王少劍，男，漢族，1987年生，河南駐馬店人，博士，廣東省特支計畫科技創新青年拔尖人才，珠江科技新星，現任中山大學地理科學與規劃學院副教授，研究生導師。主要從事城市地理、城市化與城市規劃等方面的研究與教學工作，在城鎮化過程與生態環境的耦合機理、城鎮化過程與碳排放的作用機理及生態環境效應以及不同尺度區域差異研究等方面有較為深入的研究。擔任《Applied Energy》、《Journal of Cleaner Production》、《Environment International》、《Urban Studies》、《Cities》、《Habitat International》、《Ecological Indicators》、《Chinese Geographical Sciences》、《地理學報》、《地理研究》、《地理科學》等期刊通訊外審專家。
基本介紹
- 中文名：王少劍
- 職業：教師
- 畢業院校：中國科學院地理科學與資源研究所
- 學位/學歷：博士
- 職務：研究生導師
- 職稱：副教授
研究方向,人物經歷,教育經歷,工作經歷,社會任職,講授課程,學術成果,論著專利,科研項目,獲獎記錄,
研究方向
領域：城市地理、城市化與城市規劃；
方向：城鎮化與碳排放的作用機理及生態環境效應、低碳城市與土地利用、空間最佳化與政策模擬、多尺度區域經濟差異；
人物經歷
教育經歷
2012年6月於中山大學地理科學與規劃學院獲人文地理碩士學位，2015年6月於中國科學院地理科學與資源研究所獲人文地理學博士學位（導師方創琳研究員）。
工作經歷
2015年7月至2017年12月，中山大學地理科學與規劃學院 城市與區域規劃系 講師/碩士生導師
2017年12月至2018年3月 美國University of Maryland, College Park, 地理系訪問學者(合作導師：Laixiang Sun院士和Klaus Hubacek教授)
2017年12月至今，中山大學地理科學與規劃學院 城市與區域規劃系 副教授/研究生導師
2018年10月至2019年9月，美國麻省理工學院(MIT)城市研究與規劃系(DUSP)中國未來城市實驗室(CFC)訪問學者(合作導師: Siqi Zheng 教授）
社會任職
國際期刊Journal of Geographical Research編輯
國際期刊Journal of Environmental Management客座主編
國際期刊Sustainability (SSCI)客座主編
國際期刊Scientifica客座主編
中國地理學會城市地理專業委員會委員
中國地理學會城市與區域管理專業委員會委員
中國地理學會人文地理專業委員會委員
中國地理學會會員
講授課程
研究生課程：人文地理學 （導師組）
本科生課程：人文地理學，城市地理學、社會調查研究方法、文獻檢索與論文寫作
學術成果
論著專利
*(Corresponding author)
96.Wang SJ, Fang CL, Sun LX, Su YX, Chen XZ, Zhou CS, Feng KS, Hubacek K. Decarbonizing China’s Urban agglomerations. Annals of the American Association of Geographers, 2019, 109: 266-285. (SSCI, IF=2.78)
95. Wang JY, Wang SJ*, Li SJ. Examining the spatially varying effects of factors on PM2.5 concentrations in Chinese cities using geographically weighted regression modeling. Environmental Pollution, 2019, 248, 792-803. (SSCI, IF=4.36)
94. Zhao YB, Liu XF, Wang SJ*, Ge YJ. Energy relations between China and the countries along the Belt and Road: An analysis of the distribution of energy resources and interdependence relationships. Renewable and Sustainable Energy Reviews, 2019, 107, 133-144. (SCI, IF=9.2)
93.Wang SJ, J Zeng, X Liu. Examining the multiple impacts of technological progress on CO2 emissions in China: A panel quantile regression approach. Renewable and Sustainable Energy Reviews, 2019, 103, 140-150. (SCI, IF=9.2)
92. Wang SJ, Wang JY, Fang CL, Li SJ. Estimating the impacts of urban form on CO2 emission efficiency in the Pearl River Delta, China. Cities, 2019,85: 117- 129. (SSCI, IF=2.7)
91.Wang SJ, J Wang, S Li, C Fang, K Feng. Socioeconomic driving forces and scenario simulation of CO2 emissions for a fast-developing region in China. Journal of Cleaner Production, 2019, 216:217-229.(SCI, IF=5.65)
90. Wang SJ, Wang JY, Zhou YQ. Estimating the effects of socioeconomic structure on CO2 emissions in China using an econometric analysis framework. Structural Change and Economic Dynamics, 2019, 47: 18-27. (SSCI, IF=1.54).
