app users continues to grow. However, given the intense competition in the app market, it is particularly important to ensure user retention. Therefore, this study employs SPSS 16.0 and AMOS 17.0 software to empirically test the model of factors influencing users' willingness to use TikTok. The findings indicate: ease of use positively influences users' willingness to use TikTok, entertainment value positively influences users' willingness to use TikTok, and feedback interaction positively influences users' willingness to use TikTok. Among these, ease of use has the greatest impact on users' willingness, with a specific value of 0.33, followed by entertainment value with a value of 0.21, while feedback interaction has the smallest impact, with a value of 0.21.
subject: Articles
  topic: section
subject: Tiktok Short Video App
  topic: keywords
subject: Willingness to Use
  topic: keywords
subject: Influencing Factors
  topic: keywords
subject: Structural Equation Model
  topic: keywords
creator: Zhaoyun Yang
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-06-02
publication date: 2026-06-02
starting page: 11
ending page: 18
doi: 10.62051/ajmse.v1n3.02

Research Hotspots and Trends in International Public Panic Buying Behavior
type: item
description: This study employs bibliometric methods and knowledge mapping to analyze 164 papers on panic buying from the Science Citation Index Expanded database. It examines the research landscape, identifies key hotspots, traces evolutionary pathways, and proposes future directions. The findings reveal that: 1) Annual publication output has transitioned through three distinct phases: a low-frequency exploratory period, an explosive growth period, and a stable development period. 2) A novel method for identifying research hotspot clusters—based on core keywords, cluster labels, and central terms—is proposed, leading to the identification of four major knowledge clusters: triggering contexts, psychological drivers, behavioral manifestations, and coping strategies. 3) Research topics exhibit clear evolutionary phases: an early exploratory stage (pre-2019), a pandemic-driven systematic research stage (2020–2022), and a stage of theoretical model refinement and innovation (post-2023). 4) Future research should progress systematically along four dimensions: theoretical foundations, content expansion, methodological innovation, and practical applications.
subject: Articles
  topic: section
subject: Panic Buying Behavior
  topic: keywords
subject: Emergencies
  topic: keywords
subject: CiteSpace
  topic: keywords
creator: Delin Liu
creator: Shuman Wu
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-06-02
publication date: 2026-06-02
starting page: 1
ending page: 10
doi: 10.62051/ajmse.v1n3.01

Prefabricated Wall Panels: A Review of Structural Systems, Mechanical Properties, and Evaluation Indices
type: item
description: With the rapid acceleration of prefabricated construction worldwide, new architectural wall panels have emerged as a critical vanguard of sustainable, high-efficiency engineering. Serving as a new generation of cement-based composites and lightweight structural assemblies, modern prefabricated panels feature ultra-high strength, exceptional toughness, superb thermal or acoustic insulation, and outstanding durability. This paper provides a comprehensive, deep-dive academic review synthesizing recent advancements across ultra-high space embedded wall panels, autoclaved lightweight aerated concrete (ALC) panels, light steel keel wallboards, and layered concrete-insulated composite systems. By aggregating recent empirical and numerical datasets, this review systematically dissects material composition optimization, joint connection mechanisms (rigid vs. flexible), structural reinforcement parameters, and multi-criteria lifecycle evaluation index systems. The findings demonstrate that while prefabricated wall technologies are maturing rapidly, critical challenges remain regarding the optimization of structural composite action, the elimination of localized thermal bridges, and the harmonization of objective-subjective lifecycle weighting. This review highlights prospective research paradigms to guide multi-scale testing, numerical standardization, and intelligent construction in green infrastructure.
subject: Articles
  topic: section
subject: Prefabricated Buildings
  topic: keywords
subject: Composite Wall Panels
  topic: keywords
subject: Mechanical Properties
  topic: keywords
subject: Connection Nodes
  topic: keywords
subject: Multi-criteria Lifecycle Evaluation
  topic: keywords
creator: Zhanhang Cheng
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-28
publication date: 2026-05-28
starting page: 179
ending page: 185
doi: 10.62051/ajmse.v1n2.20

Experimental Study on the Mechanical Response and Seepage Characteristics of Low-Permeability Reservoirs under Pressure-Driven Water Injection Conditions
type: item
description: To address the issues of insufficient injection capacity and slow energy replenishment associated with conventional waterflooding development in low-permeability oil reservoirs, this study takes typical low-permeability core samples from the X block in the eastern Yin'e Basin as the research subject. A systematic series of experiments on rock mechanics, single-phase and two-phase seepage, and imbibition is carried out to reveal the mechanical response of the reservoir, the evolution of seepage capacity, and the redistribution characteristics of residual oil under pressure-driven water injection conditions. The results indicate that pressure-driven water injection can significantly improve pore-throat connectivity and flow pathways, thereby enhancing the co-permeability of oil and water phases. In addition, imbibition oil displacement facilitates further mobilization of residual oil in medium and large pores.
subject: Articles
  topic: section
subject: Low-permeability Reservoir
  topic: keywords
subject: Pressure-driven Water Injection
  topic: keywords
subject: Rock Mechanics
  topic: keywords
subject: Imbibition
  topic: keywords
creator: Mengqi Wang
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-27
publication date: 2026-05-27
starting page: 172
ending page: 178
doi: 10.62051/ajmse.v1n2.19

