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学者姓名：王占永
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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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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
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| 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 . |
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选取福州市西三环快速路北段为实验路段，利用搭载微型环境传感器的无人机观测平台，实地收集路侧绿带后100 m高度范围内PM
Keyword ：
垂直变化 垂直变化 城市道路 城市道路 无人机监测 无人机监测 植被密度 植被密度 空气污染 空气污染
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| GB/T 7714 | 安兴 , 董阳斌 , 肖亚熙 et al. 路侧植被对道路交通颗粒物垂直分布的影响研究 [J]. | 交通节能与环保 , 2025 , 21 (02) : 111-118 . |
| MLA | 安兴 et al. "路侧植被对道路交通颗粒物垂直分布的影响研究" . | 交通节能与环保 21 . 02 (2025) : 111-118 . |
| APA | 安兴 , 董阳斌 , 肖亚熙 , 曹如晖 , 周婷 , 郑怡灵 et al. 路侧植被对道路交通颗粒物垂直分布的影响研究 . | 交通节能与环保 , 2025 , 21 (02) , 111-118 . |
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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
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| 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 . |
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To capture energy-emissions dynamics and provide spatiotemporally differentiated low-carbon benchmarks for urban bus governance, this study integrates grid-specific power and emission factors into a super-efficiency Slack-Based Measure model, assessing energy consumption and emissions under tech-policy interactions using 2014-2023 bus fleet data from Fuzhou, China. Key findings reveal: (1) A decade of electrification initiative cut bus energy use and emissions by 45-82%, with a 2018 policy shift accelerating progress. Yet rising non-tailpipe PM2.5 and stagnant SO2 levels reveal limits of unilateral electrification strategies. (2) Annual carbon emission efficiency declined-particularly after 2016-due to subsidy-induced fleet overexpansion, despite temporary improvements from 2018 policy adjustments. These findings highlight non-linear decarbonization pathways and the necessity of capped incentives and demand-aligned planning to ensure sustainable efficiency gains. (3) Route-level carbon emission efficiency varied spatially and exhibited ridership and route-service dependence, demonstrating that passenger-normalized metrics better reflect operator-level decarbonization performance than aggregate benchmarks.
Keyword ：
Bus electrification Bus electrification Carbon reduction efficiency Carbon reduction efficiency Energy consumption Energy consumption Pollutant emission Pollutant emission
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| GB/T 7714 | Xiao, Yaxi , Dong, Yangbin , Xue, Rui et al. Tech-policy integrated validation of spatiotemporal energy-emissions efficiency in public bus systems [J]. | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT , 2025 , 147 . |
| MLA | Xiao, Yaxi et al. "Tech-policy integrated validation of spatiotemporal energy-emissions efficiency in public bus systems" . | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT 147 (2025) . |
| APA | Xiao, Yaxi , Dong, Yangbin , Xue, Rui , Meng, Zhaocai , Li, Bai , Hu, Yonghui et al. Tech-policy integrated validation of spatiotemporal energy-emissions efficiency in public bus systems . | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT , 2025 , 147 . |
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Balancing socio-economic development with ecological protection amid rapid urbanization is a pressing global issue. The ecological security pattern (ESP) follows the reciprocal relationship between pattern and function to conserve ecological processes, providing an effective approach to address this problem. However, most studies have adopted a single subjective assignment method for resistance factors, lacking the exploration of the impact of various assignment methods on the ESP. Taking the Fuzhou metropolitan area as a case, this study proposes different resistance assignment methods: favorable, moderate, and unfavorable. By applying circuit theory, it constructs the ESP and identifies critical areas for protection and restoration. The findings show that (1) as the cumulative resistance threshold increases, the area of ecological corridors expands from 171.36 km2 to 1439.24 km2, with the moderate method identified as the optimal resistance assignment approach; (2) significant differences exist in the identification of key corridors under different resistance assignment methods. The moderate method identifies 26 key corridors, spanning a total length of 41.29 km; (3) the key ecological protection areas cover 2469.79 km2, including 13 patches and 26 pinch points, while the key ecological restoration areas cover 14.55 km2, including 7 barriers and 21 breaking points. By pinpointing key ecological areas and proposing targeted strategies, this study can facilitate practical ecological protection efforts, thereby achieving the sustainable development goal of minimizing economic costs while maximizing ecological benefits.
Keyword ：
circuit theory circuit theory ecological security pattern ecological security pattern key ecological protection areas key ecological protection areas key ecological restoration areas key ecological restoration areas resistance assignment methods resistance assignment methods
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| GB/T 7714 | Jia, Dingyi , Qiu, Weiguo , Guo, Rongpeng et al. Prioritizing Protection and Restoration Areas Based on Ecological Security Pattern with Different Resistance Assignments [J]. | LAND , 2025 , 14 (2) . |
| MLA | Jia, Dingyi et al. "Prioritizing Protection and Restoration Areas Based on Ecological Security Pattern with Different Resistance Assignments" . | LAND 14 . 2 (2025) . |
| APA | Jia, Dingyi , Qiu, Weiguo , Guo, Rongpeng , Wu, Min , Wang, Zhanyong , Hu, Xisheng . Prioritizing Protection and Restoration Areas Based on Ecological Security Pattern with Different Resistance Assignments . | LAND , 2025 , 14 (2) . |
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Elevated roads heighten traffic emissions and alter airflow patterns, posing unresolved questions regarding their impact on roadside air pollution compared to flat roads. This study utilized dronebased monitoring and machine learning to analyze vertical traffic pollution levels to inform elevated road design. Results revealed that roads elevated about 8 m above ground significantly raised black carbon (BC) levels, strongly associated with diesel vehicle emissions, at heights of 20-40 m. Under-bridge closures caused notable changes in all particle types, including PM2.5 and PM1.0, up to heights of 60 m. Elevated traffic emissions also intensified ozone (O3) vertical gradients. The resilient random forest model further found strong correlations between particle vertical structures and boundary layer height, alongside significant relationships with local temperature, humidity, and solar radiation. Pollution mechanisms varied within 0-20 m compared to higher elevations, particularly extending to 40 m for BC near the closed under-bridge road, suggesting the necessity for tailored control measures.
