麻豆AV无码精品一区二区

教育背景

博士，都市社会工学（城市社会工程），日本京都大学，2017-2020

硕士，都市社会工学（城市社会工程），日本京都大学，2014-2016

学士，交通运输工程，同济大学，2009-2013

工作经历

特聘教授，麻豆AV无码精品一区二区，2024至今

研究员，智能交通系统（滨罢厂）实验室，日本京都大学，2020-2024

访问学者，交通地理信息（迟骋滨厂）实验室，西班牙马德里康普顿斯大学，2022

访问学者，交通与物流研究所（滨罢尝厂），澳大利亚悉尼大学管理学院，2018

研究助理，都市社会工学，日本京都大学，2016-2017

科研项目

2024.04-2026.12  核心参与  国家自然科学基金国际合作与交流项目（52411540030）

2021.04-2024.03  共同主持  日本科学技术振兴机构（JST）国际战略合作项目（JPMJSC20C4）

2021.04-2024.03  参与      日本国土交通部综合研究院“新道路”科研项目

2018.08-2019.02  主持      京都市未来交通系统创新工程项目

2017.08-2018.02  参与      京都市未来交通系统创新工程项目

国际期刊论文（下划线为本人，星号为本人通讯作者）

[1]       Lu, Q. L., Sun, W.^*, Lyu, C., Schm?cker, J. D., & Antoniou, C. (2025). Post-disruption lane reversal optimization with surrogate modeling to improve urban traffic resilience. Transportation Research Part B: Methodological, 197, 103237.

[2]       Dai, J., Sun, W.^*, Lu, Q. L., Schm?cker, J. D., & Antoniou, C. (2025). Railway-station-area vitality in response to COVID-19: A case study of diverse Japanese cities. Cities, 162, 105970.

[3]       Zhou, Y., Sun, W.^*, & Schm?cker, J. D. (2024). Transit fares integrating alternative modes as a delay insurance. Transportation Research Part C: Emerging Technologies, 104745. (Accepted for presentation at the 25th International Symposium on Transportation and Traffic Theory, ISTTT25)

[4]       Santiago-Iglesias, E., Romanillos, G., Carpio-Pinedo, J., Sun, W., & García-Palomares, J. C. (2024). Recovering urban nightlife: COVID-19 insights from Google Places activity trends in Madrid. Journal of Maps, 20(1), 2371927.

[5]       Santiago-Iglesias, E., Romanillos, G., Sun, W., Schm?cker, J. D., Moya-Gómez, B., & García-Palomares, J. C. (2024). Light in the darkness: Urban nightlife, analyzing the impact and recovery of COVID-19 using mobile phone data. Cities, 153, 105276.

[6]       Lu, Q. L., Sun, W.^*, Dai, J., Schm?cker, J. D., & Antoniou, C. (2024). Traffic resilience quantification based on macroscopic fundamental diagrams and analysis using topological attributes. Reliability Engineering & System Safety, 247, 110095.

[7]       Nozawa, K., Sun, W., Schmoecker, J. D., & Nakao, S. (2024). The Impact of COVID-19 Policies on Nightlife in Kyoto. Findings.

[8]       Ma, Y., Schm?cker, J. D., Sun, W.^*, & Nakao, S. (2024). Unravelling route choices of large trucks using trajectory clustering and conditional Logit models. International Journal of Transportation Science and Technology.

[9]       Dai, J., Schm?cker, J. D., & Sun, W. (2024). Analyzing demand reduction and recovery of major rail stations in Japan during COVID-19 using mobile spatial statistics. Asian Transport Studies, 10, 100120.

[10]     Sun, W.^*, Kobayashi, H., Nakao, S., & Schm?cker, J. D. (2023). On the Relationship Between Crowdsourced Sentiments and Mobility Trends During COVID-19: A Case Study of Kyoto. Data Science for Transportation, 5(3), 17.

[11]     Santiago-Iglesias, E., Schm?cker, J. D., Carpio-Pinedo, J., García-Palomares, J. C., & Sun, W. (2023). Activity Reduction as Resilience Indicator: Evidence with Filomena Data. Findings.

[12]     Jee, H., Sun, W.^*, Schm?cker, J. D., & Nakamura, T. (2023). Demonstrating the feasibility of using Wi-Fi sensors for dynamic bus-stop queue length estimation. Public Transport, 1-18.

[13]     Santiago-Iglesias, E., Carpio-Pinedo, J., Sun, W., & García-Palomares, J. C. (2023). Frozen city: Analysing the disruption and resilience of urban activities during a heavy snowfall event using Google Popular Times. Urban Climate, 51, 101644.

[14]     Vongvanich, T., Sun, W.^*, & Schm?cker, J. D. (2023). Explaining and Predicting Station Demand Patterns Using Google Popular Times Data. Data Science for Transportation, 5(2), 10.

