开元体育app

秦萧 准聘副教授、博士生导师

Associate Professor Qin xiao

电邮 Email: [email protected]

南京大学开元体育app 准聘副教授/特聘研究员、博士生导师，城市AI与绿色人居环境营造省高校重点实验室副主任、江苏省智慧城市规划与数字治理工程研究中心副主任，中国自然资源学会国土空间规划研究专业委员会副秘书长、中国城市科学研究会城市大数据专业委员会委员、《国土资源科技管理》核心期刊青年编委。主要从事大数据与国土空间规划、城市智慧更新研究。

主持国家自然科学面上基金“基于要素流模拟的城镇低效用地智能识别与优化”和“基于多源要素流大数据的城镇建设用地配置方法研究”、国家自然科学青年基金“多源数据融合的城市功能空间评价与优化策略”等课题多项，参与国家自然科学基金及省部级课题6项。在国内外期刊发表论文70余篇（其中SCI/SSCI论文8篇），参编《基于大数据的城市研究与规划创新方法》等著作3部。

获得自然资源部“自然资源青年科技奖”和”自然资源科技进步一等奖”（序4/15）、教育部“第八届高等学校科学研究优秀成果奖（人文社会科学）三等奖”（序3/5）、中国城市规划学会“中国城市规划学会科技奖三等奖”（序8/15）、中国地理学会“中国城市地理优秀论文特等奖、一等奖”（序1/4）、“城市数据派2016年全国十大城市数据师”等奖项。

He is an associate professor/specially-appointed researcher and PhD supervisor in the School of Architecture and Urban Planning of Nanjing University, deputy director of Key Laboratory of Urban AI and Green Built Environment of Provincial Higher Education Institutes, deputy director of Jiangsu Provincial Engineering Research Center of Smart City Planning and Digital Governance, deputy secretary-general of the Professional Committee of Territory Spatial Planning Research of the Chinese Society of Natural Resources, member of the Professional Committee of Urban Big Data of the Chinese Society of Urban Science, and youth editorial board member of the core journal of Scientific and Technological Management of Land and Resources. He is mainly engaged in the research of big data and territorial spatial planning methods, and urban smart renewal.

He is in charge of the National Natural Science Foundation of China (NSFC) and the National Natural Science Youth Foundation of China (NSYF), including “Intelligent identification and optimization of inefficient urban land use based on element flow simulation”, "Research on urban construction land allocation based on big data of multi-source element flow" and "Spatial evaluation and optimization strategy of urban function with multi-source data fusion". He participated in 6 projects at the National Natural Science Foundation of China and provincial and ministerial level. He has published more than 70 papers in domestic and international journals (including 8 SCI/SSCI papers), and co-edited 3 books including "Innovative Approach to Urban Research and Planning Based on Big Data".

He won numerous awards, including the "Young Scientist Award in Natural Resources" and the "First Prize for Scientific and Technological Progress in Natural Resources" (ranked 4th) from the Ministry of Natural Resources, the "Third Prize for Outstanding Scientific Research Achievements in Humanities and Social Sciences of Universities (8th Edition)" (ranked 3rd) from the Ministry of Education, the "Third Prize for Scientific and Technological Award of China Urban Planning Society" (ranked 8th) from the China Urban Planning Society, the "Outstanding Paper Award (Grand Prize and First Prize)" from the Geographical Society of China (ranked 1st), and the "Top Ten Urban Data Scientists in China 2016" from Urban Data Party.

·《土地利用管理与政策》

Land Use Management and Policies

·《规划数据管理与应用》

Planning Data Management and Application

·《人工智能空间规划》

Spatial Planning for AI

·《城市大数据与智慧规划》

Urban Big Data and Smart Planning

·《未来城市研究导论：理论与方法》

Introduction to Future Cities Research: Theory and Methods

·国家自然科学面上基金“基于要素流模拟的城镇低效用地智能识别与优化”

National Natural Science Foundation of China (NSFC): "Intelligent identification and optimization of inefficient urban land use based on element flow simulation".

·国家自然科学面上基金“多源要素流大数据的城镇建设用地配置方法研究”

      National Natural Science Foundation of China (NSFC): "Research on Urban Construction Land Allocation Method with Multi-source Element Flow Data".

·国家自然科学青年基金“多源数据融合的城市功能空间评价与优化策略”

      National Natural Science Foundation of China (NSFC): "Spatial Evaluation and Optimization Strategy of Urban Function with Multi-source Data Fusion".

·中国博士后科学研究基金面上项目“多源数据融合的城市功能空间优化研究”

      China Postdoctoral Science Research Fund, "Research on the Spatial Optimization of Urban Functions with Multi-source Data Fusion"

·地理空间大数据挖掘与应用湖南省重点实验室开放基金“基于大数据的城市群空间发展格局研究”

      Open Fund of Hunan Provincial Key Laboratory of Geospatial Data Mining and Application "Research on the Spatial Development Pattern of Urban Clusters Based on Big Data".

·Qin X, Zhen F, Guo S, et al. Thinking about the construction of university town from the public bicycle travel of college students: A Chinese empirical study[J]. Travel behaviour and society, 2023, 30: 92-104.

·Qin, X., Zhen, F., Zhang S., Q. Housing space and ICT usage: A cross sectional case study in the Netherlands. Cities, 2021(114): 1-13.

·Qin, X., Zhen, F. Combination of Big and Small Data: An Empirical Study on the Distribution and Factors of Catering Space Popularity in Nanjing, China. Journal of Urban Planning and Development. 2019, 145(1): 0501822.

