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学者姓名：胡喜生
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Abstract ：
Road construction profoundly affects forest landscapes, but its impact on the coupling between forest resilience and fragmentation remains underexplored. Thus, we calculated kernel density estimation (KDE) as an indicator of road density and quantified spatiotemporal dynamics of forest resilience and fragmentation in China from 2010 to 2020. We further examined how road density influences the coupling between forest resilience and fragmentation. Results showed that: (1) Forest resilience increased nationally, and fragmentation declined in most regions. (2) Bivariate spatial autocorrelation between coupling dynamics and KDE revealed high-high clusters in the Yangtze and Pearl River Deltas, and low-low in Daxinganling and southwestern Tibet. (3) SHapley Additive exPlanations showed that high KDE contributed positively and low KDE contributed negatively to coupling dynamics; multiscale geographically weighted regression revealed stronger synergistic effects in the pan-south and weaker in the northeast. This study offers quantitative insights into sustainable road planning and supports ecological restoration strategies.
Keyword ：
eXtreme Gradient Boosting (XGBoost) eXtreme Gradient Boosting (XGBoost) Forest fragmentation Forest fragmentation Forest resilience Forest resilience Machine learning Machine learning (MGWR) (MGWR) Multiscale geographically weighted regression Multiscale geographically weighted regression Road density Road density
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| GB/T 7714 | Qiu, Weiguo , Liu, Miaomiao , Fu, Qingjie et al. Impact of road density on the coupling of forest resilience and fragmentation [J]. | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT , 2026 , 150 . |
| MLA | Qiu, Weiguo et al. "Impact of road density on the coupling of forest resilience and fragmentation" . | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT 150 (2026) . |
| APA | Qiu, Weiguo , Liu, Miaomiao , Fu, Qingjie , Wang, Zhanyong , Zhang, Lanyi , Jiang, Li et al. Impact of road density on the coupling of forest resilience and fragmentation . | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT , 2026 , 150 . |
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本发明公开了基于无人机的空气污染监测位置及指标参数确定方法，1)使用地面移动监测平台对待测道路沿线监测，获取平面数据；2)对监测数据进行匹配和校正；3)将校正后的监测数据与电子地图匹配后通过插值获取完整地面二维分布数据，再运用热点分析获取待测区域空气污染热点位置；4)利用无人机污染监测平台对热点位置进行垂直监测；5)运用聚类分析将各热点位置依据高度层进行分类，进而获取各类别指标的最优值和筛选需长期监测位置；6)采用层次分析‑灰色关联分析对聚类后的结果进行量化，确定各指标关联权重和关联度最大的高度；7)结合监测情况将关联度最大的高度层确定为需长期监测的点位，而权重大的指标则作为辅助监测指标。
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| GB/T 7714 | 王占永 , 曹如晖 , 刘凯烜 et al. 基于无人机的空气污染监测位置及指标参数确定方法 : CN202311411805.0[P]. | 2023-10-27 . |
| MLA | 王占永 et al. "基于无人机的空气污染监测位置及指标参数确定方法" : CN202311411805.0. | 2023-10-27 . |
| APA | 王占永 , 曹如晖 , 刘凯烜 , 李白 , 胡喜生 . 基于无人机的空气污染监测位置及指标参数确定方法 : CN202311411805.0. | 2023-10-27 . |
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本发明公开了一种基于最小道路阻抗模型的低碳道路选线方法，包括：获取研究区的高程栅格数据图层；获取中国土地碳汇栅格数据图层，通过裁剪得出研究区碳汇栅格数据图层；将所述高程栅格数据图层进行标准化，得到地表高程阻力面；将所述研究区碳汇栅格数据图层进行标准化，得到土地碳汇阻力面；将所述地表高程阻力面对应的阻力值与土地碳汇阻力面对应的阻力值进行加权叠加，得到研究区的成本栅格数据；在研究区的公路交通地图上确定规划路线的起点与终点；根据成本栅格数据、起点的坐标信息与终点的坐标信息对起点与终点之间的成本距离和成本路径进行分析，得到起点与终点之间的最低成本路径。本发明为解决人工选线方法存在的问题提供科学依据。
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| GB/T 7714 | 林程翔 , 胡喜生 , 巫志龙 et al. 一种基于最小道路阻抗模型的低碳道路选线方法 : CN202311679211.8[P]. | 2023-12-07 . |
| MLA | 林程翔 et al. "一种基于最小道路阻抗模型的低碳道路选线方法" : CN202311679211.8. | 2023-12-07 . |
| APA | 林程翔 , 胡喜生 , 巫志龙 , 林森 , 王占永 , 张兰怡 . 一种基于最小道路阻抗模型的低碳道路选线方法 : CN202311679211.8. | 2023-12-07 . |
