董冠鹏，男，1985 年 11 月 出生，河南许昌人，河南大学，教授，博导，2020 年入选国家千人计划青年项目，研究方向为时空统计模型方法创新和人地系统模拟。原创性地开发了空间多尺度统计模型方法及其开源统计软件，合作开发了桌面版空间统计软件 GWmodelS。
手机：19939902096; 电子邮件：gpdong@vip.henu.edu.cn
教育经历
1. 2011.08—2014.09，英国布里斯托尔大学(University of Bristol, UK)，博士研究生，博士(PhD)， 地理学，英国政府全额奖学金
2. 2008.09—2011.07，中国科学院地理科学与资源研究所，硕士研究生，硕士(MSc)，人文地理学
3. 2004.09—2008.07，河南大学，环境与规划学院，本科，学士(B.S.)，资源环境与城乡规划管理专业
任职经历
1. 2023.6—至今，河南大学黄河文明与可持续发展研究中心副主任、应对气候变化与碳中和实验室副主任
2. 2019.12—至今，河南大学,杰出人才第三层次特聘教授
3. 2016.06—2019.12，英国利物浦大学(University of Liverpool, UK)，地理与规划学院，讲师(终身教职)
4. 2014.10—2016.06，英国谢菲尔德大学(University of Sheffield)，高级定量方法研究中心，博士后研究员
个人荣誉和获奖
1. 2024年国际地理联合会(IGU)青年科学家奖
2. 2020年国家海外高层次青年人才（2020-2023）
3. 2016年英国经济社会理事会定量社会科学奖 Jon Rasbash Memorial Prize
4. 中国地理学会地理模型与地理信息分析专业委员会委员、中国地理学会行为地理专业委员会委员、国际区域研究学会中国分会理事、《地理科学》编委
5. 国际地理学知名SSCI期刊Applied Spatial Analysis and Policy 副主编
6. 2018年利物浦大学教学突出贡献奖
7. 英国高等教育协会会士
8. 美国芝加哥大学空间数据科学中心客座研究员、国家发改委产业经济与技术经济研究所客座研究员
最近 5 年从事过的主要研究项目
1. 主持；国家海外高层次人才青年项目（中组部，2020-2023，200万元）
2. 主持；国家自然科学基金面上项目：极端高温对经济增长影响的多尺度空间过程建模研究（批准号：42471467；45万元，2025-2028）
3. 主持；国家自然科学基金青年项目：黄河流域生态系统服务功能与经济发展的关系研究——基于空间多尺度统计模型的开发与应用（批准号：42001115；24万元，2021-2023）
4. 子课题主持人：Analysing Multi-dimensional and multi-scale inequalities in Scottish Society（英国经济社会理事会ESRC，200万英镑，项目号：ES/P009301/1，2017-10至2020-09）
5. 子课题主持人：Financing Clean Air（英国经济社会理事会ESRC和NSFC，94万欧元，项目号：ES/T000279/1，2019至2022）
6. 参与：Dynamics of health & environmental inequalities in Hebei Province（英国经济社会理事会ESRC，20万英镑，项目号：ES/P003567/1，2017-10至2019-09）
7. 主持： Building Breathable Cities: What role could land-based finance play in China’s preparations for climate change. （美国林肯土地政策研究院，2021-2022, 1.1 万美元）
开发的地理统计建模软件
1. HSAR—Hierarchical Spatial Autoregressive Models R 语言开源统计软件包。第一开发人，实现多尺度空间计量、统计模型
2. GWmodelS—桌面版地理加权统计软件，与武汉大学共同开发。（地理加权建模技术软件，软著登记号：2022SR0452300；排名第一）
发表的部分主要文章
多尺度时空统计模型开发方面(*通讯作者)
1) Ma J and Dong G*. Periodicity and Variability in Daily Activity Satisfaction: Toward a Space-Time Modeling of Subjective Well-Being, Annals of the American Association of Geographers, 2023, 113: 1918-1938 (JCR SSCI 一区)
2) Zhang H, Dong GP*, et al. Understanding and extending the geographical detector model under a linear regression framework, International Journal of Geographical Information Science, 2023, 37: 2437-2453 (JCR SSCI 一区)
3) Dong G P, Ma, J, Lee D, Chen MX, Pryce G, Chen Y. Developing a Locally Adaptive Spatial
Multilevel Logistic Model to Analyze Ecological Effects on Health Using Individual Census Records. Annals of the American Association of Geographers, 2020, 110:739-757. (JCR
SSCI 一区)
4) Dong G P, Ma J, Kwan M P, Wang Y, Chai Y. Multi-level temporal autoregressive modelling of daily activity satisfaction using GPS-integrated activity diary data. International Journal
of Geographical Information Science, 2018, 32, 2189-2208 (JCR SSCI 一区)
