董冠鹏
董冠鹏，男，1985年11月 出生，河南许昌人，河南大学杰出人才特区计划第三层次特聘教授，博导，国家级高层次青年人才，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。
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
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
1. 2019.12—至今，河南大学,杰出人才第三层次特聘教授
2. 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)
3. 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. 国家级高层次青年人才 (2020)
2. 2016年英国经济社会理事会定量社会科学奖Jon Rasbash Memorial Prize
3. 中国地理学会地理模型与地理信息分析专业委员会委员、国际区域研究学会中国分会理事、《地理科学》编委
4. 2018年利物浦大学教学突出贡献奖
5. 英国高等教育协会会士
6. 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（2020-2023，200万元）
2. 主持国家自然科学基金青年项目（2021-2023）
3. 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）
4. 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）
5. 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）
6. 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）
发表的部分主要文章
多尺度时空统计模型开发方面
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
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
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.
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
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.
6) Dong G P and Harris, R. Spatial Autoregressive Models for Geographically Hierarchical Data Structures. Geographical Analysis, 2015, 47, 173-191.
7) 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.
8) 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.
9) Dong G P, Statham T. Geography of broadband faults explored with a Bayesian spatio-temporal statistical model. Applied Geography, 2020, https://doi.org/10.1016/j.apgeog.2020.102308
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.
11) Ma J, Chen Y and Dong G P*. Flexible Spatial Multilevel Modelling of Neighbourhood Satisfaction in Beijing. Professional Geographer, 2018, 70, 11-21.
12) 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.
地理加权建模技术方法与软件开发方面
13) 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)
14) 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.
15) 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.
16) 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
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.
极端天气、环境污染与居民健康和福祉应用研究
18) 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
19) 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
20) 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.
21) 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
22) 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, https://doi.org/10.1016/j.ecolind.2021.108424
23) 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, https://doi.org/10.1016/j.landusepol.2020.104532.
24) 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.
25) 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.
26) 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.
27) 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.
28) Chen Y, Dang Y, Dong G P. An investigation of migrants’ residential satisfaction in Beijing. Urban Studies, 2019, https://doi.org/10.1177/0042098019836918.
29) 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.
30) 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.
31) Baily N, Dong G P*, Minton, J and Pryce, G (2018). Reconsidering the relationship between air pollution and deprivation. International Journal of Environmental Research and Public Health, 15 (4). https://doi.org/10.3390/ijerph15040629
32) 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.
33) Dong G P and Wu W. Schools, Land markets and spatial effects. Land Use Policy, 2016, 59, 366-374.
34) 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.