·Qin, X., Zhen, F., & Zhu, S. J. Centralisation or decentralisation? Impacts of information channels on residential mobility in the information era. Habitat International, 2016, 53, 360-368.

·Zhen Feng, Qin Xiao*, Jiang Yupei, Xu Hui. Effects of community ICT usage on community satisfaction: case study in Nanjing, China. Chinese Geographical Science, 2019,29(5):834-847. (通讯作者)

·Zhen, F., Cao, Y., Qin, X.*, &Wang, B. Delineation of an urban agglomeration boundary based on Sina Weibomicroblog ‘check-in’ data: A case study of the Yangtze River Delta. Cities, 2017(60):180-191.  (通讯作者)

·Zhen, F., Qin, X., Ye X. Y., et al. Analyzing urban development patterns based on the flow analysis method. Cities, 2018.

·Xu F , Zhen F , Qin X , et al. From central place to central flow theory: an exploration of urban catering. Tourism Geographies, 2018(1):1-22.

·秦萧, 张姗琪, 甄峰,等.城市信息技术支持的智慧更新概念框架与技术路径研究——以南京市玄武区为例[J].国际城市规划,2024,39(01):30-40.

·秦萧，李民健，甄峰.基于多源大数据的城市居住用地优化研究：以南京城区为例[J].地理科学, 2023, 43(9):1548-1558.

·秦萧, 甄峰. 基于要素流动的城镇建设用地配置方法框架探讨[J]. 自然资源学报,2022, 37(11): 2774-2788.

·秦萧，甄峰，李亚奇，陈浩. 国土空间规划大数据应用方法框架. 自然资源学报，2019，34(10): 2134-2149.

·秦萧，甄峰，魏宗财. 未来城市研究范式探讨——数据驱动亦或人本驱动. 地理科学, 2019, 39(1):31-40.

·秦萧， 甄峰. 大数与小数据据结合：信息时代城市研究方法探讨. 地理科学，2017，37（3）：321-330.

·秦萧，甄峰.论多源大数据与城市总体规划编制问题.城市与区域规划研究，2017，(4): 136-155.

·甄峰，王波，秦萧，陈映雪，席广亮. 基于大数据的城市研究与规划方法创新. 北京：中国建筑工业出版社, 2015.

·Qin X, Zhen F, Guo S, et al. Thinking about the construction of university town from the public bicycle travel of college students: A Chinese empirical study[J]. Travel behaviour and society, 2023, 30: 92-104.

·Qin, X., Zhen, F., Zhang S., Q. Housing space and ICT usage: A cross sectional case study in the Netherlands. Cities, 2021(114): 1-13.

·Qin, X., Zhen, F. Combination of Big and Small Data: An Empirical Study on the Distribution and Factors of Catering Space Popularity in Nanjing, China. Journal of Urban Planning and Development. 2019, 145(1): 0501822.

·Qin, X., Zhen, F., & Zhu, S. J. Centralisation or decentralisation? Impacts of information channels on residential mobility in the information era. Habitat International, 2016, 53, 360-368.

·Zhen Feng, Qin Xiao*, Jiang Yupei, Xu Hui. Effects of community ICT usage on community satisfaction: case study in Nanjing, China. Chinese Geographical Science, 2019,29(5):834-847. (Corresponding author)

·Zhen, F., Cao, Y., Qin, X.*, &Wang, B. Delineation of an urban agglomeration boundary based on Sina Weibomicroblog ‘check-in’ data: A case study of the Yangtze River Delta. Cities, 2017(60):180-191.  (Corresponding author)

·Zhen, F., Qin, X., Ye X. Y., et al. Analyzing urban development patterns based on the flow analysis method. Cities, 2018.

·Xu F , Zhen F , Qin X , et al. From central place to central flow theory: an exploration of urban catering. Tourism Geographies, 2018(1):1-22.

·Qin X，Zhang S, Zhen F, et al. Research on the Conceptual Framework and Technical Path of Smart Renewal Supported by Urban Information Technology: A Case Study of Xuanwu District in Nanjing[J]. Urban Planning International,2024,39(01):30-40.

·Qin X, Li M, Zhen F. Optimization of urban residential land based on multi-source big data: A case study in Nanjing City[J]. Scientia Geographica Sinica,2023,43(9):1548-1558.

·Qin X, Zhen F. Discussion on urban construction land allocation based on element flow[J]. Journal of Natural Resources, 2022, 37(11): 2774-2788. 

·Qin Xiao, Zhen Feng, Li Yaqi, Chen Hao. Methodological framework of big data application for territorial spatial planning. Journal of Natural Resources, 2019, 34(10): 2134-2149.

·Qin Xiao, Zhen Feng, Wei Zongcai. Exploring the paradigm of future urban research - data-driven or people-driven. Geoscience, 2019, 39(1):31-40.

·Qin Xiao, Zhen Feng. Combining big numbers and small data: exploring urban research methods in the information age. Geoscience, 2017, 37(3):321-330.

·Qin Xiao, Zhen Feng. On Multi-source Big Data and Urban Master Plan Preparation Issues. Urban and Regional Planning Research, 2017, (4): 136-155.

·Yan F, Wang B, Qin XIAO, Chen YINGXUE, and Xi GUANGLANG. Innovation of urban research and planning methods based on big data. Beijing: China Construction Industry Press, 2015.