Collaborative Dynamic Optimization of New Energy Vehicle Power Battery Recycling and Reuse Strategies Driven by Blockchain
type: item
description: Effective recycling and reuse of retired power batteries have become a critical issue for their sustainable development in the future. Currently, the market for retired power battery recycling is plagued by problems such as mixed recycling channels and lack of information transparency. Blockchain offers solutions for the full life-cycle management of power batteries. Thus, how to leverage blockchain to promote the efficient recycling and reuse of retired power batteries has emerged as a key issue. Considering two recycling channels and reuse modes empowered by blockchain, this paper establishes long-term dynamic decision-making models of the power battery closed-loop supply chain (PB-CLSC) using differential game, derives the feedback equilibrium strategies of all stakeholders. Furthermore, the impact of different recycling and reuse strategies with blockchain is thoroughly investigated, identifying the optimal recycling and reuse strategies.
subject: Articles
  topic: section
subject: Power Battery Closed-loop Supply Chain
  topic: keywords
subject: Blockchain Technology
  topic: keywords
subject: Reuse Mode
  topic: keywords
subject: Recycling Channel
  topic: keywords
subject: Differential Game
  topic: keywords
creator: Hao Jing
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-25
publication date: 2026-05-25
starting page: 154
ending page: 171
doi: 10.62051/ajmse.v1n2.18

Constructing and Validating a Performance Evaluation System for Highly Qualified Specialists: A Mixed-Methods Approach Based on Rough Set Theory and Analytic Hierarchy Process
type: item
description: The effective performance evaluation of highly qualified specialists (HQS) remains a persistent challenge for Chinese enterprises transitioning to knowledge-intensive operations. Traditional evaluation systems, designed for routine work, fail to capture the multidimensional nature of HQS contributions, which encompass cognitive engagement, value congruence, and affective attachment. This study addresses this gap by developing and validating a comprehensive performance evaluation system specifically tailored to HQS. Using a mixed-methods design, the study first identified 22 candidate indicators through literature review and expert interviews. Rough set theory was then applied to reduce redundant indicators, yielding a parsimonious 17-indicator system organized across four dimensions: work engagement (5 indicators), organizational identification (4 indicators), value identification (4 indicators), and emotional belonging (4 indicators). Analytic Hierarchy Process (AHP) was subsequently employed to determine indicator weights, revealing that value identification (weight = 0.4564) and emotional belonging (weight = 0.2219) are the most influential criterion-level dimensions. At the indicator level, company culture (0.1896) and management systems (0.1336) emerged as the most heavily weighted individual measures. Confirmatory factor analysis (CFA) of survey data from 562 HQS in Chinese enterprises demonstrated good model fit (χ²/df = 2.462, GFI = 0.940, CFI = 0.939, RMSEA = 0.051), providing empirical validation of the proposed system. This study contributes a theoretically grounded, empirically validated, and practically operational evaluation system that enables Chinese enterprises to assess HQS performance more comprehensively and systematically.
subject: Articles
  topic: section
subject: Performance Evaluation System
  topic: keywords
subject: Highly Qualified Specialists
  topic: keywords
subject: Rough Set Theory
  topic: keywords
subject: Analytic Hierarchy Process
  topic: keywords
subject: Confirmatory Factor Analysis
  topic: keywords
subject: Chinese Enterprises
  topic: keywords
creator: Sumei Zhuang
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-22
publication date: 2026-05-22
starting page: 145
ending page: 153
doi: 10.62051/ajmse.v1n2.17

Research on the Transformation Path of Old Residential Communities in Xi’an from the Perspective of Complete Community
type: item
description: China’s urban development has entered a stage dominated by stock renewal, and the renovation of old residential communities has become an important starting point for high-quality urban development. The concept of complete community and the 15-minute living circle planning provide key guidance for the renewal of old communities. Based on the perspective of human geography, this paper takes old communities in Xi’an as the research object, constructs a three-dimensional analysis framework of “spatial facilities – service system – governance mechanism”, and systematically analyzes the practical dilemmas and explorations in the renovation of old communities. The study finds that the renovation of old communities in Xi’an is confronted with the coexistence of aging infrastructure and spatial resource constraints, mismatched supply and demand of public services and prominent shortcomings in full-age services, immature multi-stakeholder co-governance mechanism and lack of long-term management. Although distinctive experience has been formed in Party-building leading grassroots governance, there are still multiple tensions between patchwork renovation and systematic renewal demand, administrative leadership and resident participation. On this basis, it puts forward the optimization path of complete community construction from three dimensions: spatial reshaping, service embedding and governance restructuring, emphasizing solving spatial constraints through systematic renewal, filling service shortcomings through experience orientation, and building a long-term mechanism through multi-stakeholder co-governance. The study points out that the ultimate goal of old community renovation is to realize the leap from “living container” to “complete living community”. The construction of complete community is not only a realistic path for urban renewal in Xi’an, but also a livelihood practice to improve residents’ sense of happiness. It also reveals the internal connection between sp…
subject: Articles
  topic: section
subject: Complete Community
  topic: keywords
subject: Renovation of Old Communities
  topic: keywords
subject: Xi’an
  topic: keywords
subject: Living Circle Renewal
  topic: keywords
creator: Qingbo Meng
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-19
publication date: 2026-05-19
starting page: 135
ending page: 144
doi: 10.62051/ajmse.v1n2.16

