同济大学
导师风采
刁弥
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  • 教授
  • 导师类别:硕士,博士生导师
  • 性别: 男
  • 学历:博士研究生
  • 学位:博士

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  • 所属院系:建筑与城市规划学院
  • 所属专业: 城乡规划学  、 城市规划
  • 邮箱 : diaomi@tongji.edu.cn
  • 工作电话 : -

个人简介

Personal Profile

  • 刁弥,同济大学建筑与城市规划学院长聘教授,博士生导师,国家一级注册建筑师,入选上海市海外高层次人才计划。清华大学建筑学学士和硕士,美国麻省理工学院(MIT)城市规划硕士和博士,麻省理工学院城市研究与规划系博士后。曾在新加坡国立大学(NUS)房地产系及城市与地产研究院执教和从事研究工作多年。

    目前担任自然资源部国土空间智能规划技术重点实验室数字化城乡治理分实验中心主任,上海市城市设计与城市科学重点实验室学术委员会委员,中国城市科学研究会新型城镇化与城乡规划研究专业委员会委员,天津市城市规划协会城市生态与韧性规划专业委员会委员和智库专家,美国麻省理工学院JTL Urban Mobility Lab客座研究员,香港研究资助局外部评审专家,SSCI期刊Journal of Transport and Land Use主编(Editor),Transportation Research Part D: Transport and Environment (JCR一区,中科院一区) 编委。

    主要研究领域包括数智城市、交通规划和政策、城市与区域规划、房地产和城市经济学、城市微观模拟。主持国家重点研发课题和上海市自然科学基金项目,主持和参与多项新加坡国家级研究项目。有多篇论文发表于包括Nature子刊Nature Sustainability和Nature Communications在内的领域顶级国际期刊。入选斯坦福大学全球前2%顶尖科学家终身影响力排行榜(2024)和年度影响力排行榜(2021-2024)。


  • 研究方向Research Directions
数智城市,交通规划和政策,城市与区域规划,房地产和城市经济学
2. 机电结构优化与控制 研究内容:在对机电结构进行分析和优化的基础上,运用控制理论进行结构参数的调整,使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容:以仿生结构为研究对象,运用连续体结构拓扑优化设计理论和方法,对多相仿生结构(机构)材料进行2. 机电结构优化与控制 研究内容:在对机电结构进行分析和优化的基础上,运用控制理论进行结构参数的调整,使结构性能满足设计要求。1. 仿生结构材料拓扑优化设计, 仿生机械设计 研究内容:以仿生结构为研究对象,运用连续体结构拓扑优化设计理论和方法,对多相仿生结构(机构)材料进行整体布局设计。 整体布局设计。
科研项目

1. 建成环境大数据的分析推演和城市设计多目标仿真模拟技术,国家重点研发课题,320万元,在研,2025-04至2028-03,主持。

2. 面向包容性的城市交通系统研究:理论框架、影响机制与规划响应, 中央高校基本科研业务费, 44.4万元,在研,2025-01 至 2025-11,主持。

3. 可持续交通视角下的新兴交通方式:机制、效用和策略, 中央高校基本科研业务费, 55万元,结题,2023-12 至 2024-11,主持。

4. 多层次轨道交通网络对区域经济集聚与平衡的影响及其机制研究:以长三角城市群为例,上海市2023年度自然科学基金面上项目,20万元,在研,2023-04至2026-03,主持。

5. 低碳城市综合交通规划和政策研究, 中央高校基本科研业务费, 50万元,结题,2022-12 至 2023-11,主持。

6.  轨道交通网络化的多维度影响研究, 中央高校基本科研业务费, 40万元,结题,2021-09 至 2022-12,主持。

7. 共享交通对城市可持续发展的影响评价,中央高校基本科研业务费, 18万元,结题, 2020-09 至 2021-12,主持。





研究成果

论文发表:

1.     K. Song, M. Diao*, “Nonlinear and spatially-varying effects ofthe built environment on dockless bike-sharing usage”, Transportation Research Part D:Transport and Environment, 2025,volume 145, 104807.

2.      L. Zheng,Z. Peng, M. Diao, Z. Chang, “How does High-speed rail reshape thespatial distribution of service activities? Evidence from the firm data inChina”, TransportPolicy, 2025,volume 167, 16-27.

