师资队伍

刘勇

刘勇

系所:房地产系

职称:教授、博士生导师

现任职务:

办公房间:学院楼402

邮箱:liuyong80@cqu.edu.cn

办公电话:

教育经历

2005-2008年,浙江大学,公共管理学院,土地资源管理,博士

2002-2005年,西南大学,资源环境学院,土地资源管理,硕士

1998-2002年,西南大学,资源环境学院,土地规划与利用,学士

工作经历

2020.10-至今,重庆大学,管理科学与房地产学院,教授

2017.07-2020.09,重庆大学,管理科学与房地产学院,副教授

2012.08-2013.08,美国北卡罗莱纳大学教堂山分校,城市与区域规划系,访问学者

2010.07-2017.06,西南大学,资源环境学院,副教授

2009.01-2013.01,西南大学,资源环境学院,博士后

2008.07-2010.06,西南大学,资源环境学院,特聘副教授


兼职职务

担任中国土地学会青年工作委员会委员、重庆市规划与自然资源局评审专家、重庆市国土资源和房地产学会理事

担任《Landscape and Urban Planning》、《Urban Studies》、《Land Use Policy》、《Cities》、《Habitat International》等国际学术期刊的评审专家


开设课程

大数据与城市研究、土地经济学、城市经济学、城市规划、城市土地利用与管理、GIS空间分析与应用、专业英语

研究专长

土地管理、空间规划、城市地理、城市生态


代表性成果

专著

[1]   刘勇. 平原与山地城市的多中心开发及其环境绩效研究 [M]. 北京: 科学出版社, 2023.

[2]   刘勇, 岳文泽, 范蓓蕾. 快速城市化下的土地利用:格局、效应与政策 [M]. 北京: 科学出版社, 2019.

 

国际期刊论文(按时间排序)

通讯/一作:

[1]    Zhou Z., Liu Y. Surface urban heat island disparities and the role of urban form across the urban-rural gradient [J]. Environmental Impact Assessment Review, 2026, 116, 108144.

[2]    Zhang Y., Liu Y., Li Y., Chu J., Yang Q. Nonlinear and spatial non-stationary effects of land finance on urban expansion at the county level in China: Insights from explainable spatial machine learning [J]. Cities, 2025, 160, 105850.

[3]    Yang W., Zhang G., Liu Y., An Z. Heat exposure assessment and comfort path recommendations for leisure jogging based on street view imagery and GPS trajectories [J]. Sustainable Cities and Society, 2025, 119, 106099.

[4]    Yang Q., Wang J., Liu Y., Zhang Y., Yue W. Containing urban sprawl in China: A cross-city evaluation of urban development boundaries using U-Net deep learning [J]. Habitat International, 2025, 164, 103534.

[5]    Wu H., Zhang G., Liu Y., Ming Y. Addressing neighborhood effect averaging problem: Distinguishing mobility-based and residence-based heat exposure [J]. Building and Environment, 2025, 280, 113139.

[6]    Liu Y., Sun Y., Ming Y. Nonlinear and interacting influence of 2D/3D factors on park cooling effect in China using Gradient Boosting Decision Tree and Shapely [J]. Building and Environment, 2025, 279, 113066.

[7]    Liu Y., Du X., Yang W., Zhang G. Disparities in dynamic green exposure across residents’ mobility patterns: A case study in Chengdu [J]. Urban Forestry & Urban Greening, 2025, 112, 128978.

[8]    An Z., Ming Y., Liu Y., Zhang G. Investigating 2D/3D factors influencing surface urban heat islands in mountainous cities using explainable machine learning [J]. Urban Climate, 2025, 59, 102325.

[9]    Zhang Y., Liu Y., Yang Q., Yue W. Assessing performance and disparities in China’s land finance transition: Insights from neo-liberalism and neo-Marxism [J]. Land Use Policy, 2024, 146, 107306.

[10] Yue W., Xia H., Liu Y., Xu J., Xiong J. Assessing ecological conservation redline from element, structure, and function dimensions: A case of Zhejiang Province, China [J]. Environmental Impact Assessment Review, 2024, 106, 107485.

[11] Yang W., Li Y., Liu Y., Fan P., Yue W. Environmental factors for outdoor jogging in Beijing: Insights from using explainable spatial machine learning and massive trajectory data [J]. Landscape and Urban Planning, 2024, 243, 104969.

[12] Wu H., Ming Y., Liu Y. Investigating the influence of morphologic and functional polycentric structures on urban heat island: A case of Chongqing, China [J]. Sustainable Cities and Society, 2024, 114, 105790.

[13] Ming Y., Liu Y., Liu X., Tian Z. Demographic disparity in diurnal surface urban heat island exposure across local climate zones: A case study of Chongqing, China [J]. Science of The Total Environment, 2024, 923, 171203.

[14] Ming Y., Liu Y., Li Y., Yue W. Core-periphery disparity in community vitality in Chongqing, China: Nonlinear explanation based on mobile phone data and multi-scale factors [J]. Applied Geography, 2024, 164, 103222.