Optimization Design of Workshop Facility Layout for Company A
type: item
description: With the continuous growth of China’s economy and the improvement of living standards, consumers have increasingly higher expectations for product quality. To meet market demand and promote industrial upgrading, enterprises are accelerating product renewal and placing greater emphasis on product design and quality assurance. However, this has also led to rising operating costs and declining profit margins. Therefore, reducing unnecessary daily expenses has become an important issue for enterprises, and workshop layout optimization is one effective way to improve operational efficiency and reduce costs. FlexSim is a computer-based simulation software used to model discrete-event processes, and it is widely applied in manufacturing, material handling, and office workflow analysis. In this study, POSCO-OSTEM (Suzhou) Automotive Parts Co., Ltd. in Kunshan is selected as the research object. Based on its workshop layout and production process, a production flow simulation model is established. Following the Systematic Layout Planning method, the production process and workshop layout are analyzed and improved, with the aim of developing a practical layout optimization scheme to reduce on-site management costs.
subject: Articles
  topic: section
subject: Facility Layout Optimization
  topic: keywords
subject: Systematic Layout Planning
  topic: keywords
subject: Flexsim Simulation
  topic: keywords
subject: Workshop Layout
  topic: keywords
subject: Automotive Parts Manufacturing
  topic: keywords
creator: Zhuo Chen
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-15
publication date: 2026-05-15
starting page: 127
ending page: 134
doi: 10.62051/ajmse.v1n2.15

Research on Chain Supermarket Inventory Optimization based on Multi-dimensional Spatio-temporal Data
type: item
description: With the increasing scale and complexity of chain supermarkets, inventory management in multi-dimensional spatio-temporal data environments becomes more challenging, as traditional methods fail to handle regional demand heterogeneity. This paper proposes an integrated inventory management approach that leverages spatio-temporal data by combining the DeepAR probabilistic forecasting model with the newsvendor model for region-specific optimization. Sales regions are divided into five areas, and four demand-influencing features are selected. The DeepAR model, with a Gaussian likelihood, estimates demand distributions for each region. Experimental results show stable training convergence and high prediction interval coverage (PICP above 0.85 for most regions), while adaptively widening intervals in data-scarce or highly seasonal regions. These forecasts are then used in the newsvendor model to determine optimal order quantities by minimizing overage and underage costs. The proposed framework enables differentiated inventory strategies, improving service levels and operational efficiency.
subject: Articles
  topic: section
subject: Multi-dimensional Spatio-temporal Data
  topic: keywords
subject: Inventory
  topic: keywords
subject: Optimization
  topic: keywords
subject: DeepAR
  topic: keywords
creator: Hanlin Zhou
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-14
publication date: 2026-05-14
starting page: 118
ending page: 126
doi: 10.62051/ajmse.v1n2.14

Research on the Profound Impact of Automobile Safety on Road Traffic and Social Stability
type: item
description: Automotive safety is the cornerstone of transformation in the transportation sector and a key pillar for safeguarding road traffic safety and sustaining the steady development of the industry. The advancement of automotive safety is not only pertinent to the lives, health and property security of road users, but also exerts a profound impact on the high-quality development of the automotive industry and the harmonious and stable operation of society. Continuously promoting the improvement of automotive safety levels is of great significance.
subject: Articles
  topic: section
subject: Automotive Safety
  topic: keywords
subject: Cornerstone
  topic: keywords
subject: High Quality Development
  topic: keywords
subject: Social Harmony and Stability
  topic: keywords
creator: Yu Gao
creator: Yichi Wang
creator: Ru Tian
creator: Fan Zhang
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-13
publication date: 2026-05-13
starting page: 109
ending page: 117
doi: 10.62051/ajmse.v1n2.13

Research Progress of Intelligent Detection Technology and Equipment for Diseases in Cable-Supported Bridge Systems
type: item
description: Bridges are important infrastructure for China's modernization. Currently, China's bridge construction scale, technical level, especially the construction level of long-span bridges, has leapt to the forefront of the world. Cable-supported bridges include cable-stayed bridges and suspension bridges. For bridge projects with a span exceeding 1000 m, cable-supported bridges are the only bridge type choice. Many early-built long-span cable-supported bridges at home and abroad have experienced service performance degradation during their service life. The actual service life of bridges is far shorter than the design life, one of the important reasons being the lack of management and maintenance. The domestic mainstream bridge maintenance management method is manual inspection, which is relatively passive, time-consuming, and has high repair costs. In recent years, UAV technology, robotics, machine learning algorithms, and LiDAR point cloud-based 3D reconstruction technology for buildings have made significant progress. Researchers have developed various bridge disease detection equipment and methods, some of which have been applied in practical engineering. This paper mainly introduces the main disease forms of cable-supported bridges and some research directions and achievements of intelligent detection technology, and analyzes the advantages and disadvantages of different intelligent detection technologies and equipment.
subject: Articles
  topic: section
subject: Cable-supported Bridges
  topic: keywords
subject: Intelligent Detection Technique
  topic: keywords
subject: UAV
  topic: keywords
subject: Robot
  topic: keywords
subject: Machine Learning Algorithm
  topic: keywords
subject: Point Cloud
  topic: keywords
subject: 3D Reconstruction
  topic: keywords
creator: Xinming Huang
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-13
publication date: 2026-05-13
starting page: 95
ending page: 108
doi: 10.62051/ajmse.v1n2.12