3.      H. Su, M.Diao*, “Assessing the causal effect of air pollution on electric vehicleadoption using real world data: Evidence from 270 Chinese cities”, Journal of Transport Geography, 2025, volume 124, 104120.

4.     M. Diao, K. Lin,Z. Chang, “Impacts of new metro lines on the activity space of older people”, Transportation Research Part D:Transport and Environment, 2024,volume 137, 104505.

5.     J. Wang, Y. Lu, M. Diao, Y. Liu, “A comparative analysis ofcross-sectional study and natural experiment in rail transit-travel behaviorresearch: A case study in Wuhan, China”, Journal of Transport Geography, 2024, volume 121, 104035.

6.     Z. Chang, W. Li, M. Diao, X. Li, “Marriage Entry, Divorce, and Reconciliation:The Unintended Consequence of the Home Purchase Restriction Policy in China”, Humanities and Social SciencesCommunications, 2024,volume 11, 1229.

7.      Y. Zheng, D.R.Keith, S. Wang, M. Diao, J. Zhao, “Effects of Electric Vehicle ChargingStations on the Economic Vitality of Local Businesses”, Nature Communications, 2024, volume 15, 7437.

8.      Y. Zhu and M.Diao*, “The Local and Network Effects of Rail Transit Network Expansion onRetail Property Values”, Journal ofPlanning Education and Research, 2024, volume 44, issue 3, pp. 1820–1834.

9.      M. Diao, T.F. Sing, X. Zhang, “The Political Economy of Public HousingUpgrading Programs”, Journal ofEconomic Behavior and Organization, 2024, volume 224, pp. 369-389.

10.    F. Dai, M.Diao*, and T.F. Sing, “A Two-Dimensional Propensity Score Matching Approachto Estimating the Treatment Effect of Urban Rail Transit Lines on VehicleTravel”, Transportation, 2024, volume 51, pp. 853–873.

11.    M. Diao, Q. Li, T.F. Sing, and C. Zhan, “Disamenities of Living Close to TransitTracks: Evidence from Singapore's MRT System”, Regional Science and Urban Economics, 2023, volume 100, 103894.

12.    M. Diao, K. Song, S. Shi, Y. Zhu, and B. Liu, “The Environmental Benefits ofDockless Bike Sharing Systems for Commuting Trips”, Transportation Research Part D:Transport and Environment, 2023,volume 124, 103959.

13.    Z. Wang, H.Jia, F. Dai, and M. Diao*, “Understanding the Ground Access andAirport Choice Behavior of Air Passengers Using Transit Payment TransactionData”, TransportPolicy, 2022,volume 127, pp. 179-190.

14.    C. Zhengand M. Diao*, “Inter-city Transport Infrastructure and Intra-cityHousing Markets: Estimating the Redistribution Effect of High-Speed Rail inShenzhen, China,” Urban Studies, 2022, volume 59, issue 4, pp. 870-889.

15.    M.Diao, Y.Fan, and T.F. Sing, “Rational Pricing Responses of Developers to Supply Shocks:Evidence from Singapore”, Journalof Economic Behavior and Organization, 2021, volume190, pp.802-815.

16.    Z. Chang, M.Diao, K. Jing, and W. Li, “High-Speed Rail and Industrial Movement:Evidence from China’s Greater Bay Area”, Transport Policy, 2021, volume 112, pp. 22-31.

17.    S. Song, M.Diao*, and C.-C. Feng, “Effects of Pricing and Infrastructure on CarOwnership: A Pseudo-Panel-Based Dynamic Model”, Transportation Research Part A: Policyand Practice, 2021,volume 152, pp. 115-126.

18.    Y. Zhu, M.Diao*, and J. Li, “Examining Indoor Air Pollution in a Large-scaleIntegrated Transportation Hub in Shanghai”, Transportation Research Part D:Transport and Environment, 2021,volume 97, 102947.

19.   M. Diao, H. Kong,and J. Zhao, “Impacts of Transportation Network Companies on Urban Mobility,” Nature Sustainability, 2021, volume 4, 494–500.

20.   F. Dai, M. Diao*, and T.F. Sing, “Effects of Rail Transit on IndividualTravel Mode Shares: A Two-Dimensional Propensity Score Matching Approach,” Transportation Research Part D: Transport and Environment, 2020, volume 89, 102601.

21.   S. Agarwal, M. Diao, J. Keppo, and T.F. Sing, “Preferences of Public TransitCommuters: Evidence from Smart Card Data in Singapore,” Journal of Urban Economics, 2020, volume120, 103288.