[15] Ming Y., Liu Y., Li Y., Song Y. Unraveling nonlinear and spatial non-stationary effects of urban form on surface urban heat islands using explainable spatial machine learning [J]. Computers, Environment and Urban Systems, 2024, 114, 102200.

[16] Luo C., Yu H., Liu Y., Yang W. Supply and demand assessment of physical activity services provided by urban green spaces: A case study of Chongqing, China [J]. Urban Forestry & Urban Greening, 2024, 95, 128315.

[17] Liu Y., Zhang G., Yang W. Dynamic estimation of urban heat exposure for outdoor jogging: Combining individual trajectory and mean radiant temperature [J]. Urban Climate, 2024, 55, 101871.

[18] Liu Y., He L., Wang J., Zhang Y., Yang Q. Deep learning analysis of urban growth boundaries: An evaluation of effectiveness in mitigating urban sprawl in China [J]. Journal of Urban Planning and Development, 2024, 150(1), 04023058.

[19] Liu Y., An Z., Ming Y. Simulating influences of land use/land cover composition and configuration on urban heat island using machine learning [J]. Sustainable Cities and Society, 2024, 108, 105482.

[20] Zhang Y., Wang J., Liu Y., Yue W. Quantifying multiple effects of land finance on urban sprawl: Empirical study on 284 prefectural-level cities in China [J]. Environmental Impact Assessment Review, 2023, 101, 107156.

[21] Yue W., Xiong J., Liu Y., Xia H. Ecosystem services dynamics towards SDGs in the Belt and Road Initiative cities [J]. Progress in Physical Geography: Earth and Environment, 2023, 47(3), 395-413.

[22] Yue W., Wei J., Liu Y., Wang T., Zhang H. Investigating Intra-urban Functional Polycentricity from a Linkage Perspective: the Case of Changsha, China [J]. Journal of Geovisualization and Spatial Analysis, 2023, 7(1), 1.

[23] Yang W., Hu J., Liu Y., Guo W. Examining the influence of neighborhood and street-level built environment on fitness jogging in Chengdu, China: A massive GPS trajectory data analysis [J]. Journal of Transport Geography, 2023, 108, 103575.

[24] Tian Z., Wang Q., Liu Y., Wang Z. Comparison of the tourist mobility patterns among demographic subgroups with mobile phone data: A case study of Chongqing, China [J]. Applied Geography, 2023, 159, 103090.

[25] Ming Y., Liu Y., Gu J., Wang J., Liu X. Nonlinear effects of urban and industrial forms on surface urban heat island: Evidence from 162 Chinese prefecture-level cities [J]. Sustainable Cities and Society, 2023, 89, 104350.

[26] Liu Y., Lu A., Yang W., Tian Z. Investigating factors influencing park visit flows and duration using mobile phone signaling data [J]. Urban Forestry & Urban Greening, 2023, 85, 127952.

[27] Liu Y., Li Y., Yang W., Hu J. Exploring nonlinear effects of built environment on jogging behavior using random forest [J]. Applied Geography, 2023, 156, 102990.

[28] Zhang Z., Liu Y., Liu G. Rethinking growth coalition in urban village redevelopment: An empirical study of three villages in Zhuhai, China [J]. Habitat International, 2022, 121, 102529.

[29] Ming Y., Liu Y., Liu X. Spatial pattern of anthropogenic heat flux in monocentric and polycentric cities: The case of Chengdu and Chongqing [J]. Sustainable Cities and Society, 2022, 78, 103628.

[30] Liu Y., Su H., Gu J., Tian Z., Li K. Quantifying multiple effects of industrial patterns on air quality: Evidence from 284 prefecture-level cities in China [J]. Ecological Indicators, 2022, 145, 109722.

[31] Liu Y., Hu J., Yang W., Luo C. Effects of urban park environment on recreational jogging activity based on trajectory data: A case of Chongqing, China [J]. Urban Forestry & Urban Greening, 2022, 67, 127443.

[32] Liu X., Ming Y., Liu Y., Yue W., Han G. Influences of landform and urban form factors on urban heat island: Comparative case study between Chengdu and Chongqing [J]. Science of The Total Environment, 2022, 820, 153395.

[33] Yue W., Chen Y., Thy P. T. M., Fan P., Liu Y., Zhang W. Identifying urban vitality in metropolitan areas of developing countries from a comparative perspective: Ho Chi Minh City versus Shanghai [J]. Sustainable Cities and Society, 2021, 65, 102609.

[34] Liu Y., Zhao W., Liao R., Wang C. Process analysis of inter-governmental negotiation in delineating permanent prime farmland around cities: The case of Chongqing, China [J]. Land Use Policy, 2021, 111, 105747.

[35] Yue W. Z., Wang T. Y., Liu Y., Zhang Q., Ye X. Y. Mismatch of morphological and functional polycentricity in Chinese cities: An evidence from land development and functional linkage [J]. Land Use Policy, 2019, 88, 104176.

[36] Zhang L. L., Yue W. Z., Liu Y., Fan P. L., Wei Y. H. D. Suburban industrial land development in transitional China: Spatial restructuring and determinants [J]. Cities, 2018, 78, 96-107.