Geochemical Characteristics of Shale Desorbed Gas in the Shanxi Formation of the Ordos Basin
type: item
description: The Shanxi Formation in the Ordos Basin is an important strata for continental shale gas exploration in China. The study of the geochemical characteristics of its desorbed gas and the main controlling factors of reservoir formation is of great significance for resource potential assessment and development optimization. Based on the core samples from Well Chang96 and Well Yan2156 in the southeastern part of the basin, this paper systematically analyzes the characteristics of desorbed gas from shales in the Shanxi Formation. The research results show that: (1) The shale gas in the Shanxi Formation is mainly high-maturity thermogenic dry gas. The proportion of methane ranges from 80% to 93% (with an average of 80.05% in Member 1 and 84.02% in Member 2). The content of heavy hydrocarbons is extremely low (<0.3%), and the methane coefficient is >0.99. The non-hydrocarbon gases are mainly CO₂ and N₂ (with an average of 14% - 16%), and some are affected by air mixing. (2) The content of desorbed gas is closely related to lithology and organic matter abundance. Carbonaceous mudstone has the highest desorbed gas content, while fine-grained rocks such as mudstone and siltstone have significantly lower desorbed gas content, which is mainly controlled by differences in organic carbon content. (3) The desorbed gas content of shale gas in the Shanxi Formation of the Ordos Basin is low, which restricts resource potential assessment and favorable area prediction. This study provides a scientific basis for the efficient exploration and development of shale gas in the Ordos Basin and contributes to the improvement of the theoretical and technical systems for continental shale gas.
subject: Articles
  topic: section
subject: Shale Desorbed Gas
  topic: keywords
subject: Shanxi Formation
  topic: keywords
subject: Organic Matter Abundance
  topic: keywords
subject: Ordos Basin
  topic: keywords
creator: Zewei Xue
creator: Bing Qu
creator: Zexing Wang
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-12
publication date: 2026-05-12
starting page: 87
ending page: 94
doi: 10.62051/ajmse.v1n2.11

Study on the Bonding Performance and Reinforcement Mechanism of the Second Interface of Cement Sheath
type: item
description: To address the engineering challenge of debonding failure of the “second interface” (between the cement sheath and the formation rock) induced by alternating thermal-mechanical loads during geothermal well cementing, this study systematically investigated the reinforcement mechanism of a hybrid system of graphene and carbon nanotubes (CNTs) on the second-interface bonding performance of cement stone, using typical sandstone cores from the Ordos Basin as the substrate. The evolution of interfacial bond strength and failure mode under different CNTs contents (0%–0.12%) was evaluated by push-out shear tests. Combined with microstructural characterization techniques such as FE-SEM and EDS, the densification and toughening mechanisms of the interfacial transition zone (ITZ) were revealed from the perspectives of morphological evolution, element migration, and chemical bonding. The results showed that the 28-day second-interface bond strength reached 8.20 MPa, representing an approximately 15-fold increase compared to the baseline group (0.51 MPa). The shear stress–slip curve transitioned from a brittle “cliff-like” drop to a “pseudo-ductile” failure with serrated rebounds, indicating significantly enhanced fracture toughness. Microstructural analysis confirmed that graphene provided “template nucleation” and a two-dimensional skeleton, while CNTs played a “bridging–pull-out” energy dissipation role spanning cracks. Together, they constructed a “line-surface” three-dimensional interpenetrating network, reducing the interfacial Ca/Si atomic ratio from 0.59 to 0.43 and driving the interface bonding from physical van der Waals forces to chemical covalent bonds (Si–O–Si/Si–O–Ca). Excessive CNTs (≥0.12%) led to agglomeration, forming stress concentration sites and causing a decline in strength. This study provides a theoretical basis and material proportioning reference for the integrated design of “high thermal conductivity” and “strong interface” in geothermal well cementing…
subject: Articles
  topic: section
subject: Geothermal Cementing
  topic: keywords
subject: Second Interface
  topic: keywords
subject: Carbon Nanotubes (CNTs)
  topic: keywords
subject: Bond Strength
  topic: keywords
subject: Pseudo-ductile Failure
  topic: keywords
subject: Interfacial Transition Zone (ITZ)
  topic: keywords
subject: Chemical Bonding
  topic: keywords
creator: Chongyang Liu
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-12
publication date: 2026-05-12
starting page: 72
ending page: 86
doi: 10.62051/ajmse.v1n2.10

Numerical Simulation Study on Methane Transport and Dispersion in Soil under Different Leakage Locations
type: item
description: To further investigate the influence of leakage direction in buried pipelines on gas diffusion within soil, this study develops a fluid–solid coupled numerical model based on the unified Darcy–Brinkman–Biot equations. The migration behavior of methane and crack evolution characteristics under single-side, adjacent double-side, and three-side leakage conditions are systematically simulated and compared. The results show that leakage direction directly determines the geometric configuration of soil cracks by altering the initial kinetic energy distribution and local gas pressure. As the number of leakage directions increases, the number of cracks increases significantly; however, due to energy dispersion, the length and width of individual cracks decrease. The three-side leakage condition exhibits the highest peak pressure in the initial stage (exceeding 3700 Pa), which drives the formation of a more complex and dispersed crack network. In addition, the evolution of methane concentration fields is highly consistent with crack development. As the main cracks penetrate the boundaries and form stable flow channels, the gas transport mechanism transitions from pore diffusion to rapid transport along crack pathways, exhibiting a pronounced channeling effect. These findings provide important numerical evidence for urban pipeline safety monitoring and risk assessment.
subject: Articles
  topic: section
subject: Buried Pipelines
  topic: keywords
subject: Numerical Simulation
  topic: keywords
subject: Crack Evolution
  topic: keywords
subject: Fluid-Solid Coupling
  topic: keywords
creator: Xinxiong Lv
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-11
publication date: 2026-05-11
starting page: 64
ending page: 71
doi: 10.62051/ajmse.v1n2.09