22.   Y. Zhu and M. Diao*, “Crowdsourcing-Data-Based DynamicMeasures of Accessibility to Business Establishments and Individual DestinationChoices,” Transportation ResearchPart D: Transport and Environment, 2020, volume 87,102382.

23.    S.Song, C.-C. Feng, and M.Diao*, “Vehicle Quota Control, Transport Infrastructure Investment, and Vehicle Travel: A Pseudo Panel Analysis,” Urban Studies, 2020, volume 57, issue 12, pp. 2527-2546.

24.    Y. Zhu and M.Diao*, “Understanding the Spatiotemporal Patterns of Public Bicycle Usage: A Case Study of Hangzhou, China,” International Journal of Sustainable Transportation, 2020, volume 14, issue 3, pp.163-176.

25.    M.Diao, Y. Fan, and T.F. Sing, “Demand Restrictions and Asymmetric Risk Behaviors,” International Real Estate Review, 2019, volume 22, issue 2, pp.131-167.

26.    M. Diao*, “Towards SustainableUrban Transport in Singapore: Policy Instruments and Mobility Trends,” Transport Policy, 2019, volume 81, pp.320-330.

27.    M. Diao, Y. Fan, and X. Zhang, “Introduction to Special Issue:Rail Transit Developmentin China and Beyond,” Journal of Transport and Land Use, 2019,volume 12, issue 1,pp. 237-239.

28.    K. Cao, M. Diao, and B. Wu, “A Big-Data-Based Geographically Weighted Regression Model for Public Housing Prices: A Case Study in Singapore,” Annals of the American Association of Geographers, 2019, volume, 109, issue 1, pp.173-186.

29.    Y. Zhu, M. Diao, J. Ferreira, Jr., and P.C. Zegras, “An Integrated Microsimulation Approach to Land Use and Mobility Modeling,” Journal of Transport and Land Use, 2018, volume 11, issue 1, pp.633-659.

30.    M. Diao*, “Does Growth Follow the Rail? The Potential Impact of High-Speed Rail onthe Economic Geographyof China,” TransportationResearch Part A: Policy and Practice, 2018, volume 113, pp.279-290.

31.    M.Diao, D. Leonard, and T.F. Sing, “Spatial-Difference-in-Differences Models for Impact of New Mass Rapid Transit Line on Private Housing Values,” Regional Science and Urban Economics, 2017, volume 67, pp.64-77.

32.    M.Diao, Y. Zhu, and J. Zhu, “Intra-City Access to Inter-city Transport Nodes: The Implications of High-Speed-Rail Station Locations for the Urban Development of Chinese Cities,” Urban Studies, 2017, volume 54, issue 10, pp.2249-2267.

33.    M.Diao, Y. Fan, and T.F. Sing, “A New Mass Rapid Transit (MRT) Line Construction and Housing Wealth: Evidence from the CircleLine,” Journal of Infrastructure, Policy and Development, 2017, volume 1, issue 1, pp.64-89.

34.    Y. Zhu, M. Diao*, and G. Fu, “Featured Graphic: The Evolution of Accessibility Surface of China in theHigh-Speed-Rail Era,” Environment and Planning A, 2016, volume 48, issue 11, pp.2108-2111.

35.    M.Diao, Y. Qin, and T.F. Sing, “Negative Externalities of Rail noise and Housing Values: Evidence from the Cessation of Railway Operations in Singapore,” Real Estate Economics, 2016,volume 44, issue 4, pp.878-917.

36.    Y. Zhu and M.Diao*, “The Impacts of Urban Mass Rapid Transit Lines on the Density and Mobility of High-Income Households: A Case Study of Singapore,” Transport Policy, 2016, volume 51, pp.70-80.

37.    S.Song, M. Diao*, and C.-C. Feng, “Individual Transport Emissions and the Built Environment: A Structural Equation Modelling Approach,” Transportation Research Part A: Policy and Practice, 2016, volume 92, pp.206-219.

38.    M.Diao, Y. Zhu, J. Ferreira, Jr., and C. Ratti, “Inferring Individual Daily Activities from Mobile Phone Traces: A Boston Example,” Environment and Planning B: Planning and Design, 2016, volume 43, issue 5, pp.920-940.

39.    Y. Zhu and M.Diao, “Featured Graphic: The Evolution of a Two-Sector Housing Market,” Environment and Planning A, 2015, volume 47, issue 4, pp.763-765.