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以《工程力学》课程为切入点，探索线上线下混合式教学模式的实践与成效。针对传统教学中存在的学生参与度不足和个性化学习支持缺乏等问题，基于超星学习通平台，设计了静力学、材料力学等模块的混合式教学方案，通过线上资源学习与线下实践辅导相结合的方式，优化课前预习、课中互动和课后反馈环节。教学方法涵盖视频资源制作、线上测试与讨论、线下实验教学及案例分析等多种形式，旨在提升学生的学习兴趣与参与度，同时增强其工程实践能力与综合素质。研究结果表明，混合式教学模式显著改善了学生的学习效果，为工程力学等理论性强、计算复杂的课程提供了教学创新的有益参考。
Keyword ：
工程力学 工程力学 教学成效 教学成效 混合式教学模式 混合式教学模式 线上线下结合 线上线下结合
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| GB/T 7714 | 叶丽敏 , 吴思瑶 , 施群 et al. 线上线下混合式教学在《工程力学》课程中的应用与效果 [J]. | 牡丹江教育学院学报 , 2025 , 6 (01) : 89-94 . |
| MLA | 叶丽敏 et al. "线上线下混合式教学在《工程力学》课程中的应用与效果" . | 牡丹江教育学院学报 6 . 01 (2025) : 89-94 . |
| APA | 叶丽敏 , 吴思瑶 , 施群 , 胡喜生 . 线上线下混合式教学在《工程力学》课程中的应用与效果 . | 牡丹江教育学院学报 , 2025 , 6 (01) , 89-94 . |
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为了解决高校课程思政建设过程中出现的与思想政治理论课同向同行的各类课程的思政教育元素同质化内容所占比例过高导致的“超限效应”问题，通过问卷调查，对高校思想政治教育教学中“超限效应”的影响进行分析并提出应对策略，以期提高大学生的学习效率和高校的思政教育效果。问卷调查主要围绕“对思政教学方式的接受程度”“课堂上是否有思政教学案例重复使用现象”“是否需要避免思政教学案例的重复使用”“能够容忍的思政教学案例重复使用限度”等4个主题进行，调查对象为2020年9月—2022年6月期间福建农林大学交通与土木工程学院的在校研究生和4个本科教学班的学生。问卷调查结论为：案例教学方式得到学生的普遍认可，高校应明确继续采用并优化案例教学方式开展思想政治教育的方向；思政教学案例重复使用普遍存在，但可通过优化内容和创新讲授角度等增加新的学习点；思政教学案例除了考虑质量和适用性外，提高新鲜度仍是不可回避的必须解决的问题；经典型思政教学案例内容的新鲜度和有趣性有更强烈的需求，时事热点型思政教学案例短期内少量重复使用更容易被接受。为了应对高校思想政治教育教学中“超限效应”的影响，教师需要在思政教学案例的选择、教学角度和案例更新等方面下更多工夫。为此，提出建设智慧课程案例管理系统的应对策略。该系统主要包括用户管理、课表信息管理、案例信息管理、超限管理（提醒）、学生评价等功能模块，旨在帮助各类课程的任课教师更加高效地选择和管理思政教学案例。其中，案例信息管理功能可为教师提供案例的使用频率和受欢迎程度以及学生对案例的评价等方面的统计数据和报告，超限管理（提醒）功能可对案例的重复使用情况进行检测以及将上传到系统的新案例与现有的案例库进行比对，学生评价功能可为学生提供反馈案例使用情况和改进建议的专门路径。实践证明，该系统在减少“超限效应”和增强思政教育教学效果方面具有实际价值，但仍需完善，如增设监控功能、预警系统、案例新颖度的评价机制、案例推荐系统、案例共享平台等；同时，关注研究生思政教育教学与本科生的差异性以及两者的衔接与整合。为此，本研究认为除了建设智慧课程案例管理系统之外，还可以在以下方面进行实践探索。一是按专业统筹规划思政教育元素和思政教学案例，二是建设一个能够实时更新思政教育教学资源的系统，三是构建支持教师间协作和交流的机制，从而增强高校思政教育的连贯性、深度和广度。
Keyword ：
思想政治教育 思想政治教育 思政教学案例 思政教学案例 智慧课程案例管理系统 智慧课程案例管理系统 案例教学 案例教学 超限效应 超限效应 问卷调查 问卷调查 高校 高校
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| GB/T 7714 | 樊仲谋 , 危金煌 , 胡喜生 et al. 高校思想政治教育教学中“超限效应”的影响及对策研究 [J]. | 中国林业教育 , 2025 , 43 (01) : 12-18 . |
| MLA | 樊仲谋 et al. "高校思想政治教育教学中“超限效应”的影响及对策研究" . | 中国林业教育 43 . 01 (2025) : 12-18 . |
| APA | 樊仲谋 , 危金煌 , 胡喜生 , 周成军 , 阮云凯 . 高校思想政治教育教学中“超限效应”的影响及对策研究 . | 中国林业教育 , 2025 , 43 (01) , 12-18 . |
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The growing demand for urban passenger transportation, driven by economic growth and urbanization, has led to substantial emissions of CO2 and other pollutants. Although significant attention has been given to CO2 reduction, the simultaneous emission of pollutants from similar sources and the benefits of their reduction emissions strategies, both in terms of emissions and economic outcomes, remain underexplored. To address the above concerns, this study has developed an urban passenger transportation emissions system dynamics (UPTE-SD) model, to analyze the economic benefits, emission trends, and synergistic effects of CO2 and pollutant reduction under different scenarios. The results show that: (1) Economic Benefits: CO2 reduction is the primary driver of economic benefits. Among single scenarios, the Transportation structure optimization policy (TSO) scenario performs best, yielding total economic benefits of 9.11 billion RMB. In combined scenarios, the TSO + technological progress policy (TP), promotion of new energy vehicle policy (PNEV) + TSO + TP, and PNEV + TSO + road green space priority development policy (RPD) + TP (composite scenario) exhibit the highest economic benefits, reaching 13.62 billion RMB, 17.04 billion RMB, and 18.44 billion RMB, respectively; (2) CO2 and Pollutant Reduction: For CO2 reduction, TSO is most effective in single scenarios (23.89 %), followed by TSO + TP (36.33 %), PNEV+TSO + TP (41.56 %), and PNEV+TSO + RPD + TP (44.45 %) in combined scenarios. For