Selection and Application Research of LNG Vaporizer
type: item
description: In the context of global energy transition and sustainable development, liquefied natural gas (LNG) is becoming more and more prominent due to its clean and efficient advantages. As a key equipment in the LNG industry chain, gasifiers have a significant impact on their performance and efficiency, and different types of gasifiers have their own characteristics. This study aims to deeply explore the selection and application of LNG gasifiers, and establish scientific selection methods and application strategies through a comprehensive analysis of different types of gasifiers. From a theoretical point of view, it can fill the gaps in the comprehensive evaluation and systematic comparison of existing studies. In practice, it can ensure stable energy supply, reduce costs, and promote industrial technological progress. There has been progress in this field at home and abroad, but there are still problems such as imperfect multi-objective optimization and the need to strengthen reliability and safety. The innovation of this study lies in the multi-dimensional comprehensive analysis, the combination of qualitative and quantitative, and the focus on new technologies and application scenarios, providing strong support for LNG projects.
subject: Articles
  topic: section
subject: LNG
  topic: keywords
subject: Vaporizer
  topic: keywords
subject: Model Selection
  topic: keywords
subject: Receiving Station
  topic: keywords
creator: Tao Dang
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-11
publication date: 2026-05-11
starting page: 55
ending page: 63
doi: 10.62051/ajmse.v1n2.08

Multimodal Intelligence Improves Maritime Congestion Forecasting and Port Optimization
type: item
description: Maritime congestion at major global container ports represents one of the most pressing logistical bottlenecks of contemporary trade, with cascading consequences that permeate supply chains, freight economics, and carbon accounting simultaneously. This paper proposes a multimodal intelligence framework that integrates heterogeneous data streams — encompassing AIS positional records, meteorological observations, historical berth logs, and satellite-derived imagery — within a unified deep learning pipeline to forecast port congestion and optimize berth scheduling. A CNN-LSTM-GRU hybrid network with a cross-modal attention fusion layer is trained and evaluated on two-year real-world vessel traffic data from the Port of Shanghai and the Port of Singapore. Experimental results demonstrate that the proposed framework achieves a 23.7% reduction in MAE and a 19.4% reduction in RMSE relative to single-modality LSTM baselines. A downstream berth optimization module, driven by the congestion prediction output, reduces mean vessel waiting time by 17.6% under controlled simulation conditions. These findings confirm that multimodal data fusion constitutes a critical architectural principle for next-generation port intelligence systems.
subject: Articles
  topic: section
subject: Maritime Congestion Forecasting
  topic: keywords
subject: Port Optimization
  topic: keywords
subject: Multimodal Deep Learning
  topic: keywords
subject: AIS Data Fusion
  topic: keywords
subject: Berth Scheduling
  topic: keywords
subject: Vessel Traffic Prediction
  topic: keywords
subject: Intelligent Transportation Systems
  topic: keywords
creator: Ziyang Shen
creator: Hongrui Cai
creator: Jonathan Pierce
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-10
publication date: 2026-05-10
starting page: 44
ending page: 54
doi: 10.62051/ajmse.v1n2.07

Causal Transformers Reveal Disruption Cascades in Critical Mineral Supply Networks
type: item
description: Critical mineral supply chains—encompassing lithium, cobalt, and rare earth elements (REE)—underpin the global clean energy transition yet remain acutely vulnerable to multi-tier disruption cascades. Existing forecasting frameworks based on recurrent architectures or static Bayesian networks capture sequential dependencies but fail to distinguish genuine causal pathways from spurious temporal correlations, limiting their capacity to identify which network nodes amplify shocks across tiers. This paper introduces a causal Transformer (CT) architecture that integrates multi-head attention with a structural causal model (SCM) layer constrained by a directed acyclic graph (DAG) encoding domain knowledge. Applied to a four-tier network spanning extraction, processing, intermediate manufacturing, and end-use assembly for lithium-ion battery and permanent-magnet supply chains, the CT achieves F1 scores of 0.823–0.891 for cascade onset detection and a mean absolute error (MAE) of 0.97–1.31 tiers for propagation depth, outperforming long short-term memory (LSTM), gated recurrent unit (GRU), standard Transformer, and static Bayesian network baselines. Causal attribution identifies processing-tier geographic concentration as the dominant cascade amplifier, with Democratic Republic of Congo cobalt refining and Chinese REE separation collectively responsible for 63% of detected cascade events. Results carry direct policy implications, arguing for strategic stockpiling calibrated to processing-tier inventory compression cycles rather than extraction-tier geological events.
subject: Articles
  topic: section
subject: Critical Mineral Supply Chains
  topic: keywords
subject: Causal Transformer
  topic: keywords
subject: Disruption Cascades
  topic: keywords
subject: Supply Network Resilience
  topic: keywords
subject: Multi-Head Attention
  topic: keywords
subject: Causal Inference
  topic: keywords
creator: Zhongkai Xie
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-09
publication date: 2026-05-09
starting page: 35
ending page: 43
doi: 10.62051/ajmse.v1n2.06

