About

Lingbo Liu,
PostDoc @ Center for Geographic Analysis,
Harvard University.
Email : lingboliu@fas.harvard.edu

Lingbo Liu is a postdoctoral fellow at the Center for Geographic Analysis, Harvard University, leading the development of Geospatial Analytics Extension for KNIME. He was a Lecturer at the Department of Urban Planning, School of Urban Design, Wuhan University, from 2005 to 2022, and earned a PhD in digital urban administration and planning at Wuhan University in 2018. His research uses multi-source data and quantitative models to capture the spatiotemporal features of urban systems and provides decision support for public policy, sustainable urban planning, and design.

CV

EDUCATION

2021-2022 Visiting Scholar, Center for Geographic Analysis, Harvard University
2012-2018 PHD, Digital Urban Administration and Planning, School of Urban Design, Wuhan University
2014-2015 Visiting Scholar, Department of Geography and Anthropology, Louisiana State University (LSU)
2002-2005 Master of Engineering, (Urban Planning & Design), School of Urban Design, Wuhan University
1998-2002 Bachelor of Engineering, (Urban Planning & Design), School of Urban Design, Wuhan University

WORK EXPERIENCE

2022- Postdoc Research Fellow, Center for Geographic Analysis, Harvard University
2016-2022 Deputy Director, Laboratory Center, School of Urban Design, Wuhan University
2008-2022 Lecturer, Department of Urban Planning, School of Urban Design, Wuhan University
2009-2018 Chief Planner, Hainan Huadu Urban Design Institute.Co.Ltd
2005-2008 Assistant Lecturer, Department of Urban Planning, School of Urban Design, Wuhan University

BOOKS

Year Book
2023 Fahui Wang, Lingbo Liu, Computational Methods and GIS Applications in Social Science, 3 Edition, CRC Press, Boca Raton, 2023
2023 Lingbo Liu, Fahui Wang, Computational Methods and GIS Applications in Social Science- KNIME Lab Manual, CRC Press, Boca Raton, 2023
2019 Fahui Wang, Application of GIS and Quantitative Methods in Social and Economic Research (Chinese Version), The Commercial Press
Translator: Lingbo Liu, 2019
2016 Jiandong Peng, Lingbo Liu, Guanghui Zhang, Urban Design Thinking and Expression, China Building Industry Press, 2016 (in Chinese)