89. Wang SJ, Shi CY, Fang CL, Feng KS. Examining the spatial variations of determinants of energy-related CO2 emissions in China at the city level using Geographically Weighted Regression Model. Applied Energy, 2019, 235: 95-105. (SCI, IF=7.9)
88.Wang SJ, Y Huang, Y Zhou. Spatial spillover effect and driving forces of carbon emission intensity at the city level in China. Journal of Geographical Sciences, 2019, 29 (2), 231-252.
87. Liu Q,Wang SJ*, Zhang W, Li J, Dong G. 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.(SCI, IF=4.6)
86. Liu Q, Wang SJ*, Zhang W, Li J, Kong Y. Examining the effects of income inequality on CO2 emissions: Evidence from non-spatial and spatial perspectives. Applied Energy, 2019, 236, 163-171.(SCI, IF=7.9)
85. Li S, Wang SJ*. Examining the effects of socioeconomic development on China's carbon productivity: A panel data analysis. Science of The Total Environment, 2019, 659, 681-690.(SCI, IF=4.6)
84. Wang J, Wang SJ*, Li S, Cai Q, Gao S. Evaluating the energy-environment efficiency and its determinants in Guangdong using a slack-based measure with environmental undesirable outputs and panel data model. Science of the Total Environment, 2019, 663: 878-888.(SCI, IF=4.6)
83. Li S, Zhou C, Wang SJ*. Does modernization affect carbon dioxide emissions? A panel data analysis. Science of the Total Environment, 2019,663:426-435.(SCI, IF=4.6)
82. Liu QQ, Wang SJ*, Zhang WZ, Li JM, Dong GP. 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.(SCI, IF=4.6)
81. Ma HT, Sun W, Wang SJ*, Kang Lei. Structural contribution and scenario simulation of highway passenger transit carbon emissions in the Beijing-Tianjin-Hebei metropolitan region, China. Resources, Conservation and Recycling, 2019, 140: 209-215. (SCI, IF=5.12)
80. Li S, Zhou C, Wang SJ*, S Gao, Liu Z. Spatial Heterogeneity in the Determinants of Urban Form: An Analysis of Chinese Cities with a GWR Approach. Sustainability 11 (2), 479.(SSCI, IF=2.0)
79. Liu XP, Ou JP, Chen YM, Wang SJ, Li X, Jiao LM, Liu YL. Scenario simulation of urban energy-related CO2 emissions by coupling the socioeconomic factors and spatial structures. Applied Energy, 2019, 238: 1163-1178.(SCI, IF=7.9)
78. Wang SJ, Li GD, Fang CL. Urbanization, economic growth, energy consumption, and CO2 emissions: Empirical evidence from countries with different income levels. Renewable & Sustainable Energy Reviews, 2018, 81: 2144-2159. (SCI, IF=9.2)
77. Wang SJ, Zeng JY, Huang YY. The effects of urbanization on CO2 emissions in the Pearl River Delta: a comprehensive assessment and panel data analysis. Applied Energy, 2018, 228: 1693-1706. (SCI, IF=7.9)
76. Chen J, Zhou CS,Wang SJ*, Li SJ. Impacts of energy consumption structure, energy intensity, economic growth, urbanization on PM2.5 concentrations in countries globally. Applied Energy, 2018, 230(15): 94-105. (SCI, IF=7.9)
75. Li SJ, Zhou CS, Wang SJ*, Hu JC. Dose urban landscape pattern affect CO2 emission efficiency? Empirical evidence from megacities in China. Journal of Cleaner Production, 2018, 203: 164-178. (SCI, IF=5.65)
74.Wang SJ, Liu XP, Yang X, Zou N, Wang JY. Spatial variations of PM2.5 in Chinese cities for the joint impacts of human activities and natural conditions: A global and local regression perspective. Journal of Cleaner Production, 2018, 203: 143-152. (SCI, IF=5.65)