Optimization of Pricing for Priority Use of Port Berths
type: item
description: With the growth of container shipping demand and the increasing size of vessels, the scarcity of frontline port resources, such as berths and quay cranes, has become increasingly prominent. Traditional port operations usually treat berth allocation, quay crane assignment and charging mechanisms as separate decisions, making it difficult to fully reflect the internal relationship among resource scarcity, differentiated service demand and port revenue management. As a differentiated service with service commitment attributes, berth priority usage rights can guide vessels’ choices through pricing mechanisms and provide a new approach for optimizing port resource allocation and improving revenue. Therefore, this thesis studies the pricing problem of berth priority usage rights, focusing on the coordinated optimization relationship among priority pricing, berth planning and quay crane allocation. This thesis first defines the service connotation of berth priority usage rights, regarding them as differentiated services in which the port provides vessels with earlier latest service completion commitments. On the demand side, reservation price and consumer utility theory are introduced to describe vessels’ willingness to pay for different priority levels. Vessels make choices according to the net utility formed by the difference between the reservation price and the actual price of each level. When positive net utility exists, a vessel chooses the priority level with the highest utility; when all paid priority levels fail to provide positive net utility, the vessel chooses the non-priority option. In this way, the priority price is not only a charging parameter, but also an important decision variable that affects vessels’ priority-level choices, demand structure and resource allocation results.
subject: Articles
  topic: section
subject: Berth Planning
  topic: keywords
subject: Priority Rights
  topic: keywords
subject: Modeling
  topic: keywords
creator: Yongjie Xu
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-08
publication date: 2026-05-08
starting page: 29
ending page: 34
doi: 10.62051/ajmse.v1n2.05

Research on Vehicle Scheduling Method in Logistics Distribution
type: item
description: Vehicle distribution is a critical link in logistics activities that directly connects with customers, and distribution costs account for a significant proportion of overall logistics operations. This paper aims to solve the vehicle scheduling problem faced by logistics enterprises in practice and proposes an optimization model for the Capacitated Vehicle Routing Problem based on the Ant Colony Algorithm. The main purpose of the study is to improve vehicle utilization efficiency and reduce operating costs by optimizing distribution paths. The experimental results show that the Ant Colony Algorithm has high efficiency and feasibility in solving the vehicle scheduling problem with capacity constraints, effectively reducing logistics distribution costs and providing a viable solution for practical logistics vehicle scheduling.
subject: Articles
  topic: section
subject: Vehicle Scheduling Problem
  topic: keywords
subject: Logistics Distribution
  topic: keywords
subject: Ant Colony Algorithm
  topic: keywords
creator: Xiaofan Shi
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-08
publication date: 2026-05-08
starting page: 23
ending page: 28
doi: 10.62051/ajmse.v1n2.04

Suitability Site Selection of LNG Refueling Stations along Pinglu Canal Based on GIS and Combination Weighting Method
type: item
description: With the official opening of the Pinglu Canal, the core backbone project of the New Western Land-Sea Corridor, the demand for clean energy refueling infrastructure for inland shipping has increased sharply. Liquefied Natural Gas (LNG), as a low-carbon and efficient ship fuel, has become the main direction for the green transformation of inland shipping. However, the current site selection of LNG refueling stations along inland rivers faces problems such as single evaluation dimension, strong subjectivity in weight determination, and lack of spatial quantitative analysis. To address these issues, this paper constructs a suitability evaluation index system for LNG refueling stations along the Pinglu Canal from four dimensions: waterway and navigation conditions, market demand conditions, resource and infrastructure conditions, and safety and environmental conditions. A combination weighting model integrating Analytic Hierarchy Process (AHP) and Entropy Weight Method (EWM) is established to determine the index weights, which effectively balances the subjectivity of expert judgment and the objectivity of data information. Combined with Geographic Information System (GIS) spatial analysis technology, the single-factor raster layers are superimposed and analyzed to obtain the comprehensive suitability distribution map of LNG refueling stations. The results show that the highly suitable areas for LNG refueling stations along the Pinglu Canal are mainly concentrated in the Qinzhou Port section, Luwu Town section and Xijin Reservoir area of Hengzhou, accounting for 4.2%, 2.5% and 2.0% of the total study area respectively (totaling 8.7% of the total region). Finally, 5 optimal alternative sites are proposed, which can provide scientific decision-making basis for the planning and construction of LNG refueling infrastructure along the Pinglu Canal.
subject: Articles
  topic: section
subject: Pinglu Canal
  topic: keywords
subject: LNG Refueling Station
  topic: keywords
subject: Site Selection
  topic: keywords
subject: GIS
  topic: keywords
subject: Combination Weighting Method
  topic: keywords
creator: Xuetong Qi
creator: Pan Qi
creator: Nuo Xu
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-08
publication date: 2026-05-08
starting page: 13
ending page: 22
doi: 10.62051/ajmse.v1n2.03