pollutant reduction, PNEV performs best in single scenarios (29.67 %), followed by PNEV+TSO (38.49 %), PNEV+TSO + RPD (46.38 %), and PNEV+TSO + RPD + TP (49.29 %) in combined scenarios; (3) Synergistic Emission Reduction: In terms of synergistic emission reduction, the best-performing scenarios are RPD in single scenarios, RPD + TP, PNEV+TSO + TP, and PNEV+TSO + RPD + TP in combined scenarios among the recent years. The corresponding synergistic reduction coefficients are as follows: RPD (1.05), RPD + TP (0.99), PNEV+TSO + TP (0.97), and PNEV+TSO + RPD + TP (1.13).
Keyword ：
Carbon emission peak Carbon emission peak China China Collaborative emission reduction Collaborative emission reduction System dynamics System dynamics Urban passenger transportation Urban passenger transportation
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| GB/T 7714 | Weng, Dawei , Zhang, Huangfan , Wen, Xiaojuan et al. Co-benefits of carbon and pollutant emission reduction in urban transport: Sustainable pathways and economic efficiency [J]. | URBAN CLIMATE , 2025 , 60 . |
| MLA | Weng, Dawei et al. "Co-benefits of carbon and pollutant emission reduction in urban transport: Sustainable pathways and economic efficiency" . | URBAN CLIMATE 60 (2025) . |
| APA | Weng, Dawei , Zhang, Huangfan , Wen, Xiaojuan , Hu, Xisheng , Zhang, Lanyi . Co-benefits of carbon and pollutant emission reduction in urban transport: Sustainable pathways and economic efficiency . | URBAN CLIMATE , 2025 , 60 . |
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随着道路交通碳排放量的不断攀升，全球温室效应不断加剧。近年来，在工业、能源等领域，结合因素分解模型与碳排放预测模型的双模型方法已显示出其在揭示碳排放关键驱动因素和探明碳达峰路径方面的优势，但在道路交通领域的应用尚显不足。本研究利用多尺度排放清单模型获取2001年至2019年中国道路交通碳排放数据，并采用GDIM方法对影响碳排放的驱动因素（包括GDP、道路交通能源消耗量、单位能耗碳排放量、人口总量、道路交通人均碳排放量、人均GDP、单位GDP能耗和道路交通碳排放强度）进行分解。其次，设计五种逐层递进的情景，以评估不同政策组合下的减排潜力；最后，运用LEAP模型对2021—2035年中国道路交通的碳达峰情况进行情景仿真和预测。结果显示：（1）在各驱动因素中，GDP是影响交通碳排放的最主要因素，而人均GDP是抑制碳排放的关键；（2）在各情景模拟中，中经济发展强效低碳情景（SLSC）和中经济发展强化低碳情景（ELSC）展现出最佳的减排效果，预计在2024年均能实现碳达峰，其峰值碳排放量分别为1399.9Mt和1402.69Mt；在所有车型中，商用车碳排放将于2020年的744Mt增长至2035年的约800—1300Mt，相较于其他车型，其碳减排潜力巨大；（3）尽管摩托车的碳排放量在三种车型中最低，但其排放量呈上升趋势。摩托车在单独实行“摩改电”措施后无法实现碳达峰，需要未来进一步的管控措施配合其他政策同步实施才能实现碳达峰。本研究所提出的模型及方法在交通运输碳减排中具有较好的参考价值。
Keyword ：
情景分析 情景分析 碳达峰 碳达峰 道路交通 道路交通 长期能源替代规划系统(LEAP)模型 长期能源替代规划系统(LEAP)模型 驱动因素分解 驱动因素分解
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| GB/T 7714 | 王硕 , 徐艺诺 , 翁大维 et al. 中国道路交通碳排放驱动因素及达峰分析 [J]. | 生态学报 , 2025 , (03) . |
| MLA | 王硕 et al. "中国道路交通碳排放驱动因素及达峰分析" . | 生态学报 03 (2025) . |
| APA | 王硕 , 徐艺诺 , 翁大维 , 张煌帆 , 温晓娟 , 胡喜生 et al. 中国道路交通碳排放驱动因素及达峰分析 . | 生态学报 , 2025 , (03) . |
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With the rapid global expansion of e-commerce and the increasing number of online shoppers, logistics service providers (LSPs) are exploring sustainable solutions to meet the rising demand. Thanks to developments in automation and robotic technologies, LSPs have now the opportunity to enhance their operations through the deployment of autonomous delivery solutions like drones and delivery robots. This paper investigates a practical delivery system to integrate these emerging technologies simultaneously into conventional van-only delivery system. Additionally, the effects of various assistant characteristics on operations are examined through broader assumptions. We introduce a mathematical model aiming to minimize delivery makespan and explore various valid inequalities to mitigate its complexity. A new hybrid metaheuristic algorithm combining genetic algorithm and large neighborhood search algorithm is also proposed for large scale instances. A three-layer coding and encoding method is also introduced for genetic algorithm to manage the complex structure of