Keyword ：
Elevated road Elevated road Machine learning Machine learning Traffic pollutants Traffic pollutants Unmanned aerial vehicle monitoring Unmanned aerial vehicle monitoring Vertical distribution Vertical distribution
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| GB/T 7714 | Cao, Ruhui , Liu, Kaixuan , Xu, Jiamin et al. Mitigating traffic pollution alongside elevated roads: Insights into vertical emission transmissions [J]. | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT , 2025 , 148 . |
| MLA | Cao, Ruhui et al. "Mitigating traffic pollution alongside elevated roads: Insights into vertical emission transmissions" . | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT 148 (2025) . |
| APA | Cao, Ruhui , Liu, Kaixuan , Xu, Jiamin , Wang, Zhanyong , Zhang, Fuwang , He, Hong-di et al. Mitigating traffic pollution alongside elevated roads: Insights into vertical emission transmissions . | TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT , 2025 , 148 . |
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为指导炎热天气下骑行者健康出行，以福州市西三环快速路沿侧慢行道为试验靶区，构建基于微型传感器的骑行测量平台，采集骑行者心率（HR）以及骑行路线上PM
Keyword ：
去趋势互相关分析(DCCA) 去趋势互相关分析(DCCA) 慢行道 慢行道 相对危险度(RR) 相对危险度(RR) 空间分布 空间分布 颗粒物 颗粒物 骑行者心率(HR) 骑行者心率(HR)
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| GB/T 7714 | 林鑫源 , 刘凯烜 , 安兴 et al. 慢行道骑行者心率的空间分布及变化特征解析 [J]. | 中国安全科学学报 , 2025 , 35 (02) : 186-195 . |
| MLA | 林鑫源 et al. "慢行道骑行者心率的空间分布及变化特征解析" . | 中国安全科学学报 35 . 02 (2025) : 186-195 . |
| APA | 林鑫源 , 刘凯烜 , 安兴 , 胡喜生 , 徐锦强 , 王占永 . 慢行道骑行者心率的空间分布及变化特征解析 . | 中国安全科学学报 , 2025 , 35 (02) , 186-195 . |
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The expansion of road networks profoundly affects ecological systems by intensifying habitat fragmentation, altering hydrological processes, and exacerbating pollution. However, our understanding of the multi-scale spatiotemporal coupling between road networks and ecological quality remains limited. Thus, taking Fuzhou City in Southeastern China as a case study (similar to 12,000 km(2)), we apply bivariate spatial autocorrelation, geographical detectors (GDs), and multi-scale geographically weighted regression (MGWR) to explore the multi-scale interactions between road networks and ecological quality. Results reveal the following: (1) From 2016 to 2021, kernel density estimation (KDE) analysis of the road network indicates coordinated growth in both urban and rural areas, with an increase of 0.759 km/km(2). Analysis based on the remote sensing-based ecological index (RSEI) shows a decrease from 2000 to 2016, and then an increase from 2016 to 2021, with a trend of increasing gradually from urban center to rural area. (2) Predominant tradeoff relationships exist between KDE and RSEI in 2016 and 2021, while notable synergistic relationships emerge between Delta KDE and Delta RSEI. (3) Multi-scale GD analysis identifies Delta KDE as a principal factor influencing Delta RSEI, and the MGWR reveals their significant synergistic associations at an optimal scale of 3000 m. These findings highlight the unequal impact of road network expansion on ecological quality, underscoring the pivotal role of road density changes in its spatiotemporal dynamics. They offer essential insights for sustainable transport and ecological planning.
Keyword ：
bivariate spatial autocorrelation bivariate spatial autocorrelation geographical detectors (GDs) geographical detectors (GDs) multi-scale geographically weighted regression (MGWR) multi-scale geographically weighted regression (MGWR) remote sensing-based ecological index (RSEI) remote sensing-based ecological index (RSEI) road network road network
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| GB/T 7714 | Qiu, Weiguo , Jia, Dingyi , Guo, Rongpeng et al. Unequal Impact of Road Expansion on Regional Ecological Quality [J]. | LAND , 2025 , 14 (3) . |
| MLA | Qiu, Weiguo et al. "Unequal Impact of Road Expansion on Regional Ecological Quality" . | LAND 14 . 3 (2025) . |
| APA | Qiu, Weiguo , Jia, Dingyi , Guo, Rongpeng , Zhang, Lanyi , Wang, Zhanyong , Hu, Xisheng . Unequal Impact of Road Expansion on Regional Ecological Quality . | LAND , 2025 , 14 (3) . |
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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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