Research on Reconfiguration of Medical Waste Recovery Logistics Network in the Bordering Areas of Shanghai and Jiangsu
type: item
description: With the rapid development of the healthcare industry in China, the safe and efficient disposal of medical waste (MW) has become a critical issue in environmental governance and public health safety. The traditional territory-based MW disposal model has caused severe resource mismatch between the bordering areas of Shanghai and Jiangsu, where geographical proximity coexists with fragmented administrative governance. To solve this contradiction, this study converts the intangible administrative barrier into measurable administrative coordination cost, and establishes a bi-objective optimization model with the core objectives of minimizing total comprehensive cost and minimizing total carbon emissions. Aiming at the limitation of traditional K-means algorithm that only relies on geographic distance, an improved K-means clustering algorithm integrated with administrative cost and carbon cost weights is designed, and combined with an improved Genetic Algorithm (GA) to complete model solving. Taking Chongming District of Shanghai and Qidong City of Jiangsu as the empirical case, this study conducts a quantitative analysis with 218 medical institutions as research samples. The results show that compared with the traditional independent disposal model within administrative regions, the optimized cross-regional collaborative scheme reduces the total transportation mileage by 18.04%, the total operation cost by 13.20%, and the total carbon emissions by 17.65%, while increasing the 48-hour collection and transportation compliance rate from 92.5% to 99.8%. This study provides a scientific decision-making reference for cross-regional MW governance in the Yangtze River Delta, and offers a replicable theoretical framework for breaking administrative barriers and promoting the low-carbon transformation of reverse logistics networks.
subject: Articles
  topic: section
subject: Medical Waste
  topic: keywords
subject: Reverse Logistics Network
  topic: keywords
subject: Cross-Regional Collaboration
  topic: keywords
subject: Carbon Footprint
  topic: keywords
subject: Location-Routing Problem
  topic: keywords
subject: K-means Clustering
  topic: keywords
subject: Genetic Algorithm
  topic: keywords
creator: Fengrui Tian
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-07
publication date: 2026-05-07
starting page: 7
ending page: 12
doi: 10.62051/ajmse.v1n2.02

A Study on Dynamic Return and Build Strategies for Ambulances Based on an Approximate Hypercube Model
type: item
description: With the ageing population and the accelerating pace of urbanization, the demand for emergency medical services is experiencing sustained rapid growth. The traditional resource allocation model of ‘fixed stations plus return to base’ struggles to adapt to the dual time-varying characteristics of both resources and demand, resulting in an increasingly acute imbalance between supply and demand. This paper focuses on the dynamic return-to-base decision-making problem for ambulances that do not return to their original station upon completing a mission, and proposes a dynamic return-to-base strategy based on the Jarvis approximate hypercube model.This study advances ambulance return strategies from ‘static rule optimization to ‘dynamic online decision-making’, achieving an improvement from ‘single-objective’ to ‘multi-objective’ approaches, thereby providing theoretical and methodological support for the dynamic allocation of emergency resources
subject: Articles
  topic: section
subject: Return and Build
  topic: keywords
subject: Dynamic Decision-making
  topic: keywords
subject: Multi-objective
  topic: keywords
creator: Wenfei Lei
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-05-07
publication date: 2026-05-07
starting page: 1
ending page: 6
doi: 10.62051/ajmse.v1n2.01

Research on Three-Dimensional Analysis and Systematic Optimization of Urban Peacetime-Emergency Dual-Use Public Infrastructure
type: item
description: To address the theoretical and practical challenges of 'dual-use for normal and emergency situations' public infrastructure from concept to implementation, this study is based on the reality of the regularized urban risks in China. Using an integrated 'structure–process–function' analytical framework, it systematically reviews the development trajectory of dual-use facilities from the germination of ideas, the establishment of concepts, to systematic promotion, and comprehensively diagnoses their construction status and core issues across the three dimensions of structure, process, and function, using multi-source data and cases. By analyzing innovative practices at home and abroad to extract experiential insights, the study proposes a system optimization path aimed at high-quality development, covering key aspects such as institutional foundations, transformation mechanisms, resilience efficiency, and sustainable operation, with the aim of providing theoretical support and practical reference for promoting the high-quality development of dual-use public infrastructure beyond large-scale construction.
subject: Articles
  topic: section
subject: Dual-use for normal and emergency situations
  topic: keywords
subject: Public infrastructure
  topic: keywords
subject: Three-dimensional framework
  topic: keywords
subject: Resilient city
  topic: keywords
subject: Systematic optimization
  topic: keywords
creator: Yanan Shi
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-28
publication date: 2026-04-28
starting page: 32
ending page: 46
doi: 10.62051/ajmse.v1n1.05

Research on Intelligent Mining Technology and Its Application and Safety Strategy
type: item
description: This paper discusses the development, application and challenges of intelligent mining technology. Firstly, the basis of intelligent mining technology is introduced, including intelligent perception, intelligent decision-making and control, and the application of big data and cloud computing in this field. Subsequently, the paper expounds the practical application of intelligent mining, such as the intelligent mining system of underground and open-pit mines, as well as the intelligentization of the beneficiation process, and analyzes its effect through typical cases. The paper also discusses the impact of intelligent mining on safety and environment. At the same time, this paper points out the challenges and problems faced by the development of intelligent mining technology, and looks forward to its future development trend and direction. Finally, the importance and significance of intelligent mining are summarized, and some suggestions are put forward to promote the innovation and development of intelligent mining technology, so as to improve the level of intelligent mining in China and realize the sustainable development of mining industry.
subject: Articles
  topic: section
subject: Intelligent mining
  topic: keywords
subject: Security and economy
  topic: keywords
subject: Sustainable development
  topic: keywords
creator: Yandong Li
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-28
publication date: 2026-04-28
starting page: 47
ending page: 51
doi: 10.62051/ajmse.v1n1.06