the problem. Finally, extensive numerical experiments are conducted to show the effectiveness of valid inequalities and the algorithm. The sensitivity analyses provide comparisons of various delivery configurations and offer valuable insights for the logistics industry to integrate these innovative delivery solutions into their daily operations. In our experiments, using a single drone reduces total delivery times by up to 23.57%, while a single robot contributes to a 37.19% improvement in the objective. The heterogeneous configuration offers a substantial 49.71% improvement compared to using only vans for deliveries.
Keyword ：
Delivery robot Delivery robot Drone Drone Genetic algorithm Genetic algorithm Hybrid metaheuristic Hybrid metaheuristic Last mile logistics Last mile logistics Vehicle routing problem Vehicle routing problem
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| GB/T 7714 | Chen, Cheng , Demir, Emrah , Hu, Xisheng et al. Transforming last mile delivery with heterogeneous assistants: drones and delivery robots [J]. | JOURNAL OF HEURISTICS , 2025 , 31 (1) . |
| MLA | Chen, Cheng et al. "Transforming last mile delivery with heterogeneous assistants: drones and delivery robots" . | JOURNAL OF HEURISTICS 31 . 1 (2025) . |
| APA | Chen, Cheng , Demir, Emrah , Hu, Xisheng , Huang, Hainan . Transforming last mile delivery with heterogeneous assistants: drones and delivery robots . | JOURNAL OF HEURISTICS , 2025 , 31 (1) . |
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The conservation and restoration of forests are a crucial component of climate mitigation strategies in many countries. However, the scientific selection of priority areas for forest conservation and restoration remains a challenge. Based on the landscape indices, the forest landscape structural connectivity index was constructed based on principal component analysis; the forest landscape functional connectivity index was constructed based on the minimum cumulative resistance model. Geodetector was employed to identify the driving forces of forest landscape structural and functional connectivity in the Fujian Delta region. The patch-generating land use simulation model was then used to simulate land use changes under different shared socioeconomic pathways (SSPs) and representative concentration pathways (RCPs) scenarios from 2030 to 2050. The optimal scenario of forest development was then selected based on the forest landscape structural and functional connectivity. Finally, graph theory was used to identify priority forest conservation and restoration areas under optimal scenarios. The results indicate the following: (1) elevation (q = 0.34, P < 0.01) and nighttime light (q = 0.33, P <0.01) are the primary drivers of structural connectivity in forested landscapes, while nighttime light (q = 0.38, P < 0.01) and gross domestic product (q = 0.28, P < 0.01) are the primary drivers of functional connectivity in forested landscapes. The joint effect of elevation and nighttime lighting (q = 0.44, P < 0.01) enhances the explanatory power of structural connectivity in forested landscapes. The joint effect of nighttime lighting and gross domestic product (q = 0.46, P < 0.01) enhances the explanatory power of functional connectivity in forested landscapes. (2) Overall, between 2020 and 2050, forest landscape structural and functional connectivity tends to increase in the SSP1-2.6 scenario and decrease in the SSP2-4.5, SSP3-7.0, and SSP5-8.5 scenarios. Based on the structural and functional connectivity of the forest landscape, the optimal scenario for future development was identified as SSP1-RCP2.6. (3) The areas of forests prioritized for conservation in 2030, 2040, and 2050 are 12,470.18 km(2), 12,470.18 km(2), and 12,227.67 km(2), respectively. The areas of forests prioritized for restoration are 51.80 km(2), 103.14 km(2), and 390.86 km(2), respectively. This study identified priority forest conservation and restoration areas under SSPs-RCPs scenarios using graph theory, offering valuable insights into biodiversity conservation and the identification of locations for forest conservation and restoration planning.