5) Dong G P, Ma J, Harris R and Pryce G. Spatial Random Slope Multilevel Modelling using Multivariate Conditional Autoregressive Models：A case study of subjective travel satisfaction in Beijing. Annals of the American Association of Geographers, 2016, 106(1): 19-35. (JCR SSCI 一区)
6) Dong G P and Harris, R. Spatial Autoregressive Models for Geographically Hierarchical
Data Structures. Geographical Analysis, 2015, 47, 173-191. (JCR SSCI 二区)
7) Comber L, Brunsdon C, Charlton M, Dong GP, et al. A route map for successful applications of geographically weighted regression, Geographical Analysis, 2023, 55: 155-178 (ESI Highly Cited Paper) (JCR SSCI 二区)
8) Dong G P, Nakaya T and Brunsdon C. Geographically weighted regression models for ordinal categorical response variables: An application to geo-referenced life satisfaction data. Computers, Environment and Urban Systems, 2018, 70, 35-42 (JCR SSCI 一区)
9) Dong G P, Wolf L, Alexiou A, Arribas-Bel D. Inferring neighbourhood quality with property transaction records by using a locally adaptive spatial multi-level model. Computers, Environment and Urban Systems, 2019, 79, 118-125. (JCR SSCI 一区)
10) Dong G P, Ma J, Wei R, Haycox J. Electric vehicle charging point placement optimisation by exploiting spatial statistics and maximal coverage location models. Transportation Research
Part D: Transport and Environment, 2019, 67, 77-88. (JCR SSCI 一区)
11) Lu, B., Hu, Y., Yang, D., Liu, Y., Liao, L., Yin, Z., Xia, T., Dong, Z., Harris, P., Brunsdon, C.
and Comber, L & Dong GP*, 2023. GWmodelS: A software for geographically weighted models. SoftwareX, 21, p.101291.
12) Comber S, Arribas-Bel D, Singleton A, Dong G P, Dolega L. Building hierarchies of retail centers using Bayesian multilevel models. Annals of the American Association of
Geographers, 2020, 110: 1150-1173. (JCR SSCI 一区)
13) Dong G P, Statham T. Geography of broadband faults explored with a Bayesian spatio-temporal statistical model. Applied Geography, 2020, (JCR SSCI 一区) https://doi.org/10.1016/j.apgeog.2020.102308
14) Ma J, Chen Y and Dong G P*. Flexible Spatial Multilevel Modelling of Neighbourhood
Satisfaction in Beijing. Professional Geographer, 2018, 70, 11-21. (JCR SSCI 三区)
15) Ma J, Mitchell G, Dong G P* and Zhang W Z. Inequality in Beijing: A spatial Multilevel Analysis of Perceived Environmental Hazard and Self-rated Health. Annals of the American Association of Geographers, 2017, 107:109-129. (JCR SSCI 一区)
16) Hu Y, Lu B, Ge Y, Dong GP. 2022. Uncovering spatial heterogeneity in real estate prices via combined hierarchical linear model and geographically weighted regression. Environment and Planning B: Urban Analytics and City Science, 49(6): 1715-1740. (JCR SSCI 二区)
17) Harris R, Dong G*, Zhang W. Using Contextualized Geographically Weighted Regression to Model the Spatial Heterogeneity of Land Prices in Beijing, China, 2013, Transactions in GIS, 17: 901-919.