ARTICLES

Year Article
2024 Liu, L.; Fu, X.; Kötter, T.; Sturm, K.; Haubold, C.; Guan, W. W.; Bao, S. & Wang, F.. 2024. Geospatial Analytics Extension for KNIME. SoftwareX, 25, 101627. https://doi.org/10.1016/j.softx.2023.101627
Liu, C.; Peng, Z.; Liu, L.; & Wu, H. 2024. Analysis of Spatiotemporal Characteristics and Influencing Factors of Electric Vehicle Charging Based on Multisource Data. ISPRS International Journal of Geo-Information, 13(2), 37. https://doi.org/10.3390/ijgi13020037.
2023 Liu, L.; Alford-Teaster, J.; Onega; T.; Wang, F.. 2023. Refining 2SVCA method for measuring telehealth accessibility of primary care physicians in Baton Rouge, Louisiana. Cities, 138: 104364. https://doi.org/10.1016/j.cities.2023.104364
Wang, F.; Zeng, Y.; Liu, L.; Onega, T.. 2023. Disparities in spatial accessibility of primary care in Louisiana: From physical to virtual accessibility. Frontiers in Public Health, 11:1154574. https://doi.org/10.3389/fpubh.2023.1154574.
Sun, Z.; Kang, D.; Jiao, H.; Yang Y.; Xue, W.; Wu, H.; Liu, L. ; Su, Y.; Peng, Z.. 2023. Spatial and Temporal Evolution of the Characteristics of Spatially Aggregated Elements in an Urban Area: A Case Study of Wuhan, China. ISPRS International Journal of Geo-Information, 12 (11), 448. https://doi.org/10.3390/ijgi12110448.
Wang, K.; Zhang, L.; Cai, M.; Liu, L.; Wu, H.; Peng, Z. Measuring Urban Poverty Spatial by Remote Sensing and Social Sensing Data: A Fine-Scale Empirical Study from Zhengzhou. Remote Sensing. 2023, 15, 381. https://doi.org/10.3390/rs15020381
Wan, L., Chen, J. *, Wu, H., Su, F., Jiang, Q., Ma, L., Chen, H., Peng, Z., Sun, Z., Liu, L.*, & Chen, L. (2023). Deep learning for inflammatory diseases classification based on reflectance confocal microscopy. Journal of the American Academy of Dermatology, 88(5), e283–e284. https://doi.org/10.1016/j.jaad.2022.09.043
Liu, C.; Peng, Z.; Liu, L.; Li, S. Innovation Networks of Science and Technology Firms: Evidence from China. Land, 2023, 12, 1283. https://doi.org/10.3390/land12071283
2022 Liu, L.; Yu, H.; Zhao, J.; Wu, H.; Peng, Z.; Wang, R. Multiscale Effects of Multimodal Public Facilities Accessibility on Housing Prices Based on MGWR: A Case Study of Wuhan, China. ISPRS International Journal of Geo-Information, 2022. 11(1).https://doi.org/10.3390/ijgi11010057
Liu, L.; Wang, R.; Guan, W W.; Bao, S., Yu, H.; Fu, X.; Liu, H. Assessing Reliability of Chinese Geotagged Social Media Data for Spatiotemporal Representation of Human Mobility. ISPRS International Journal of Geo-Information, 2022. 11(2).https://doi.org/10.3390/ijgi11020145
Wang, K., Sun, Z., Cai, M., Liu, L., Wu, H., & Peng, Z. (2022). Impacts of Urban Blue-Green Space on Residents' Health: A Bibliometric Review. International journal of environmental research and public health, 19(23), 16192. https://doi.org/10.3390/ijerph192316192
Chen, L.; Liu, L.; Wu, H.; Peng, Z.; Sun, Z. Change of Residents’ Attitudes and Behaviors toward Urban Green Space Pre- and Post- COVID-19 Pandemic. Land 2022, 11, 1051. https://doi.org/10.3390/land11071051
Wang, R.; Liu, L.; Wu, H.; Peng, Z. Correlation Analysis between Urban Elements and COVID-19 Transmission Using Social Media Data. Int. J. Environ. Res. Public Health 2022, 19, 5208. https://doi.org/10.3390/ijerph19095208
2021 Liu, L.; Peng, Z.; Wu, H. Entropy Models and Their Applications in Urban Studies, City Planning Review.2021,45(12):27-39. (Chinese,2021)
Liu, L.; Hu, T.; Bao, S.; Wu, H.; Peng, Z.; Wang, R. The Spatiotemporal Interaction Effect of COVID-19 Transmission in the United States. ISPRS International Journal of Geo-Information 2021, 10, 387.https://doi.org/10.3390/ijgi10060387
Peng, Z.; Ao, S.; Liu, L. *; Bao, S.; Hu, T.; Wu, H.; Wang, R. Estimating Unreported COVID-19 Cases with a Time-Varying SIR Regression Model. Int. J. Environ. Res. Public Health 2022, 19, 5208. https://doi.org/10.3390/ijerph18031090
Zhao, J.; Peng, Z.; Liu, L. *; Yu, Y.; Yu, Y. Evaluation on the Internal Public Space Quality in Affordable Housing Based on Multi-Source Data and IPA Analysis. Land, 2021. 10(10): p. 1000https://doi.org/10.3390/land10101000
Zhao, J.; Peng, Z.; Liu, L.*; Yu, Y.; Shang, Z. Public Space Layout Optimization in Affordable Housing Based on Social Network Analysis. Land, 2021. 10(9): p. 955https://doi.org/10.3390/land10090955
Peng, Z., Bai, G., Wu, H., Liu, L., & Yu, Y. (2021). Travel mode recognition of urban residents using mobile phone data and MapAPI. Environment and Planning B: Urban Analytics and City Science, 48(9), 2574–2589. https://doi.org/10.1177/2399808320983001
Sun, Z.; Jiao, H.; Wu, H.; Peng, Z.; Liu, L.. Block2vec: An Approach for Identifying Urban Functional Regions by Integrating Sentence Embedding Model and Points of Interest. ISPRS Int. J. Geo-Inf. 2021, 10, 339. https://doi.org/10.3390/ijgi10050339
Xiong, X.; Liu, L.; Peng, Z.; Wu, H. Physical Activities in Public Squares: The Impact of Companionship on Chinese Residents’ Health. Land 2021, 10, 720. https://doi.org/10.3390/land10070720
2020 Peng, Z.; Wang, R.; Liu, L. *; Wu, H. Exploring Urban Spatial Features of COVID-19 Transmission in Wuhan Based on Social Media Data. ISPRS International Journal of Geo-Information 2020, 9, 402. https://doi.org/10.3390/ijgi9120669
Hu, T.; Guan, W.W.; Zhu, X.; Shao, Y.; Liu, L., et al. Building an Open Resources Repository for COVID-19 Research. Data and Information Management 2020, 4, 130-147.https://doi.org/10.2478/dim-2020-0012
Peng, Z.; Wang, R.; Liu, L. *; Wu, H. Fine-Scale Dasymetric Population Mapping with Mobile Phone and Building Use Data Based on Grid Voronoi Method. ISPRS International Journal of Geo-Information 2020, 9, 344. https://doi.org/10.3390/ijgi9060344
Wang, X., Zhou, Q., He, Y., Liu, L., Ma, X., Wei, X., Jiang, N., Liang, L., Zheng, Y., Ma, L., Xu, Y., Yang, D., Zhang, J., Yang, B., Jiang, N., Deng, T., Zhai, B., Gao, Y., Liu, W., Bai, X., … Gao, Z. (2020). Nosocomial outbreak of COVID-19 pneumonia in Wuhan, China. The European respiratory journal, 55(6), 2000544. https://doi.org/10.1183/13993003.00544-2020
Liu, L.; Zhong, Y.; Ao, S.; Wu, H. Exploring the Relevance of Green Space and Epidemic Diseases Based on Panel Data in China from 2007 to 2016. International Journal of Environmental Research and Public Health 2019, 16, 2551. https://doi.org/10.3390/ijerph16142551
2019 Liu, L.; Xia, B.; Wu, H.; Zhao, J.; Peng, Z.; Yu, Y. Delimitating the Natural City with Points of Interests Based on Service Area and Maximum Entropy Method. Entropy 2019, 21, 458. https://doi.org/10.3390/e21050458
Jin, P.; Gao, Y.; Liu, L*.; Peng, Z.; Wu, H. Maternal Health and Green Spaces in China: A Longitudinal Analysis of MMR Based on Spatial Panel Model. Healthcare 2019, 7, 154. https://doi.org/10.3390/healthcare7040154
Liu, L.; Peng, Z.; Wu, H. Classification of POI Natural Cities Scale and Hierarchy Based on Head/Tail Breaks, Urban Planning International 2019,3. (Chinese,2019)
Liu, L.; Hu, T.; Bao, S.; Wu, H.; Peng, Z.; Wang, R. The Spatiotemporal Interaction Effect of COVID-19 Transmission in the United States. ISPRS International Journal of Geo-Information 2019, 10, 387. https://doi.org/10.3390/ijgi10060387
Peng, Z.; Ao, S.; Liu, L. *; Bao, S.; Hu, T.; Wu, H.; Wang, R. Estimating Unreported COVID-19 Cases with a Time-Varying SIR Regression Model. International Journal of Environmental Research and Public Health 2019, 18, 1090. https://doi.org/10.3390/ijerph18051090

