Query：
学者姓名：胡喜生
Refining：
Year
Type
Indexed by
Source
Complex
Co-Author
Language
Clean All
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
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
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
Cite：
Copy from the list or Export to your reference management。
| 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 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
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
Cite：
Copy from the list or Export to your reference management。
| 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) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
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
Cite：
Copy from the list or Export to your reference management。
| 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) . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Despite extensive research on the role of roadside greenery in traffic pollution mitigation, its effectiveness remains debated due to limited understanding of pollutant dispersion and deposition near green barriers. This study addresses the gap by combining field measurements of PM2.5, PM10, and black carbon (BC) along an open-flanked urban arterial road with ENVI-met simulations integrating dynamic traffic emissions to evaluate the impact of greening arrangements on particle dynamics under varying wind conditions. Measurement results reveal distance-dependent particulate attenuation within 10 m of roadways, with BC showing the highest greenbelt-induced reduction (15.5-30.5 %), surpassing PM2.5 and PM10 (0.5-5.5 %). Poor roadside ventilation exacerbates pedestrian-level accumulation under complex vegetation. Numerical modeling further confirms that only multi-layered tree arrangements-optimized for spacing, leaf area index, and crown shape to suit local conditions-optimize sidewalk particle reduction through enhanced dispersion-deposition synergy despite size-dependent deposition hierarchy (PM10 > BC > PM2.5). Narrow-spaced plantings (3 m) with spherical canopies maximize turbulent deposition, while excessive leaf area index induces stagnation. Perpendicular winds drive velocity-dependent deposition, with BC exhibiting greatest wind-speed sensitivity above 3 m/s. PM10 deposits fastest, whereas near-stagnant conditions (0.05 m/s) promote PM2.5 accumulation at BC-comparable rates. Moderate winds (1-3 m/s) optimize phytofiltration by balancing capture and retention. The results establish that strategically designed multi-layered vegetation, tailored to local aerodynamic conditions and tree morphology, effectively reduces pedestrian exposure to traffic particulates, informing urban green infrastructure policies.
Keyword ：
Deposition Deposition Dispersion Dispersion Road greenbelt Road greenbelt Spatial variation Spatial variation Traffic particulate matter Traffic particulate matter
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Wang, Zhanyong , Rao, Yanying , Lin, Xinyuan et al. Greenery strategies for reducing pedestrian particulate exposure along an open-flanked urban arterial road [J]. | URBAN CLIMATE , 2025 , 62 . |
| MLA | Wang, Zhanyong et al. "Greenery strategies for reducing pedestrian particulate exposure along an open-flanked urban arterial road" . | URBAN CLIMATE 62 (2025) . |
| APA | Wang, Zhanyong , Rao, Yanying , Lin, Xinyuan , Chen, Shuting , Hu, Xisheng . Greenery strategies for reducing pedestrian particulate exposure along an open-flanked urban arterial road . | URBAN CLIMATE , 2025 , 62 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
以福建省沿海地区为对象,基于2010年和2020年Landsat遥感数据及道路数据,采用核密度估算、剖面线分析、空间自相关及地理加权回归（GWR）模型,分析道路网络扩展对植被覆盖变化的影响。结果表明:（1）沿海地区核密度整体提高,福州、厦门和泉州等核心城区最为明显;（2）NDVI
Keyword ：
交通工程 交通工程 双变量空间自相关 双变量空间自相关 地理加权回归 地理加权回归 归一化植被指数 归一化植被指数 道路核密度 道路核密度
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 叶丽敏 , 胡喜生 , 邹泽耀 et al. 植被恢复动态对道路网络的多尺度动态响应 [J]. | 公路 , 2025 , (08) : 361-373 . |
| MLA | 叶丽敏 et al. "植被恢复动态对道路网络的多尺度动态响应" . | 公路 08 (2025) : 361-373 . |
| APA | 叶丽敏 , 胡喜生 , 邹泽耀 , 陈瑾 . 植被恢复动态对道路网络的多尺度动态响应 . | 公路 , 2025 , (08) , 361-373 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