气候变化、土地利用与可持续发展研究(*通讯作者)
18) Zhang H, Dong GP*, et al. 2024. Developing an annual global Sub-National scale economic data from 1992 to 2021 using nighttime lights and deep learning. International Journal of Applied Earth Observation and Geoinformation, 133, 104086. (SCIE 一区 TOP)
19) Yang F, Dong GP*, et al. 2024. Stylized facts of past 1000-year of China’s cropland changes. Land Use Policy, 144, 107258 (SSCI 一区)
20) Rao J, Ma J, & Dong GP*. 2024. How mobility-based exposure to green space and environmental pollution influence individuals’ wellbeing. Landscape and Urban Planning, 105199. (SCIE 一区 TOP)
21) Dong GP, Zhang Z, et al. 2024. Geographical match of objective and subjective measures of well-being at an intra-city scale. Applied Geography, 167, 103290.
22) Dong GP, Witlox F, Bie Y*. 2024. Decentralizing e-bus charging infrastructure deployment leads to economic and environmental benefits. Communications in Transportation Research, 4, 100139. (SSCI 一区)
23) Lu B, Hu Y, Dong GP*. 2024. GWmodelS: a standalone software to train geographically weighted models. Geo-spatial Information Science, https://doi.org/10.1080/10095020.2024.2343011 (SCIE 一区)
24) Gao Y, Meng Y, Dong GP, et al. 2024. The wind-solar hybrid energy could serve as a stable power source at multiple time scale in China mainland. Energy, 305, 132294 (SCIE 一区 TOP)
25) Bing Li, Shunlin Liang, Han Ma, Guanpeng Dong et al. 2024. Generation of global 1 km all-weather instantaneous and daily mean land surface temperatures from MODIS data. Earth Syst. Sci. Data, 16, 3795–3819. (SCIE 一区 TOP)
26) Lian D, Yuan B, Li X,…, Dong GP. 2024. The contrasting trend of global urbanization-induced impacts on day and night land surface temperature from a time-series perspective. Sustainable Cities and Society, 109(15), 105521. (SCIE 一区 TOP)
27) Meng X, Li S, Khaulenbek A, & Dong GP*. 2024. Trends, turning points, and driving forces of desertification in global arid land based on the segmental trend method and SHAP model. GIScience & Remote Sensing, 61 (1), 2367806. (SCIE 二区 TOP)
28) Yang F, He F*, Wang Y, Zhou S & Dong GP*. 2024. Reconstructing forest cover changes for the middle and lower reaches of the Yellow River over the past millennium. Regional Environmental Change, https://doi.org/10.1007/s10113-024-02183-x. (JCR SSCI 二区)
29) Li X, Ma J, Cheng Y, & Dong GP*. 2023. The relationship between extreme ambient temperature and small for gestational age: A cohort study of 1,436,480 singleton term births in China, Environmental Research, 232, https://doi.org/10.1016/j.envres.2023.116412 (SCIE 一区 TOP)
30) Zhang, Hongjuan, Zhicheng Zhang, Kang Liu*, Chunbo Huang, and Dong GP*. Integrating land use management with trade-offs between ecosystem services: A framework and application. Ecological Indicators 149 (2023): 110193. (SCIE 二区 TOP)
31) JingluSong, Rishikesh Pandey, Dong GP et al. 2022. Urban-Rural Disparity in Community
Resilience: A Multilevel Analysis of the Relief Progress after the 2015 Nepal Earthquake,
Sustainable Cities and Society, 79, https://doi.org/10.1016/j.scs.2022.103698 (SCIE 一区 TOP)
32) Zhang H, Zhang Z, Dong GP et al. 2021. Identifying the supply-demand mismatches of ecorecreation services to optimize sustainable land use management: A case study in the Fenghe River watershed, China. Ecological Indicators, 133, (SCIE 二区 TOP)
https://doi.org/10.1016/j.ecolind.2021.108424
33) Wu W, Dong G P*, Sun Y, Yun Y. Contextualized effects of park access and usage on residential satisfaction: a spatial approach. Land Use Policy, 2020, 94, (JCR SSCI 一区) https://doi.org/10.1016/j.landusepol.2020.104532.