[37] Liu Y., Fan P. L., Yue W. Z., Song Y. Impacts of land finance on urban sprawl in China: The case of Chongqing [J]. Land Use Policy, 2018, 72, 420-432.

[38] Liu Y., Yue W. Z., Fan P. L., Zhang Z. T., Huang J. N. Assessing the urban environmental quality of mountainous cities: A case study in Chongqing, China [J]. Ecological Indicators, 2017, 81, 132-145.

[39] Yue W. Z., Zhang L. L., Liu Y. Measuring sprawl in large Chinese cities along the Yangtze River via combined single and multidimensional metrics [J]. Habitat International, 2016, 57, 43-52.

[40] Liu Y., Yue W. Z., Fan P. L., Peng Y., Zhang Z. T. Financing China's Suburbanization: Capital Accumulation through Suburban Land Development in Hangzhou [J]. International Journal of Urban and Regional Research, 2016, 40(6), 1112-1133.

[41] Liu Y., Yue W. Z., Fan P. L., Song Y. Suburban residential development in the era of market-oriented land reform: The case of Hangzhou, China [J]. Land Use Policy, 2015, 42, 233-243.

[42] Yue W. Z., Liu Y., Fan P. L. Measuring urban sprawl and its drivers in large Chinese cities: The case of Hangzhou [J]. Land Use Policy, 2013, 31, 358-370.


国内期刊论文(按时间排序)

[1]    杨伟, 胡洁, 刘勇. 众源地理信息支持下的建成环境与户外慢跑关联交互 [J]. 风景园林, 2024, 31(4), 44-52.

[2]    明雨佳, 刘勇, 周佳松. 基于大数据的山地城市活力评价——以重庆主城区为例 [J]. 资源科学, 2020, 42(04), 710-722.

[3]    章征涛, 刘勇. 城中村改造中的“增长联盟”研究——以珠海市山场村为例 [J]. 城市规划, 2019, 43(07), 60-66.

[4]    岳文泽, 章佳民, 刘勇, 张玮. 多源空间数据整合视角下的城市开发强度研究 [J]. 生态学报, 2019, 39(21), 7914-7926.

[5]    段亚明, 刘勇, 刘秀华, 何东. 基于宜出行大数据的多中心空间结构分析——以重庆主城区为例 [J]. 地理科学进展, 2019, 38(12), 1957-1967.

[6]    段亚明, 刘勇, 刘秀华, 王红蕾. 基于POI大数据的重庆主城区多中心识别 [J]. 自然资源学报, 2018, 33(5), 70-82.

[7]    陈吉煜, 刘勇, 何东. 山地城市的蔓延特征分析——以重庆主城区为例 [J]. 山地学报, 2018(36), 432-440.

[8]    张亮, 岳文泽, 刘勇. 多中心城市空间结构的多维识别研究——以杭州为例 [J]. 经济地理, 2017, 37(6), 67-75.

[9]    李颖丽, 刘勇, 刘秀华. 重庆市主城区住房价格影响因子的空间异质性 [J]. 资源科学, 2017, 39(2), 335-345.

[10] 章征涛, 刘勇, 王一波, 陈德绩. 资本积累视角下城市郊区化机制及效应探析 [J]. 城市发展研究, 2016, 23(6), 59-60.

科研项目

主持

[1]    国家自然科学基金面上项目:城镇开发边界管控与多中心开发的互馈机制与协同路径:以成渝为例(42571316),2026-2029年,在研.

[2]    国家自然科学基金面上项目:土地财政转型视角下城市蔓延响应特征及治理策略研究(71974022),2020-2023年,已结题.

[3]    国家自然科学基金面上项目:西部平原城市与山地城市多中心开发的环境绩效比较研究:以成都和重庆为例(41771534),2018-2021年,已结题.

[4]    国家自然科学基金青年项目:典型山地城市多中心开发的生态效应研究-以重庆市为例(41101568),2012-2014年,已结题.

[5]    教育部人文社会科学研究规划基金项目:高温驱动下城乡人群流动与山区乡村振兴的互馈机制研究,2025-2028年,在研.

[6]    重庆市自然科学基金面上项目:“流空间”视角下城市居民复杂流动模式与动态高温暴露研究:以成渝为例(CSTB2024NSCQ-MSX1042),2024-2027年,在研.

[7]    重庆市社会科学规划项目:基于大数据的山地城市多中心空间绩效研究(2021YC020),2021-2022年,已结题.

[8]    重庆市自然科学基金项目:基于智能体模型的山地城市多中心格局模拟以重庆市为例(cstcjjA00008),2012-2014年,已结题.

[9]    中国博士后基金项目:多中心城市土地利用格局的演变分析与模拟(20100470805),2010-2012年,已结题.

[10] 教育部博士点基金项目:基于遥感模型的快速城市化地区土壤碳库动态变化研究(20090182120024),2010-2012年,已结题.

获奖情况

2022年,获重庆市第十一次社会科学优秀成果二等奖

2019年,获重庆英才·青年拔尖人才

2020年,获重庆大学优秀工作者称号

2018年,获重庆大学优秀党员称号