The rapid urban sprawl and economic prosperity in the Guangdong-Hong Kong-Macao Greater Bay Area (GBA) have propelled road transportation to become a prominent contributor to regional carbon emissions. Road traportation-related carbon emissions are primarily generated by the large number of motor vehicles in operation. In this research, a bottom-up methodology was adopted to assess road transportation-related carbon emissions in key urban agglomeration within the GBA region (KUA-GBA). The Logarithmic Mean Divisia Index (LMDI) model was applied to break down these emissions into four main components: energy efficiency, economic growth, population scale, and intensity of energy consumption. Furthermore, this study utilized the Longrange Energy Alternatives Planning (LEAP) model along with pertinent policy scenarios to project and evaluate the potential reduction in road transportation carbon emissions in the KUA-GBA region from 2023 to 2035. The findings indicate that: firstly, regarding the contribution rate of carbon emissions by vehicle type, SGPVs, HDFVs, and LGFVs are the primary contributors to transportation-related carbon emissions in the KUA-GBA region, accounting for 48.7 %, 24.2 %, and 13.9 % of total vehicle carbon emissions, respectively. Secondly, from the perspective of driving factors for carbon emissions, the energy intensity effect is the most significant driver of transportation-related carbon emissions. Between 2018 and 2022, this factor alone contributed over 1907 kt of carbon emissions. Finally, in terms of carbon emission reduction pathways, improving vehicle fuel economy holds the greatest potential for emission reductions, with a projected carbon reduction contribution rate of approximately 68 % by 2035. Additionally, combining measures such as optimizing vehicle structure, enhancing vehicle energy efficiency, and reducing annual mileage can achieve optimal carbon emission reductions. The findings from this analysis can offer more precise recommendations for reducing carbon emissions in the transportation sectors of the KUA-GBA region, thus aiding in the earlier attainment of the dual-carbon objectives.
Keyword ：
Carbon emissions Carbon emissions Emission trends Emission trends Road transportation Road transportation Scenario simulation Scenario simulation Spatiotemporal characteristics Spatiotemporal characteristics
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Xu, Yinuo , Zhang, Huangfan , Weng, Dawei et al. An integrated assessment of road transportation carbon emissions in a rapidly urbanizing megaregion: Evidence from the KUA-GBA, China [J]. | JOURNAL OF CLEANER PRODUCTION , 2025 , 525 . |
| MLA | Xu, Yinuo et al. "An integrated assessment of road transportation carbon emissions in a rapidly urbanizing megaregion: Evidence from the KUA-GBA, China" . | JOURNAL OF CLEANER PRODUCTION 525 (2025) . |
| APA | Xu, Yinuo , Zhang, Huangfan , Weng, Dawei , Wen, Xiaojuan , Wang, Shuo , Xie, Zhengyi et al. An integrated assessment of road transportation carbon emissions in a rapidly urbanizing megaregion: Evidence from the KUA-GBA, China . | JOURNAL OF CLEANER PRODUCTION , 2025 , 525 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
Forest ecosystems are essential for mitigating global environmental change. However, the impact of the rapid global urbanization process on forest carbon sequestration remains unclear. Hence, we calculated the foresturban carbon balance index (CBI) from 1985 to 2020 at multiple scales (continental, national, and climatic). We applied eXtreme Gradient Boosting (XGBoost) combined with SHapley Additive exPlanations (SHAP) to identify key driving factors across regions and used multiscale geographically weighted regression (MGWR) to uncover spatial inequalities in their effects on carbon balance. Results revealed that: (1) CBI increased from 0.77 to 3.02 g C/m2/y- 1 during 1985-2020, while forest carbon flux decreased from -3.55 to -7.68 g C/m2/y- 1. Urbanization carbon loss was 1.90 times that of forest carbon loss, with high values concentrated in eastern China and northern India. (2) CBI hotspots were identified in the Amazon, the Congo Basin, and Southeast Asia, while cold spots were found in the boreal forests of Canada and Russia. (3) XGBoost-SHAP analysis revealed that temperature and precipitation were key influences in regions such as the Amazon and Sub-Saharan Africa, whereas population density was a dominant factor in the southwestern United States and eastern Australia. (4) MGWR analysis identified slope, temperature, precipitation, road density, and human footprint as synergistic drivers, while elevation, accessibility to cities, and GDP had trade-off effects. These drivers displayed spatial heterogeneity, with varying bandwidth impacts. Our findings enhance understanding of global forest-urban carbon dynamics and highlight regional development inequalities, supporting efforts in reforestation and urban planning for sustainable carbon management.