73. Wang SJ, Zhou CS. Examining the determinants and the spatial nexus of city-level CO2 emissions in China: A dynamic spatial panel analysis of China's cities. Journal of Cleaner Production, 2018, 171: 917-926. (SCI, IF=5.65)
72. Liu QQ, Wang SJ*, Zhang WZ, Li JM. Income distribution and environmental quality in China: A spatial econometric perspective. Journal of Cleaner Production, 2018, 205, 14-26. (SCI, IF=5.65)
71. Wang SJ, Wang JY, Wang Y. Effect of land prices on the spatial differentiation of housing prices: Evidence from cross-county analysis in China. Journal of Geographical Sciences, 2018, 28(6): 725-740. (SCI, IF=2.36)
70. Zhou CS, Li SJ, Wang SJ*. Examining the Impacts of Urban Form on Air Pollution in Developing Countries: A Case Study of China’s Megacities. International Journal of Environmental Research and Public Health, 2018, 15, 1565. (SCI, IF=2.6)
69. Zhou CS, Wang SJ*, Feng KS. Examining the socioeconomic determinants of CO2 emissions in China: A historical and prospective analysis. Resources, Conservation & Recycling, 2018, 130: 1-11. (SCI, IF=5.2)
68. Chen J, Zhou CS, Wang SJ*, Hu JC. Identifying the socioeconomic determinants of population exposure to particulate matter (PM2.5) in China using geographically weighted regression modeling. Environmental Pollution, 2018, 241: 494-503. (SCI, IF=5.0)
67. Zhou CS, Shi CY, Wang SJ*, Zhang GJ. Estimation of eco-efficiency and its influencing factors in Guangdong province based on Super-SBM and panel regression models. Ecological Indicators, 2018, 86: 67-80. (SCI, IF=3.9)
66. Liu QQ, Wang SJ*, Zhang WZ, Zhan DS, Li JM. Does foreign direct investment affect environmental pollution in China's cities? A spatial econometric perspective. Science of the Total Environment, 2018, 613: 521-529. (SCI, IF=5.0)
65. Zhou CS, Chen J, Wang SJ*. Examining the effects of socioeconomic development on fine particulate matter (PM2.5) in China's cities using spatial regression and the geographical detector technique. Science of the Total Environment, 2018, 619: 436-445. (SCI, IF=5.0)
64. Zhou CS, Chen J, Wang SJ*. Does Migrant Status and Household Registration Matter? Examining the Effects of City Size on Self-Rated Health. Sustainability, 2018, 10:2204. （SSCI, IF=2.0）
63. Yang WY, Wang SJ*, Zhao XM. Measuring the Direct and Indirect Effects of Neighborhood-Built Environments on Travel-related CO2 Emissions: A Structural Equation Modeling Approach. Sustainability, 2018, 10:1372. （SSCI, IF=2.0）
62. Liu XP, Ou JP, Wang SJ, Li X, Yan YC, Liao YM, Liu YL. Estimating spatiotemporal variations of city-level energy-related CO2 emissions: An improved disaggregating model based on vegetation adjusted nighttime light data. Journal of Cleaner Production, 2018, 177, 101-114. (SCI, IF=5.65)
61. Liu XP, Hu GH, Chen YM, Li X, Xu XC, Li SY, Pei FS, Wang SJ. High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform. Remote sensing of Environment, 2018, 209: 227-239. (SCI, IF=6.6)
60. Wang SJ, Liu XP, Zhou CS, Hu JC, Ou JP. Examining the impacts of socioeconomic factors, urban form, and transportation networks on CO2 emissions in China’s megacities. Applied Energy, 2017, 185, 189-200. (SCI, IF=7.9)
59.Wang SJ, Liu XP. China’s city-level energy-related CO2 emissions: Spatio-temporal patterns and driving forces. Applied Energy, 2017, 200(15): 204-214. (SCI, IF=7.9).
