代表性论文：

1.  Sun Z, Wang D, Wang J*, et al. Influence factors on travel mode preference of working residents living far away from downtown area on workdays: A hybrid method integrating random parameter logit model and Apriori algorithm[J]. Transportation Research Part A: Policy and Practice, 2024, 190: 104275.（SCI/SSCI/中科院Top期刊，通讯作者）

2. Sun Z, Xing Y, Wang J*, et al. Exploring injury severity of vulnerable road user involved crashes across seasons: A hybrid method integrating random parameter logit model and Bayesian network[J]. Safety science, 2022, 150: 105682.（SCI/中科院Top期刊，通讯作者）

3. Sun Z, Xing Y, Wang J*, et al. Exploring injury severity of bicycle-motor vehicle crashes: A two-stage approach integrating latent class analysis and random parameter logit model[J]. Journal of Transportation Safety & Security, 2022, 14(11): 1838-1864. (SSCI期刊，通讯作者）

4. 王健宇,陈献天,焦朋朋,等. 考虑建成环境的交通事故严重程度致因交互效应研究[J].交通运输系统工程与信息, 2024, 24(2):272-280. (EI/中文核心期刊，公路运输领域T1级期刊，第一作者)

5. 王健宇, 程家乐, 陈献天,等. 建成环境对交通安全的影响及优化策略[J]. 规划师，2023(9): 47-55. (CSSCI/北大核心期刊，建筑科学领域T2级期刊，第一作者)

6. 王健宇, 陆化普, 孙智源,等. 基于MNL模型的车车碰撞事故严重程度影响因素辨识方法. 公路交通科技, 2021, 38(10): 107-113. (中文核心期刊，公路运输领域T1级期刊，第一作者)

7. Wang Z, Jiao P, Wang J, et al. The level of delay caused by crashes (LDC) in metropolitan and non-metropolitan areas: a comparative analysis of improved Random Forests and LightGBM[J]. International journal of crashworthiness, 2023, 28(6): 839-854. (SCI期刊）

8. Wang Z, Jiao P, Wang J, et al. Improved two-layer stacking model for prediction of the level of delay caused by crashes: an empirical analysis of Texas[J]. Journal of transportation engineering, Part A: Systems, 2023, 149(2): 05022008. (SCI期刊）

9. Wang Z, Jiao P, Wang J, et al. Contributing factors on the level of delay caused by crashes: A hybrid method of latent class analysis and XGBoost based SHAP algorithm[J]. Journal of Transportation Safety & Security, 2024, 16(2): 97-129. (SSCI期刊）

专利：

1. 王健宇，陈献天，董悦，孙煦，罗薇等. 一种考虑样本不平衡性的交通事故致因耦合作用分析方法. ZL 2024 1 0711803.1

2. 孙煦，林坤，姬岚欣，王健宇，孙奥等. 公交专用道优化设计方法、装置、设备及其存储介质. ZL 2023 1 1273650.9