发表论文
部分一作/通讯论文如下，详见谷歌学术主页https://scholar.google.com/citations?user=Mig2gXIAAAAJ&hl=zh-CN：
[1] Zhang, C., Li, W., Shou, J., Ma, H., Xiang, J., Skitmore, M., ... & Yao, W*. (2026). Exploring Bus Service Demand in Emerging Business Formats: A Text Mining Analysis. Transport Policy, 104010.
[2] Yao, W*., Shen, X., He, Z., Liu, Y., Yang, X., Zeng, J., ... & Jin, S. (2025). Unlocking the potential of cooperative staggered shifts in urban networks. Transportation Research Part C: Emerging Technologies, 180, 105354.
[3] Yin, Y., Xu, W., Yu, G., Jin, S., & Yao, W*. (2025). Examining public pre-acceptance of license plate restriction policy cancellation using structural equation modeling: Evidence from Hangzhou. Transport Policy, 103817.
[4] Zhang, C., Ma, H., Jin, X., Pan, D., Skitmore, M., Liu, X., & Yao, W*. (2025). The implementation effectiveness of Transit Metropolis policy: A case study of information intervention experiments. Transportation Research Part A: Policy and Practice, 200, 104644.
[5] Zhang, C., Liu, H., Pan, D., Zheng, L., Skitmore, M., Xia, P., ... Yao, W* & Xiao, G. (2025). Modeling and application of the competition and cooperation relationship between online ride-hailing and subways. Cities, 166, 106230.
[6] Zhang, C., Wu, S., Huang, M., Skitmore, M., Yao, W*., & Lu, X. (2025). Do carbon emissions trading pilot policies contribute to urban green transportation development?. Transportation Research Part D: Transport and Environment, 140, 104654.
[7] Yao, W., Yu, J., Yang, Y., Chen, N., Jin, S., Hu, Y., & Bai, C. (2022). Understanding travel behavior adjustment under COVID-19. Communications in Transportation Research, 2, 100068.
[8] Yao, W., Zhang, M., Jin, S., & Ma, D. (2021). Understanding vehicles commuting pattern based on license plate recognition data. Transportation Research Part C: Emerging Technologies, 128, 103142.
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专利情况
[1] 姚文彬, 丁宇豪, 徐方明, 刘李, 熊雄, 金盛. 一种基于交通大数据的路径诱导方法, 2021, ZL201910178230.X.
[2] 金盛, 姚文彬, 胡佑薇. 一种基于车牌识别数据的通勤模式车辆识别方法, 2021, ZL202010201546.9.
[3] 金盛, 陈诺, 杨颖, 李博林, 姚文彬.一种融合交通事件影响的短时交通流参数预测方法, 2024, ZL202111167006.4.
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