58. Wang SJ, Zhou CS, Wang ZB, Feng KS, Hubacek K. The characteristics and drivers of fine particulate matter (PM2.5) distribution in China. Journal of Cleaner Production, 2017,142, 1800-1809. (SCI, IF=5.65)
57. Wang SJ, Su YX, Zhao YB. Regional inequality, spatial spillover effects and influencing factors of China’s city-level energy-related carbon emissions. Journal of Geographical Sciences, 2017. (SCI=2.36)
56.Yang X, Wang SJ*, Zhang WZ, Yu JH. Are the temporal variation and spatial variation of ambient SO2 concentrations determined by different factors? Journal of Cleaner Production, 2017, 167, 824-836. (SCI, IF=5.65)
55.Zhao YB, Wang SJ*, Ge YJ, Liu QQ, Liu XF. The spatial differentiation of the coupling relationship between urbanization and the eco-environment in countries globally: a comprehensive assessment. Ecological Modelling, 2017, 360: 313-327. (SCI, IF=2.36).
54.Liu QQ, Wang SJ*, Zhang WZ, Zhao YB. China’s municipal public infrastructure: Estimating construction levels and investment efficiency using the entropy method and a DEA model. Habitat International, 2017, 64: 59-70. (SSCI=2.28).
53.He JQ, Wang SJ*, Liu YY, Ma HT, Liu QQ. Examining the relationship between urbanization and the eco-environment using a coupling analysis: Case study of Shanghai, China. Ecological Indicators, 2017,77:185-193. (SCI, IF= 3.9)
52. Yang X, Wang SJ*, Zhang WZ, Zhan DS, Li JM. The impact of anthropogenic emissions and meteorological conditions on the spatial variation of ambient SO2 concentrations: a panel study of 113 Chinese cities. Science of the Total Environment, 2017, 584: 318-328. (SCI, IF=5.0)
51. Wang Y, Wang SJ*, Li GD, Zhang HO, Jin LX, Su YX, Wu KM. Identifying the determinants of housing prices in China using spatial regression and the geographical detector technique. Applied Geography, 2017, 79, 26-36. (SSCI)
50. Li X, Chen GZ, Liu XP, Xu XC, Wang SJ et al. A New Global Land-Use and Land-Cover Change Product at a 1-km Resolution for 2010 to 2100 Based on Human–Environment Interactions. Annals of the Association of American Geographers, 2017, 107(5): 1040-1059.
49. Liu XP, Liang X, Li X, Xu XC, Ou JP, Chen YM, Li SY, Wang SJ, Pei FS. A future land use simulation model (FLUS) for simulating multiple land use scenarios by coupling human and natural effects. Landscape and Urban Planning, 2017, 168: 94-116. (SSCI, IF=4.56)
48. Zhan DS, Kwan MP, Zhang WZ, Wang SJ, Yu JH. Spatiotemporal Variations and Driving Factors of Air Pollution in China. International Journal of Environmental Research and Public Health, 2017, 14, 1538. (SCI, IF=2.10)
47. Wang SJ, Fang CL, Wang Y. Spatiotemporal variations of energy-related CO2 emissions in China and its influencing factors: An empirical analysis based on provincial panel data. Renewable & Sustainable Energy Reviews, 2016, 55: 505-515. (SCI, IF=9.2)
46. Wang SJ, Li QY, Fang CL, Zhou CS. The relationship between economic growth, energy consumption, and CO2 emissions: Empirical evidence from China. Science of the Total Environment, 2016, 542: 360-371. (SCI, IF=5.0)
45. Wang SJ, Zhou CS, Li GD, Feng KS. CO2, economic growth, and energy consumption in China’s provinces: Investigating the spatiotemporal and econometric characteristics of China’s CO2 emissions. Ecological Indicators, 2016, 69:184-195. (SCI, IF=3.9)
44. Yang X, Wang SJ*, Zhang WZ, Li JM. Impacts of energy consumption, energy structure and treatment technology on SO2 emissions: a multi-scale LMDI decomposition analysis in China. Applied Energy, 2016, 184, 714-726. (SCI, IF=7.9)