34) Ma J, Liu B, Mitchell G, Dong GP*. A spatial analysis of air pollution and environmental inequality in Beijing. Journal of Environmental Planning and Management, 2019, 62, 2437-2458. (JCR SSCI 二区)
35) Dang Y, Dong G P*, Chen Y, Zhang W Z & Jones K. Residential Environment and
Subjective Well-being in Beijing: A Fine-grained Spatial Scale Analysis using a Bivariate Response Binomial Multilevel Model. Environment and Planning B: Urban Analytics and
City Science, 2019,46, 648-667. (JCR SSCI 二区)
36) Dang Y, Chen Y & Dong G P*. Settlement intention of migrants in the Yangtze River Delta,
China: The importance of city-scale contextual effects. Population, Space and Place, 2019,
25 (8), e2270. https://doi.org/10.1002/psp.2270. (JCR SSCI 二区)
37) Liu Q, Wang S, Zhang W, Li J, Dong G P. The effect of natural and anthropogenic factors on
PM2. 5: Empirical evidence from Chinese cities with different income levels. Science of the Total Environment, 2019, 653: 157-167. (SCIE 一区 TOP)
38) Chen Y, Dang Y, Dong G P. An investigation of migrants’ residential satisfaction in Beijing. Urban Studies, 2019, https://doi.org/10.1177/0042098019836918. (JCR SSCI 一区)
39) Dean N, Dong G P*, Piekut A, Pryce G. Frontiers in residential segregation: Understanding neighbourhood boundaries and their impacts. Journal of Economic and Social Geography (Tijdschrift voor Economische en Sociale Geografie), 2019, 110,271-288. (JCR SSCI 一区)
40) Ma, J, Dong G P*, Chen Y and Zhang W Z. Does satisfactory neighbourhood environment lead to a satisfying life? An investigation of the association between neighbourhood environment and life satisfaction in Beijing. Cities, 2018, 74, 229-239. (JCR SSCI 一区)
41) Wu W, Dong G P and Zhang W. The puzzling heterogeneity of amenity capitalization effects on land markets. Papers in Regional Science, 2017, 96, 135-153.
42) Dong G P and Wu W. Schools, Land markets and spatial effects. Land Use Policy, 2016, 59, 366-374. (JCR SSCI 一区)
43) Wu W, Dong G P, Wang, B. Does Planning Matter? Effects on Land Markets. Journal of Real Estate and Finance Economics, 2015, 50, 242-269.
44) 董冠鹏, 张航, 郭雨臣. 基于空间计量模型的城市网络外部性定量测度. 地理研究,
2023,42(2): 495–513.`
45) 党云晓,董冠鹏,余建辉,张文忠,谌丽.北京土地利用混合度对居民职住分离的影响[J]. 地理学报, 2015, 70(06): 919-930.
46) 余建辉,董冠鹏,张文忠,谌丽,党云晓.北京市居民居住—就业选择的协同性研究[J]. 地理学报, 2014, 69(02): 147-155.
47) 董冠鹏,张文忠,武文杰,郭腾云.北京城市住宅土地市场空间异质性模拟与预测[J]. 地理学报, 2011, 66(06): 750-760. [科技论文 F5000 获奖论文]
48) 董冠鹏,郭腾云,马静.京津冀都市区经济增长空间分异的 GIS 分析[J].地球信息科学学报,2010, 12(06): 797-805.
49) 孙威,董冠鹏.基于 DEA 模型的中国资源型城市效率及其变化[J].地理研究, 2010, 29:2155-2165.
50) 董冠鹏,郭腾云,马静.中国区域经济波动与经济增长关系[J].地理科学进展, 2010, 29(10):1233-1238.