Digital Twin–driven construction of low-carbon communities in traditional villages:The Case Study Of Yuxiao Village At East Qing Tombs
type: item
description: Old villages are facing the problem of disassembled broken information, and it is hard to make much numerical help convert to reduce less carbon dioxide. The update with digital twins (DT) will be offered Taking Yuxiao village which belongs to the Northern area of East Qing tombs as an example we construct Meso – spatial pattern and Micro – building performance evaluation system. By using the space syntax method, we conduct the spatial analysis on the yuxiaovillage and carry out simulation study about dynamic energy consumption through DeST-H software. According to the result, by using meso-scale ventilation structure improvement and also improve micro-level envelope performance at the same time so that we can save up from 35 - 40% operational building energy use. This is a road that can prove the scientific correctness and usefulness of Digital Twin helping rural area make low-carbon decision-making.
subject: Articles
  topic: section
subject: Digital Twin
  topic: keywords
subject: Traditional Villages
  topic: keywords
subject: Low-carbon Community
  topic: keywords
subject: Space Syntax
  topic: keywords
subject: Energy Simulation
  topic: keywords
creator: Liang Pan
creator: Xiaolin Li
creator: Xuan Ding
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-16
publication date: 2026-04-16
starting page: 28
ending page: 31
doi: 10.62051/ajmse.v1n1.04

Measurement of cultivated land change and analysis of its spatial characteristics in Luoyang City
type: item
description: Cultivated land is a crucial foundation for agricultural production and an important pillar for the development of human society. To better coordinate the relationship between economic development and cultivated land protection in the context of urbanization, and to pursue a path of mutual promotion between economic growth and cultivated land conservation, this study takes Luoyang City as the research area. Using data related to cultivated land resources and socio-economic statistics, it analyzes the impact of the new urbanization process on the quantity and spatial distribution of cultivated land resources in Luoyang City from 2005 to 2020. The results show that: (1) The single dynamic degree of cultivated land use was -0.25% in Luoyang City from 2005 to 2020, indicating a declining trend in cultivated land quantity with a relatively slow rate of change. Only during 2005–2010 did cultivated land show an increasing trend, and the dynamic degree of cultivated land area was the highest during this period, representing the fastest change in cultivated land area. (2) Changes in cultivated land resources varied across counties and districts in Luoyang City. The relative change rate of cultivated land in all counties and districts from 2005 to 2020 was greater than 1, indicating that the rate of cultivated land change in each region was faster than that of Luoyang City as a whole. (3) The spatiotemporal change in cultivated land area in Luoyang City exhibited a continuous decreasing trend. From 2005 to 2015, the ANN value was close to 0, indicating that the spatial distribution of cultivated land in Luoyang City was closer to a clustered distribution. From 2015 to 2020, the ANN value was closer to 1, indicating that the spatial distribution of cultivated land during this period was more random compared to the previous three years. This study provides a scientific basis for coordinating the dynamic balance between urban construction and cultivated land protection, and for …
subject: Articles
  topic: section
subject: Cultivated land use change
  topic: keywords
subject: Spatial evolution
  topic: keywords
subject: Average Nearest Neighbor index
  topic: keywords
subject: Luoyang City
  topic: keywords
creator: Ping Liu
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-08
publication date: 2026-04-08
starting page: 20
ending page: 27
doi: 10.62051/ajmse.v1n1.03

Assessment of Flood Resilience in the Zhengzhou Metropolitan Area in 2022 Based on Principal Component Analysis
type: item
description: Floods are characterized by their suddenness, destructive power, and unpredictability, posing serious threats to human society and the natural environment. Building resilience provides a new approach for urban systems to cope with floods. This study constructs a flood resilience index system and uses principal component analysis to comprehensively evaluate the basic resistance, disaster prevention and early warning, emergency response, and adaptive recovery capabilities of the Zhengzhou metropolitan area, thereby determining the resilience level of each city within the Zhengzhou metropolitan area. Simultaneously, the natural discontinuity method is used to compare the spatial differences in flood resilience among different cities. The results show that in 2022, the ranking of the comprehensive flood resilience scores of cities in the Zhengzhou metropolitan area was as follows: Zhengzhou > Pingdingshan > Xuchang > Xinxiang > Luohe > Luoyang > Jiyuan > Kaifeng > Jiaozuo, with Zhengzhou achieving the highest comprehensive flood resilience score. The 2022 flood resilience levels in the Zhengzhou metropolitan area show that 5 cities were at a low resilience level, 3 cities at a medium resilience level, and Zhengzhou at a high resilience level, exhibiting strong spatial differences and generally showing a pattern of high resilience in the middle and low resilience from east to west. The research findings can provide a basis for formulating policies to enhance the resilience of the Zhengzhou metropolitan area to flood disasters.
subject: Articles
  topic: section
subject: Zhengzhou metropolitan area
  topic: keywords
subject: Flood disaster
  topic: keywords
subject: Resilience
  topic: keywords
subject: Principal component analysis
  topic: keywords
subject: Natural breakpoint method
  topic: keywords
creator: Qianqian Zhang
rights: Copyright (c) 2026 Academic Journal of Management Science and Engineering https://creativecommons.org/licenses/by-nc/4.0
date: 2026-04-06
publication date: 2026-04-06
starting page: 10
ending page: 19
doi: 10.62051/ajmse.v1n1.02