43. Li GD, Fang CL, Wang SJ*, Sun Siao. The effect of economic growth, urbanization, and industrialization on fine particulate matter (PM2.5) concentrations in China. Environmental Science & Technology, 2016, 50(21): 11452-11459. (SCI, IF=6.6)
42. Fang CL, Li GD, Wang SJ*. Changing and differentiated urban landscape in China: Spatiotemporal patterns and driving Forces. Environmental Science & Technology, 2016, 50: 2217-2227. (SCI, IF=6.6)
41. Zhao YB, Wang SJ*, Zhou CS. Understanding the relation between urbanization and the eco-environment in China's Yangtze River Delta using an improved EKC model and coupling analysis. Science of the Total Environment, 2016, 571: 862-75. (SCI, IF=5.0)
40. Li GD, Fang CL, Wang SJ*. Exploring spatiotemporal changes in ecosystem-service values and hotspots in China. Science of the Total Environment, 2016, 545: 609-620. (SCI, IF=5.0)
39. Wang SJ, Fang CL, Li GD. Spatiotemporal Characteristics, Determinants and Scenario Analysis of CO2 Emissions in China Using Provincial Panel Data. PLOS One, 2015,10(9): e0138666. (SCI, IF=3.2)
38. Wang SJ, Wang Y. Exploring the Relationship between Urbanization and Carbon Dioxide Emission: A Case Study of China. International Conference on Industrial Technology and Management Science, 2015, 01. (EI)
37. Wang SJ, Fang CL, Wang Y, Huang YB, Ma HT. Quantifying the relationship between urban development intensity and carbon dioxide emissions using a panel data analysis. Ecological Indicators, 2015, 49: 121-131. (SCI, IF=3.9)
36. Fang CL, Wang SJ*, Li GD. Changing urban forms and carbon dioxide emissions in China: A case study of 30 provincial capital cities. Applied Energy, 2015, 158: 519-531. (SCI, IF=7.9)
35. Zhao YB, Wang SJ*. The Relationship between Urbanization, Economic Growth and Energy Consumption in China: An Econometric Perspective Analysis. Sustainability, 2015, 7(5): 5609-5627. (SSCI=1.78)
34. Wang SJ, Fang CL, Guan XL, Pang B. Urbanization, energy consumption, and CO2 emissions in China: a panel data analysis of China’s province. Applied Energy, 2014, 136: 738–749. (SCI, IF=7.9)
33. Wang SJ, Ma HT, Zhao YB. Exploring the Relationship between Urbanization and the Eco-environment–A Case Study of Beijing-Tianjin-Hebei Region. Ecological indicators, 2014, 45: 171–183. (SCI, IF=3.9)
32. Wang SJ, Fang CL, Ma HT, Wang Yang, Qin Jing. Spatial differences and multi-mechanism of carbon footprint based on GWR model in provincial China. Journal of Geographical Sciences, 2014, 24(4): 804-822. (SCI, IF=2.36)
31. Wang Y, Zhao LL, Sobkowiak L, Guan XL, Wang SJ. Impact of urban landscape and environmental externalities on spatial differentiation of housing prices in Yangzhou City. Journal of Geographical Sciences, 2015, 25(9): 1122-1136. (SCI, IF=2.36)
30. Lin XQ. Wang Y, Wang SJ, Wang D. Spatial differences and driving forces of land urbanization in China. Journal of Geographical Sciences, 2015, 25(5): 545-558. (SCI, IF=2.36)
29. Ma HT, Fang CL, Pang B, Wang SJ. Structure of Chinese city network as driven by technological knowledge flows. Chinese Geographical Science, 2015, 25(4): 498-510. (SCI, IF=1.1)
28. Qin J, Fang CL, Wang Y, Li GD, Wang SJ. Evaluation of the three-dimensional urban expansion: A case study of Yangzhou, China. Chinese Geographical Sciences, 2014. (SCI, IF=1.1)
27. 王少劍, 黃永源. 中國城市碳排放強度的空間溢出效應及驅動因素探究. 地理學報, 2019 (待刊)
26. 王少劍，高爽，王宇渠. 基於流空間視角的城市群空間結構研究—以珠三角城市群為例.地理研究，2019（待刊）.
25. 王少劍, 蘇詠嫻, 趙亞博. 中國城市能源消費碳排放的區域差異、空間溢出效應及影響因素分析. 地理學報, 2018, 73(3): 426-440.
24. 王少劍, 王洋, 趙亞博. 1990年以來廣東區域經濟發展的空間溢出效應與驅動力研究. 地理學報, 2015, 70(6): 965-979.
