EM-T2Traffic Injury Prevention20261-10Unraveling the spatial heterogeneity of urban traffic crashes: A GeoXGBoost and point-mapping SHAP frameworkYi Zhao, Yi Yang, Renteng Yuan, Tianhua Zhou被引 0基金安全、风险、可靠性与质量路网损毁与基础设施韧性
EM-T2Traffic Injury Prevention20261-8Machine learning and SHAP-based explainability for accident severity prediction: evidence from a strategic road network in a developing countryRodrigo Aguiar dos Santos, Álvaro Farias Pinheiro, Adelino Ferreira被引 0阅读 1开放获取安全、风险、可靠性与质量路网损毁与基础设施韧性金融风险与机器学习
EM-T2Traffic Injury Prevention20261-7The impact of crossable danger tactile ground indicators on the center of mass and reaction forces during walking of healthy sighted subjectsAntonella Tatarelli, Tiwana Varrecchia, Alessio Silvetti, Lorenzo Fiori 等 6 人被引 0物理治疗与运动康复路网损毁与基础设施韧性
EM-T2Traffic Injury Prevention20261-10Optimal fire station location for expressways integrating dynamic traffic accessibility and spatially heterogeneous fire riskYao Huang, Fubin Liu, Liuyuan Xiong, Dingli Liu 等 5 人被引 0组织行为与人力资源管理路网损毁与基础设施韧性
EM-T2Traffic Injury Prevention20261-9Network-constrained spatio-temporal analysis and predictive modeling of road traffic accident hotspots for enhanced urban safety: a case study of Faisalabad, PakistanAbdullah Munif, Shoaib Khalid, Fariha Zameer, Syed Ali Asad Naqvi被引 0安全、风险、可靠性与质量路网损毁与基础设施韧性应急治理与韧性政策
