周檬

教师简介

周檬，博士，副教授，硕士生导师，中山大学“百人计划”引进人才。

2024.04 - 至今, 中山大学，智能工程学院，副教授

2021.01 - 2024.04，中山大学，智能工程学院，助理教授，副教授

2018.11 - 2020.12，新加坡麻省理工学院联合研究中心，未来城市交通交叉课题研究组，博士后

2014.09 - 2018.11，香港浸会大学，地理系，地理，博士

2012.09 - 2014.06，武汉大学，遥感信息工程学院，测绘工程，硕士

2008.09 - 2012.06，武汉大学，遥感信息工程学院，遥感科学与技术（地理信息系统），学士

学科方向

交通地理，城市信息学，地理信息科学，时空数据挖掘，出行行为分析 

科研项目

1．国家自然科学基金青年基金项目，融合社交关联的大规模人口合成方法研究，2023.01-2025.12，主持。

2．广东省基础与应用基础研究基金项目，面向大规模城市交通仿真分析的精细化人口合成研究，2021.09-2024.08，主持。

3．中山大学高校基本科研业务费青年教师团队项目，基于时空规律特征与概率推断的轨迹位置估计方法研究，2022.01-2022.12，主持。

4. 香港研究资助局，Urban expansion and travel behavior evolution in Shenzhen: the role of travel time budget，2022.01-2024.12，Co-Investigator。

5. 中山大学“百人计划”科研启动经费，2021-2023，主持。

6.国家自然科学基金，碳普惠交易激励对私家车出行模式转变的影响机理研究，2024.01-2027.12，参与。

6.新加坡国家研究基金会，Studying Autonomous Vehicles Policies with Urban Planning of Toa Payoh in Singapore，2017.02-2020.08，参与。

7.香港研究资助局，Exploring the inter-generational trends in daily travel behavior in Hong Kong and Shenzhen，2016.01-2019.12，参与。

8.国家自然科学基金，基于多源时空大数据群体时空移动规律挖掘与动力学建模， 2016.01-2018.12，参与。

论著专利

[1] Tu, W., Ye, H., Mai, K., Zhou, M.*, Jiang, J., Zhao, T., ... & Li, Q. (2024). Deep online recommendations for connected E-taxis by coupling trajectory mining and reinforcement learning. International Journal of Geographical Information Science, 38(2), 216-242.

[2] Guan, X., Zhou, M.*, & Wang, D. (2023). Reference points in travel satisfaction: Travel preference, travel experience, or peers’ travel?. Transportation Research Part D: Transport and Environment, 124, 103929.

[3] Deng, R., Zhou, M.*, Huang, Y., & Tu, W. (2023). Hybrid Task Cascade-Based Building Extraction Method in Remote Sensing Imagery. Remote Sensing, 15(20), 4907.

[4] Huang, Z., Zhou, M.*, Liu, S., & You, L. (2023, June). Efficiency-Improved Federated Learning Approaches for Time of Arrival Estimation. In 2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS) (pp. 1-6). IEEE.

[5] Nguyen-Phuoc, D. Q., Zhou, M., Chua, M. H., Alho, A. R.*, Oh, S., Seshadri, R., & Le, D. T. (2023). Examining the effects of Automated Mobility-on-Demand services on public transport systems using an agent-based simulation approach. Transportation Research Part A: Policy and Practice, 169, 103583.

[6] Zhou, M., Wang, D.*, & Guan, X. (2022). Co-evolution of the built environment and travel behaviour in Shenzhen, China. Transportation research part D: transport and environment, 107, 103291.

[7] Zhou, M.*, Li, J., Basu, R., & Ferreira, J. (2022). Creating spatially-detailed heterogeneous synthetic populations for agent-based microsimulation. Computers, Environment and Urban Systems, 91, 101717. 

[8] Huang, Y., Zhou, M.*, Deng, R., Huang, Z., & You, L. (2022, April). An Integrated Framework for Population Synthesis at Fine-Grained Spatial Scales. In International Conference on Green Building, Civil Engineering and Smart City (pp. 1255-1262). Singapore: Springer Nature Singapore.

[9] You, L., Fang, M., Zhou, M.*, Li, H., Hao, M., Cheng, S., & Cai, M. (2022). An Ontology-Based Knowledge Evolution Mechanism to Support the Adaptive Design of Autonomous Transportation System. In CICTP 2022 (pp. 182-192).

[10] Oh, S.*, Kondor, D., Seshadri, R., Le, D., Romano, A., Zhou, M., & Ben-akiva, M. (2022). Research in Transportation Business & Management Exploring the operational characteristics of ride-sourcing in an urban area. Research in Transportation Business & Management, April, 100827. 

[11] Zhou, M., Le, D. T.*, Nguyen-Phuoc, D. Q., Zegras, P. C., & Ferreira, J. (2021). Simulating impacts of Automated Mobility-on-Demand on accessibility and residential relocation. Cities, 118(February), 103345. 

[12] Zhou, M., & Wang, D.* (2019). Generational differences in attitudes towards car, car ownership and car use in Beijing. Transportation Research Part D: Transport and Environment, 72(May), 261–278. 

[13] Zhou, M.*, Le, D. T., Zegras, P. C., & Ferreira, J. (2019). Impacts of Automated Mobility on Demand on Long-term Mobility Choices: a Case Study of Singapore. 2019 IEEE Intelligent Transportation Systems Conference, ITSC 2019, 1908–1913. 

[14] Zhou, M., & Wang, D.* (2019). Investigating inter-generational changes in activity-travel behavior: a disaggregate approach. Transportation, 46(5), 1643-1687.

[15] Lin, T., Wang, D.*, & Zhou, M. (2018). Residential relocation and changes in travel behavior: what is the role of social context change?. Transportation research part A: policy and practice, 111, 360-374.

[16] Tu, W., Cao, J., Yue, Y.*, Shaw, S.-L., Zhou, M., Wang, Z., Chang, X., Xu, Y., & Li, Q. (2017). Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns. International Journal of Geographical Information Science, 31(12), 1–28. 

[17] Zhou, M., Wang, D.*, Li, Q., Yue, Y., Tu, W., & Cao, R. (2017). Impacts of weather on public transport ridership: Results from mining data from different sources. Transportation Research Part C: Emerging Technologies, 75, 17–29.

[18] Wang, D.*, & Zhou, M. (2017). The built environment and travel behavior in urban China: A literature review. Transportation Research Part D: Transport and Environment.

[19] Zhou, M., Yue, Y.*, Li, Q., & Wang, D. (2016). Portraying Temporal Dynamics of Urban Spatial Divisions with Mobile Phone Positioning Data : a Complex Network Approach. ISPRS International Journal of Geo-Information, 5, 1–21.

荣誉获奖情况

2023，中山大学第十一届教师教学竞赛二等奖

2021，深圳市海外高层次人才

2013，研究生国家奖学金

主要兼职

担任Transportation Research Part A: Policy and Practice, Transportation Research Part D: Transport and Environment, Transportation, International Journal of Geographical Information Science, Journal of Transport and Land Use, Travel Behaviour and Society等期刊审稿人。

联系方式

电子邮箱： zhoum89@mail.sysu.edu.cn