23. 王少劍, 王洋, 藺雪芹, 張虹鷗. 中國縣域住宅價格的空間差異特徵與影響機制. 地理學報, 2016, 71(8): 1329-1342.
22. 王少劍, 劉艷艷, 方創琳. 能源消費CO2排放研究綜述. 地理科學進展, 2015, 34(2): 151-164.
21. 王少劍, 方創琳. 京津冀地區城市化與生態環境互動耦合關係定量測度. 生態學報, 2015, 35(7): 1-14.
20. 王少劍, 王洋, 趙亞博. 廣東區域經濟差異的多尺度與多機制研究.地理科學, 2014, 30(10): 1184-1192.
19. 王少劍, 方創琳, 王洋, 馬海濤, 李秋穎. 廣東省區域經濟差異的方向及影響機制. 地理研究, 2013, 32(12):2244-2256.
18. 方創琳, 王少劍*, 王洋. 中國低碳生態新城新區：現狀、問題及對策. 地理研究, 2016, 35(9): 1601-1614.
17. 周春山, 楊高, 王少劍*. 2000-2010年深圳市農民工集聚空間的演變特徵及影響機制. 地理科學, 2016, 11: 521-530.
16. 劉艷艷, 王少劍*. 珠三角地區城市化與生態環境的互動脅迫關係及耦合協調度. 人文地理, 2015, 03: 64-71.
15. 王洋, 王少劍*, 秦靜.中國城市土地城市化水平與進程的空間評價.地理研究, 2014.33(12): 2228-2238.
14. 金萬福, 王少劍*, 鄧神志, 劉 揚. 網際網路技術套用對零售業空間組織影響研究進展. 人文地理, 2018, 161: 1-10.
13. 陳靜, 周鈺荃, 王少劍*. 基於生態位理論的城市自然－生產－社會系統耦合關係研究—以廣州市為例. 亞熱帶資源與環境學報, 2017, 12(2): 65-75.
12.劉倩倩, 張文忠, 王少劍, 李博, 湛東升. 中國城市市政基礎設施投資效率及對經濟成長的影響. 地理研究, 2017, 36(9): 1627-1640.
11. 李秋穎, 方創琳, 王少劍. 中國省級國土空間利用質量評價：基於“三生空間視角”. 地域研究與開發, 2016, 35(5): 163-169.
10. 李廣東, 方創琳, 王少劍, 張薔. 城鄉用地遙感識別與時空變化研究進展.自然資源學報, 2016, 31(4): 703-718.
9. 王洋, 王德利, 劉麗華, 閆梅, 王少劍. 中國城市住宅價格的空間分化及其土地市場影響. 中國土地科學, 2015, 29(6): 33-40.
8. 王洋, 楊忍, 關興良, 王少劍. 城市住宅價格空間分異的理論基礎及套用路徑. 中國房地產, 2015, 24: 16-27.
7. 李秋穎, 方創琳, 王少劍, 王洋. 山東省人口城鎮化與空間城鎮化協調發展及空間格局. 地域開發與研究, 2015, 34(1): 31-36.
6. 王洋, 李強, 王少劍, 秦靜. 揚州市住宅價格空間分異的影響因素與驅動機制. 地理科學進展, 2014, 33(3): 1-14.
5. 馬海濤, 方創琳, 王少劍. 全球創新型城市的基本特徵及其對中國的啟示. 城市規劃學刊, 2013,1:69-77.
4. 趙亞博, 方創琳, 王少劍. 中亞地區油氣資源開發及對中國油氣進口戰略影響的探討. 乾旱區地理, 2014, 37(5): 1-11.
3. 王洋, 王德利, 王少劍. 中國城市住宅價格的空間分異格局及影響因素. 地理科學, 2013, 33(10): 1157-1165.