PRESENTATION

Year Presentation
2023 Lingbo Liu, Refining 2SVCA method for measuring telehealth accessibility of primary care physicians in Baton Rouge, The Symposium of Spatiotemporal Data Science, Cambridge, MA
Wendy Guan, Lingbo Liu, Xiaokang Fu, Shuming Bao, Workflow Based Tools for Integrated Spatiotemporal Research, Annual conference of American Association of Geographers, Denver
Xiaokang Fu, Lingbo Liu, Meifang Li, Validation, calibration, and estimation of 2SFCA and i2SFCA. A case study from Shenzhen, China based on online appointment data, Annual conference of American Association of Geographers, Denver
Lingbo Liu, Xiaokang Fu, Spatiotemporal Network Analysis of Cities in the Belt and Road Initiative Countries based on Social Media Mobility Index, Annual conference of American Association of Geographers, Denver
Lingbo Liu, GIS Moves Online: An Integrated Solution for Spatiotemporal Research, Teaching and Applications, Tools of the Trade: The Way Forward, Cambridge, MA
2022 Wendy Guan, Lingbo Liu, Tobias Koetter, Geospatial Analytics for All, KNIME Fall Summit
Wendy Guan, Lingbo Liu, New Release of the Geospatial Extension for KNIME, Harvard CGA, online
Lingbo Liu, Introduction to Weibo Mobility Index, Future Data Lab webinar, online
Lingbo Liu, Fahui Wang, Disparities in Telehealth Accessibility to Primary Care Physicians in Baton Rouge, Louisiana, The fifth annual Politics and Computational Social Science (PaCSS) conference, Cambridge, MA
2021 Lingbo Liu, Workbook for Quantitative methods and Socioeconomic Applications in GIS, Future Data Lab webinar, online
2020 Lingbo Liu, Wuhan's Rejuvenation Plan for the post-pandemic Era, UN-Habitat-Philippine Government Local Government Forum, keynote report, online
Lingbo Liu, Big Data in Epidemic Prevention and Control, UN-Habitat, COVID-19 Wuhan Guidance Papers, Keynote Report, online
Lingbo Liu, Workflow-Based Spatial-Temporal Prediction Model and Statistical Analysis of Pandemic Data, COVID-19 Data Analysis Series Public Webinar, online
2019 Lingbo Liu, Recognition of Urban Expansion Patterns in Asia Based on Local Space Entropy, China Urban Planning Annual Conference, Chongqing
2018 Lingbo Liu, Landscape Quality Improvement Strategy of Simeitang Park, UN-Habitat Place Making Week International Conference, Wuhan

REPORT

Year Report
2020 COVID-19 Wuhan Guidance Papers-Emerging Experiences on Responding to COVID-19 in Chinese Cities and Townships, UN-HABITAT
2020 Research on urban space quality evaluation system based on Homo Urbanicus theory, Wuhan Planning and Research Institute
2017 Research on the competitiveness of urban agglomerations in the middle reaches of the Yangtze River, Wuhan Planning and Research Institute
2016 Research on interpretation of urban built-up area and spatial recognition of metropolitan area in Wuhan, Wuhan Planning and Research Institute

RESEARCH FUNDING

Year Research Funding
2021 Spatiotemporal transmission mechanism and modeling of infectious diseases supported by multi-source data, Core member, National Natural Science Foundation of China,52078390
2020 Interpretation Method of Urban Spatial Structure Based on Big Data and Deep Learning, Core member, National Natural Science Foundation of China,51978535