Keyword ：
Forest restoration Forest restoration Fujian delta region Fujian delta region Landscape connectivity Landscape connectivity SSPs-RCPs scenarios SSPs-RCPs scenarios
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| GB/T 7714 | Liu, Miaomiao , Liu, Shuang , Tang, Raohan et al. Identification of forest priority conservation and restoration areas for different SSPs-RCPs scenarios [J]. | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2025 , 375 . |
| MLA | Liu, Miaomiao et al. "Identification of forest priority conservation and restoration areas for different SSPs-RCPs scenarios" . | JOURNAL OF ENVIRONMENTAL MANAGEMENT 375 (2025) . |
| APA | Liu, Miaomiao , Liu, Shuang , Tang, Raohan , Liu, Minggao , Hu, Xisheng , Lin, Sen et al. Identification of forest priority conservation and restoration areas for different SSPs-RCPs scenarios . | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2025 , 375 . |
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PM2.5 and O3 are major pollutants affecting air quality and posing serious health risks in China. While many studies focus on their control at urban and regional scales, their co-regulation at the street level—closely tied to traffic emissions and commuting patterns—remains unexplored. This study addressed the gap by using nonlinear statistical methods to analyze the spatiotemporal evolution of PM2.5 and O3 from street-scale mobile measurements in Fuzhou, China. A random forest (RF) model was applied to elucidate factors influencing PM2.5-O3 synchronicity. Key findings revealed that street-scale variations in PM2.5 and O3 exhibited multifractality and long-term persistence. Co-directional changes between PM2.5 and O3 peaked at noon, compared to traffic peak hours and midnight. An 800 m threshold was identified for analyzing PM2.5-O3 synchronicity—below this spatial scale, local factors weaken their concordance, while beyond it, the concordance strengthened. RF models showed that PM2.5 was primarily influenced by precursor substances in winter and meteorological conditions in summer, while O3 was consistently affected by meteorological conditions across both seasons. Road traffic and construction disrupted the co-directional changes of PM2.5 and O3, whereas high humidity partially mitigated high concentrations of both pollutants but enhanced their synchronicity. © 2025
Keyword ：
Air quality Air quality Decision trees Decision trees Health risks Health risks
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| GB/T 7714 | Lin, Xinyuan , Dong, Yangbin , Teng, Zuying et al. Spatiotemporal correlations of PM2.5 and O3 variations: A street-scale perspective on synergistic regulation [J]. | Science of the Total Environment , 2025 , 965 . |
| MLA | Lin, Xinyuan et al. "Spatiotemporal correlations of PM2.5 and O3 variations: A street-scale perspective on synergistic regulation" . | Science of the Total Environment 965 (2025) . |
| APA | Lin, Xinyuan , Dong, Yangbin , Teng, Zuying , Meng, Zhaocai , Zhang, Fuwang , Hu, Xisheng et al. Spatiotemporal correlations of PM2.5 and O3 variations: A street-scale perspective on synergistic regulation . | Science of the Total Environment , 2025 , 965 . |
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