40.    M.Diao*, “Are Inner-City Neighborhoods Underserved? An Empirical Analysis of Food Markets in a U.S. Metropolitan Area,” Journal ofPlanning Education and Research, 2015, volume 35, issue 1, pp.19-34.

41.    M.Diao*, “Selectivity, Spatial Autocorrelation, and the Valuation of Transit Accessibility,” Urban Studies, 2015, volume 52, issue 1, pp.159-177.

42.    M.Diao, X. Ma, and J. Ferreira, Jr., “A Real-Option Based Dynamic Model to Simulate Real Estate Developer Behavior,” Proceedings of the 14th International Conference on Computers in UrbanPlanning and Urban Management,2015.

43.    M. Diao and J. Ferreira, Jr., “Vehicle Miles Traveledand the Built Environment: Evidence from Vehicle Safety Inspection Data,” Environment and Planning A, 2014, volume46, issue 12, pp.2991-3009.

44.    J. Ferreira, Jr., M. Diao, and J. Xu., “Estimating theVehicle-Miles-Traveled Implications of Alternative Metropolitan Growth Scenarios– A Boston Example,” Transactions in GIS,2013, volume 17, issue 5, pp.645-660.

45.    F. Calabrese, M. Diao*, G. Di Lorenzo, J. Ferreira,Jr., and C. Ratti, “UnderstandingIndividual Mobility Patterns from Urban Sensing Data: A Mobile Phone Trace Example,”Transportation Research Part C: EmergingTechnologies, 2013, volume 23, pp. 301-313.

46.    J. Ferreira, Jr., M. Diao, Y. Zhu, W. Li, and S. Jiang, “InformationInfrastructure for Research Collaboration in Land Use, Transportation, andEnvironmental Planning,” TransportationResearch Record: Journal of the Transportation Research Board, 2010, volume2183, pp. 85-93.

47.    M.Diao and J. Ferreira, Jr., “ResidentialProperty Values and the Built Environment: Empirical Study in the Boston,Massachusetts, Metropolitan Area,” TransportationResearch Record: Journal of the Transportation Research Board, 2010, volume 2174, pp. 138-147.


专著章节:

1.      W. Fang, Y. Zheng, M. Diao, and J. Zhao, “Dispersion of Agglomeration through High-Speed Rail in China,” in: C. Mulley, J.D. Nelson (eds) Urban Form and Accessibility: Social, Economic, and Environment impacts, Elsevier, 2021.

2.      S. Song, M. Diao, and C.-C. Feng, “Urban Mobility and Resilience: Transport Infrastructure Investment and the Demand for Travel,” in: Leong CH., Malone-Lee LC. (eds) Building Resilient Neighbourhoods in Singapore. Advances in 21st Century Human Settlements, Springer, Singapore, 2020.

3.      Y. Zhu, M. Diao, J. Ferreira, Jr., W. Li, and S. Jiang, “Flexible Geospatial Platform for Distributed and Collaborative Urban Modelling,” in Planning Support Systems for Sustainable Urban Development, S. Geertman et al. (eds.), Springer-Verlag Berlin Heidelberg, 2013.


学术奖励

1. 入选斯坦福大学发布的全球前2%顶尖科学家“终身科学影响力排行榜”,2024

2. 入选斯坦福大学发布的全球前2%顶尖科学家“年度科学影响力排行榜”,2021-2024

3. 2023年中国房地产学术研讨会最佳论文三等奖, 2023 (朱祎,刁弥)

4. 最佳研究金奖 (Best Research Gold Award), 第16届城市交通可持续发展国际会议 14th International Symposium on Sustainable Development of Urban Transport Systems, 2023(宋科,刁弥

5. 2022年中国房地产学术研讨会最佳论文一等奖, 2022 (朱祎,刁弥)

6. 2021城市可持续发展经济研究奖(2021 Economic Approach in Urban Sustainability Studies Award), 国际中国规划学会 (International Association for China Planning, IACP), 2021

7. 最佳研究金奖 (Best Research Gold Award), 第14届城市交通可持续发展国际会议 14th International Symposium on Sustainable Development of Urban Transport Systems, 2021

6. 2021年中国房地产学术研讨会最佳论文二等奖, 2021 (Mi Diao; Qiang Li; Tien FooSing; Changwei Zhan)


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