Keyword ：
Forest carbon loss Forest carbon loss Forest carbon sequestration Forest carbon sequestration (MGWR) (MGWR) Multiscale geographically weighted regression Multiscale geographically weighted regression SHapley additive exPlanations (SHAP) SHapley additive exPlanations (SHAP) Urbanization carbon loss Urbanization carbon loss
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | Qiu, Weiguo , Guo, Rongpeng , Jia, Dingyi et al. Spatio-temporal dynamics of global forest-urban carbon balance and its driving patterns during 1985-2020 [J]. | JOURNAL OF CLEANER PRODUCTION , 2025 , 519 . |
| MLA | Qiu, Weiguo et al. "Spatio-temporal dynamics of global forest-urban carbon balance and its driving patterns during 1985-2020" . | JOURNAL OF CLEANER PRODUCTION 519 (2025) . |
| APA | Qiu, Weiguo , Guo, Rongpeng , Jia, Dingyi , Wu, Min , Wang, Zhanyong , Zhang, Lanyi et al. Spatio-temporal dynamics of global forest-urban carbon balance and its driving patterns during 1985-2020 . | JOURNAL OF CLEANER PRODUCTION , 2025 , 519 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
本研究分析了闽江福州段河岸带20种优势草本植物根茎叶和根际土壤的Cd、Cr、Cu、Ni、Pb和Zn含量，评估了该区域土壤重金属污染状况以及植物的重金属富集能力，并比较了植物不同器官对重金属富集和转运的差异。结果显示：（1）研究区域土壤除Pb含量低于背景值，其余元素均超背景值1.05～1.5倍，Cd是主要危害元素；（2）20种植物对Cd和Cu的富集能力较强，对Pb的富集能力最弱；（3）根和叶对重金属的富集能力强于茎，叶对重金属的转运能力强于茎；（4）白花鬼针草（Bidens pilosa L.）、紫茎泽兰（Ageratina adenophora R. M. King&H. Robinson）和龙葵（Solanum nigrum L.）的重金属综合富集能力排名前三，重金属生物富集系数分别为0.686、0.662和0.470，而苍耳（Xanthium strumarium L.）对土壤重金属的规避性较强。
Keyword ：
土壤 土壤 河岸带 河岸带 草本植物 草本植物 重金属富集 重金属富集 重金属迁移 重金属迁移 闽江 闽江
Cite：
Copy from the list or Export to your reference management。
| GB/T 7714 | 关永鑫 , 胡喜生 , 闫淑君 et al. 闽江福州段河岸带土壤-植物系统重金属迁移富集研究 [J]. | 植物科学学报 , 2025 , 43 (01) : 111-121 . |
| MLA | 关永鑫 et al. "闽江福州段河岸带土壤-植物系统重金属迁移富集研究" . | 植物科学学报 43 . 01 (2025) : 111-121 . |
| APA | 关永鑫 , 胡喜生 , 闫淑君 , 黄子宏 , 凌玲 , 孙玉婷 et al. 闽江福州段河岸带土壤-植物系统重金属迁移富集研究 . | 植物科学学报 , 2025 , 43 (01) , 111-121 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Abstract ：
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。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
Cite：
Copy from the list or Export to your reference management。
| 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碳达峰 [J]. | 生态学报 , 2025 , 45 (03) : 1315-1327 . |
| MLA | 王硕 et al. "中国道路交通碳排放驱动因素及碳达峰" . | 生态学报 45 . 03 (2025) : 1315-1327 . |
| 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碳达峰 . | 生态学报 , 2025 , 45 (03) , 1315-1327 . |
| Export to | NoteExpress RIS BibTex |
Version ：
Export
| Results： |
Selected to |
| Format： |