[15]     Fei, F., Sun, W.^*, Iacobucci, R., & Schm?cker, J. D. (2023). Exploring the profitability of using electric bus fleets for transport and power grid services. Transportation Research Part C: Emerging Technologies, 149, 104060.

[16]     Lai, Y., Sun, W., Schm?cker, J.D., Fukuda, K. & Axhausen, K.W. (2022). Explaining a century of Swiss regional development by deep learning and SHAP values. Environment and Planning B: Urban Analytics and City Science, 1-16.

[17]     Shen, K., Schm?cker, J.D., Sun, W. & Qureshi, A.G. (2022). Calibration of sightseeing tour choices considering multiple decision criteria with diminishing reward. Transportation, 1-25.

[18]     Sun, W.^*, Schm?cker, J.D., & Nakao, S. (2022). Restrictive and stimulative impacts of COVID-19 policies on activity trends: A case study of Kyoto. Transportation Research Interdisciplinary Perspectives, 13, 100551.

[19]     Sun, W.^*, Schm?cker, J.D., & Fukuda, K. (2021). Estimating the route-level passenger demand profile from bus dwell times. Transportation Research Part C: Emerging Technologies, 130, 103273.

[20]     Sun, W., Schm?cker, J.D., & Nakamura, T. (2021). On the tradeoff between sensitivity and specificity in bus bunching prediction. Journal of Intelligent Transportation Systems, 25(4), 384-400.

[21]     Sun, W., & Schm?cker, J.D. (2018). Considering passenger choices and overtaking in the bus bunching problem. Transportmetrica B: Transport Dynamics, 6(2), 151-168.

[22]     Schm?cker, J.D., Sun, W., Fonzone, A., & Liu, R. (2016). Bus bunching along a corridor served by two lines. Transportation Research Part B: Methodological, 93, 300-317.

参编英文专着（下划线为本人）

[1]        Lu, Q. L., Dai, J., Sun, W., Schm?cker, J. D., & Antoniou, C. (2025). Framework for evaluating urban resilience to pandemics: analysis of transport-related containment policies. In Research Handbook on Transport and COVID-19 (pp. 411-432). Edited by Junyi Zhang, Ying Jiang, and Yoshitsugu Hayashi. Edward Elgar.

[2]        Sun, W., Schm?cker, J.D., Lai, Y., & Fukuda, K. (2023). The potential of explainable deep learning for public transport planning. In The Handbook on Artificial Intelligence and Transport (pp. 155-175). Edited by Hussein Dia. Edward Elgar.

[3]        Sun, W., & Schm?cker, J.D. (2021). Demand estimation for public transport network planning. In The Routledge Handbook of Public Transport (pp. 289-305). Edited by Corinne Mulley, John D. Nelson, Stephen Ison. Routledge. 

期刊审稿人

[1]Applied Geography, Elsevier

[2]Case Studies on Transport Policy, Elsevier

[3]Computers & Industrial Engineering, Elsevier

[4]IEEE Open Journal of Intelligent Transportation Systems, IEEE

[5]IEEE Transactions on Intelligent Transportation Systems, IEEE

[6]IET Intelligent Transport Systems, Wiley

[7]Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, Taylor & Francis

[8]Public Transport, Springer Nature

[9]Scientific Data, Nature

[10]Sustainable Cities and Society, Elsevier

[11]Transportation, Springer Nature

[12]Transportation Research Interdisciplinary Perspectives, Elsevier

[13]Transportation Research Part A: Policy and Practice, Elsevier

[14]Transportation Research Part B: Methodological, Elsevier

[15]Transportation Research Part C: Emerging Technologies, Elsevier

[16]Transportation Research Part F: Traffic Psychology and Behaviour, Elsevier

[17]Transportmetrica B: Transport Dynamics, Taylor & Francis

东亚运输协会（Eastern Asia Society for Transportation Studies，EASTS）会员

日本土木学会（Japan Society of Civil Engineers，JSCE）会员

人才计划

2023.11，上海领军人才（海外）

科研获奖

2023.10，欧洲交通学会（Euro Working Group on Transportation，EWGT），EWGT 2023会议最佳论文奖，第二完成人、通讯作者（第一完成人为指导学生）

2023.09，东亚交通研究学会（Eastern Asia Society for Transportation Studies，EASTS），EASTS 2023会议最佳青年墙报奖，第二完成人、通讯作者（第一完成人为指导学生）

2016.02，京都大学都市社会工学最佳硕士论文

2016.02，京都大学都市社会工学荣誉工程师奖

其他

2020.09，京都大学工学研究科毕业生代表

2018.04-2020.03，乐天财团奖学金