【咨政报告】
主持多篇国家、部委、地方和行业层面的政策研究咨询，产生积极的社会作用。
【重大项目】
2024，城市层面包容性低碳转型指标体系研究，世界资源研究所
2023，城市建设数字化转型研究报告，住房和城乡建设部课题
2022，数字技术支撑中长期发展规划决策和管理研究，国家高端智库课题
2022，基于深度学习的城市风险时空态势可解释预测研究（72171013），国家自然科学基金
2022，人工智能驱动的可持续城市和社区发展与治理，智源研究院面向可持续发展的人工智能公益研究计划
2021，北京城市健康状况研究：对标、评价与建议，首都高端智库课题
2020，清华城市健康指数（年度更新）
2018，多规协同的城市空间数据体系研究（2018YFB2100701-02），重点研发计划
2018，基于社会行为数据的城市认知系统研发与示范应用（Z181100003518001），北京市科委物联网与智慧城市重点专项
【论文】
1.李栋,韩颂,李丰婧.健康城市评价体系的回顾与展望[J].西部人居环境学刊, 2023, 38(2): 17-23.
2.李栋.政策评估视角下城市体检概念辨析与再认识[J].上海城市规划, 2022(1): 8-15.
3.陈会宴,蔡玉蘅,吴纳维,褚峤,李栋.精细化空间尺度下的国家级新区开发影响要素对比研究[J].城乡规划, 2020(1): 113-118+124.
4.张伟丽,叶信岳,李栋,傅继彬,吴梦荷.网络关联、空间溢出效应与中国区域经济增长——基于腾讯位置大数据的研究[J].地理科学, 2019, 39(9): 1371-1377.
5.林文棋,蔡玉蘅,李栋,孙小明,吴梦荷,马靓,段冰若.从城市体检到动态监测——以上海城市体征监测为例[J].上海城市规划, 2019(3): 23-29.
6.林文棋,陈会宴,谢盼,李颖,陈清凝,李栋.基于多源数据的北京市朝阳区人口时空格局评估与预测[J].地球信息科学学报, 2018, 20(10): 1467-1477.
7.李栋.规划变革下一程:从数据驱动到算法驱动[J].北京规划建设, 2017(6): 6-10.
8.杨威杉,蔡博峰,王金南,曹丽斌,李栋.中国低碳城市关注度研究[J].中国人口·资源与环境, 2017, 27(2): 22-27.
9.蔡博峰,王金南,龙瀛,李栋,王江浩.中国垃圾填埋场恶臭影响人口和人群活动研究[J].环境工程, 2016, 34(2): 5-9+32.
10.李栋,蔡博峰.基于距离-密度关系的典型垃圾处理设施布局指数研究[J].环境工程, 2016, 34(2): 10-13+26.
11.Zhang L, Yu H, Zhou Z, Yi F, Li D. National Big Data Experimental Area and the Unexpected Booming of the Housing Price in Guiyang of Guizhou Province of China[J]. Land, 2023, 12(2): 453.
12.Shan Y, Fang S, Cai B, Zhou Y, Li D, Feng K, Hubacek K. Chinese cities exhibit varying degrees of decoupling of economic growth and CO2 emissions between 2005 and 2015[J]. One Earth, 2021, 4(1): 124-134.
13.Pi J, Li D, Liu X, Freestone R. The spatial distribution of employment around major Chinese airports[J]. Journal of Transport Geography, 2021, 91: 102978.
14.Zhang X, Ji Z, Zheng Y, Ye X, Li D. Evaluating the effect of city lock-down on controlling COVID-19 propagation through deep learning and network science models[J]. Cities, 2020, 107: 102869.
15.Xie Z, Ye X, Zheng Z, Li D, Sun L, Li R, Benya S. Modeling Polycentric Urbanization Using Multisource Big Geospatial Data[J]. Remote Sensing, 2019, 11(3): 310.
16.Zhou J, Yang Y, Gu P, Yin L, Zhang Fan, Zhang Fang, Li D. Can TODness improve (expected) performances of TODs? An exploration facilitated by non-traditional data[J]. Transportation Research Part D: Transport and Environment, 2019, 74: 28-47.
17.Yang Y, Li D, Li X (Robert). Public transport connectivity and intercity tourist flows[J]. Journal of Travel Research, 2019, 58(1): 25-41.
18.Ye Y, Li D, Liu X. How block density and typology affect urban vitality: an exploratory analysis in Shenzhen, China[J]. Urban Geography, 2018, 39(4): 631-652.
19.Wang Z, Jin Y, Liu Y, Li D, Zhang B. Comparing Social Media Data and Survey Data in Assessing the Attractiveness of Beijing Olympic Forest Park[J]. Sustainability, 2018, 10(2): 382.
20.Li Dong, Long Ying. A Crowd-Sourced Data Based Analytical Framework for Urban Planning[J]. China City Planning Review, 2015, 24(1): 49-57.
21.Liu X, Song Y, Wu K, Wang J, Li D, Long Y. Understanding urban China with open data[J]. Cities, 2015, 47: 53-61.
【图书章节】
1.李栋,谢力唯.中国典型城市SDG11综合评估[M]//中国科学院可持续发展大数据国际研究中心.地球大数据支撑可持续发展目标报告（2023）. 2023: 52-53.
2.Fengjing L, Dong L, Liwei X. Assessing the Green View Index in Chinese Cities: An Example with Data from Eighty Cities[M]//Buhmann E, Ervin S, Hehl-Lange S, Palmer J. Journal of Digital Landscape Architecture. Germany: Wichmann Verlag, 2022: 291-300.
3.Cai Y, Li D, Duan B. Evaluating China’s Investment Network and Mega-regions[M]//Ye X, Liu X. Cities as Spatial and Social Networks. Cham: Springer International Publishing, 2019: 123-145.
4.Li D, Wu M, Duan B, Cai Y. Measuring by Movements: Hierarchical Clustering of Cities in China Based on Aggregated Massive Positioning Data[M]//Shen Z, Li M. Big Data Support of Urban Planning and Management. Cham: Springer International Publishing, 2018: 63-77.
5.Li D, Yang Y. GIS Monitoring of Traveler Flows Based on Big Data[M]//Zheng Xiang, Daniel R. Fesenmaier. Analytics in Smart Tourism Design. Cham: Springer International Publishing, 2016: 111-126.