2. 一種城市群碳排放績效的核算方法，中國發明專利，CN201510565763.5，2015年
1. 基於Landsat TM和ETM影像的城市形態與碳排放相關關係量算方法，中國發明專利，CN2015105657620，2015年
科研項目
主持科研課題：
1. 國家自然科學基金項目（41601151）碳排放約束下的城市空間模式最佳化研究—以珠江三角洲城市群為例，2017.01-2019.12
2. 珠江科技新星項目：基於長期能源替代規劃系統理論的城市節能減排的路徑與潛力研究。（主持）
3. 國家自科科學基金項目（41701169）多尺度建成環境對居民出行碳排放的影響機理研究-以廣州市為例。合作主持, 2018.01-2020.12
4. 廣東省自然科學基金項目（42030402）城市空間形態與城市碳排放績效的關在線上理及調控政策研究，2016.09-2018.09
5. 中央高校基本科研業務費中山大學青年教師培育項目（37000-31610426）城市能源利用低碳化的路徑與潛力研究—以廣州市為例（2016.01-2017.12）
6. 中山大學青年教師起步資助計畫(37000-31131202) 城市化過程與生態環境效應研究-以廣州市為例 （2015.07-2016.12）
參與科研課題：
4. 廣東省自然科學基金項目（42030402）城市空間形態與城市碳排放績效的關在線上理及調控政策研究，2016.09-2018.09
5. 中央高校基本科研業務費中山大學青年教師培育項目（37000-31610426）城市能源利用低碳化的路徑與潛力研究—以廣州市為例（2016.01-2017.12）
6. 中山大學青年教師起步資助計畫(37000-31131202) 城市化過程與生態環境效應研究-以廣州市為例 （2015.07-2016.12）
參與科研課題：
7. 國家自然科學基金面上項目,41871111,基於環境公正視角的工業園區和鄰近社區的空間關聯與互動機理研究,2019.01-2022.12
9. 國家自然科學基金重大項目：京津冀城市群城鎮化與生態環境互動耦合與脅迫效應，2016-2020
10. 國家自然科學基金重點項目:基於生產要素集聚的中小城鎮發展模式研究，2013-2015
11. 國家社會科學基金重大項目:新型城鎮化背景下中國城市發展的空間格局最佳化研究，2013-2015
12. 國家自然科學基金項目：城市生態-生活-生產空間互動耦合機理與最佳化模擬:以深圳市為例，2016.01-2018,12
13. 國家自然科學基金項目：中國城市間知識行動網路的空間組織與格局演變，2016.01-2018,12
14. 國家自然科學基金項目：城鎮化質量與水資源約束強度的時空耦合機理及協同模式，2016.01-2018,12
15. 中科院重大研究項目課題“中亞礦產資源地緣配置格局及其對我國地緣安全的影響”（2016-2020）
9. 國家自然科學基金重大項目：京津冀城市群城鎮化與生態環境互動耦合與脅迫效應，2016-2020
10. 國家自然科學基金重點項目:基於生產要素集聚的中小城鎮發展模式研究，2013-2015
11. 國家社會科學基金重大項目:新型城鎮化背景下中國城市發展的空間格局最佳化研究，2013-2015
12. 國家自然科學基金項目：城市生態-生活-生產空間互動耦合機理與最佳化模擬:以深圳市為例，2016.01-2018,12
13. 國家自然科學基金項目：中國城市間知識行動網路的空間組織與格局演變，2016.01-2018,12
14. 國家自然科學基金項目：城鎮化質量與水資源約束強度的時空耦合機理及協同模式，2016.01-2018,12
15. 中科院重大研究項目課題“中亞礦產資源地緣配置格局及其對我國地緣安全的影響”（2016-2020）
獲獎記錄
1. 2018年住建部華夏建設科學技術三等獎
2. 2017年廣東省特支計畫科技創新青年拔尖人才
3. 2017年珠江科技新星
4. 2017年榮獲中國科學院百篇優秀博士學位論文
5. 2017年榮獲《Journal of Geographical Sciences》優秀作者獎
6. 2016年榮獲《Journal of Geographical Sciences》優秀作者獎
7. 2016年榮獲中山大學地理科學與規劃學院科技論文獎
8. 2015年榮獲中國科學院院長獎（最高獎）
9. 2015年榮獲北京市優秀畢業生
10. 2015年榮獲中國科學院優秀畢業生
11. 2015年榮獲中國科學院地理科學與資源研究所優秀畢業生
12. 2015年榮獲中國科學院地理科學與資源研究所優秀博士論文
13. 2015年榮獲中國科學院地理科學與資源研究所所長獎
14. 2013年榮獲中國地理學會優秀青年論文獎
