Dr Mingshu Wang

  • Reader (School of Geographical & Earth Sciences)

Biography

Dr. Mingshu Wang is a Reader in Geospatial Data Science with a background that includes a BSc from Nanjing University (China) and an MSc and Ph.D. from the University of Georgia (USA). He is also a Visiting Scholar at the University of Amsterdam, The Netherlands. Prior to his current position, he served as a Senior Lecturer (Associate Professor with Tenure) in Geospatial Data Science at the School of Geographical & Earth Sciences, University of Glasgow, UK (2021-2024). He was also a tenure-track Assistant Professor of Geodata Science at the Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Netherlands (2018-2021).

His research focuses on advancing GIScience and big data analytics methods, including GeoAI, explainable artificial intelligence, and econometrics, to better understand urban systems. Dr. Wang approaches his work from a people-centric perspective through two main research areas. At the macro level, he examines the connection between urban spatial structures (such as urban polycentricity) and the economic, social, and environmental performance of city-regions. At the micro level, he studies how the built environment influences collective human behaviors like mobility and organizational vitality.

Dr. Wang has authored over 60 peer-reviewed articles in prestigious journals covering GIScience, Urban Studies/Planning, and related disciplines. Six of his papers have been recognized as Web of Science ESI Highly Cited Papers, placing them in the top 1% of all publications. He has been listed by Elsevier and Stanford University as one of the World's Top 2% most-cited scientists since 2022.

 

Research interests

  • Urban Informatics
  • Urban Science
  • GIScience
  • Geospatial Data Science
  • City and Regional Development

Publications

List by: Type | Date

Jump to: 2025 | 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2012
Number of items: 73.

2025

Wu, C., Wang, J., Wang, M. , Biljecki, F. and Kraak, M.-J. (2025) Formalising the urban pattern language: a morphological paradigm towards understanding the multi-scalar spatial structure of cities. Cities, 161, 105854. (doi: 10.1016/j.cities.2025.105854)

Li, Y. , Zhao, Q. and Wang, M. (2025) High-resolution traffic flow data from the urban traffic control system in Glasgow. Scientific Data, 12, 253. (doi: 10.1038/s41597-025-04494-y)

Wei, H., Huang, B., Wang, M. and Liu, X. (2025) Solar radiation drives the plant species distribution in urban built-up areas. Plants, 14(4), 539. (doi: 10.3390/plants14040539)

Yuan, X., Li, Z. , Basiri, A. and Wang, M. (2025) Construction enthusiasts versus demolition giants: insights from building footprint data in England. Environment and Planning B: Urban Analytics and City Science, (doi: 10.1177/23998083251317573) (Early Online Publication)

Wang, D., Wang, M. , Zheng, W., Song, Y. and Huang, X. (2025) A multi-level spatial assessment framework for identifying land use conflict zones. Land Use Policy, 148, 107382. (doi: 10.1016/j.landusepol.2024.107382)

2024

Li, Y. , Zhao, Q. and Wang, M. (2024) Understanding urban traffic flows in response to COVID-19 pandemic with emerging urban big data in Glasgow. Cities, 154, 105381. (doi: 10.1016/j.cities.2024.105381)

Wu, C., Wang, M. , Wang, J., Smith, D. and Kraak, M.-J. (2024) “Local hubs and global gateways”: understanding the impact of Singapore’s master plan on urban polycentricity. Environment and Planning B: Urban Analytics and City Science, (doi: 10.1177/23998083241267070) (Early Online Publication)

Shafaeipour, N., Stanciu, V.-D., van Steen, M. and Wang, M. (2024) Understanding the protection of privacy when counting subway travelers through anonymization. Computers, Environment and Urban Systems, 110, 102091. (doi: 10.1016/j.compenvurbsys.2024.102091)

Heppenstall, A. , Wang, M. , Demsar, U., Lemmens, R. and Yao, J. (2024) Preface. AGILE: GIScience Series, 5, 1. (doi: 10.5194/agile-giss-5-1-2024)

Liu, X., Peng, B., Wu, M., Wang, M. , Cai, H. and Huang, Q. (2024) Occupation prediction with multimodal learning from Tweet messages and Google Street View images. AGILE: GIScience Series, 5, 36. (doi: 10.5194/agile-giss-5-36-2024)

Wu, C., Wang, J., Wang, M. and Kraak, M.-J. (2024) A spacematrix and clustering approach to understanding the morphology of Singapore’s Housing Development Board (HDB) estates. AGILE: GIScience Series, 5, 54. (doi: 10.5194/agile-giss-5-54-2024)

Deng, R., Li, Z. and Wang, M. (2024) A Transformer-Based Model for Effective Representation of Geospatial Data and Context. EGU General Assembly 2024, Vienna, Austria, 14-19 April 2024. (doi: 10.5194/egusphere-egu24-1003)

Wu, C., Wang, J., Wang, M. and Kraak, M.-J. (2024) Machine learning-based characterisation of urban morphology with the street pattern. Computers, Environment and Urban Systems, 109, 102078. (doi: 10.1016/j.compenvurbsys.2024.102078)

Wu, C., Wang, Y., Wang, J., Kraak, M.-J. and Wang, M. (2024) Mapping street patterns with network science and supervised machine learning. ISPRS International Journal of Geo-Information, 13(4), 114. (doi: 10.3390/ijgi13040114)

Ma, D., He, F., Yue, Y., Guo, R., Zhao, T. and Wang, M. (2024) Graph convolutional networks for street network analysis with a case study of urban polycentricity in Chinese cities. International Journal of Geographical Information Science, (doi: 10.1080/13658816.2024.2321229)

Zheng, W. and Wang, M. (2024) Three-dimensional land-use configuration and property prices: a spatially filtered multi-level modelling perspective. Environment and Planning B: Urban Analytics and City Science, 51(2), pp. 438-455. (doi: 10.1177/23998083231180213)

Heppenstall, A. , Wang, M. , Demsar, U., Lemmens, R. and Yao, J. (Eds.) (2024) 27th AGILE Conference on Geographic Information Science “Geographic Information Science for a Sustainable Future”. AGILE: GIScience Series. 5 [Edited Journal]

2023

Russell, A., Li, Z. and Wang, M. (2023) Equalizing urban agriculture access in Glasgow: a spatial optimization approach. International Journal of Applied Earth Observation and Geoinformation, 124, 103525. (doi: 10.1016/j.jag.2023.103525)

Borsci, S. et al. (2023) Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle. AI and Society, 38(4), pp. 1465-1484. (doi: 10.1007/s00146-021-01383-x)

Zhang, X., Chang, L., Wang, M. and Stein, A. (2023) Measuring polycentric urban development with multi-temporal Sentinel-1 SAR imagery: a case study in Shanghai, China. International Journal of Applied Earth Observation and Geoinformation, 121, 103340. (doi: 10.1016/j.jag.2023.103340)

Li, Y. , Zhao, Q. , Wang, M. and , (2023) Analysis The Influencing Factors of Urban Traffic Flows by Using Emerging Urban Big Data. In: 31st Annual Geographical Information Science Research UK Conference (GISRUK2023), Glasgow, Scotland, 19-21 Apr 2023, (doi: 10.5281/zenodo.7839683)

Zhang, Z., Song, Y., Luo, P., Wu, P., Liu, X. and Wang, M. (2023) Elucidation of spatial disparities of factors that affect air pollutant concentrations in industrial regions at a continental level. International Journal of Applied Earth Observation and Geoinformation, 117, 103221. (doi: 10.1016/j.jag.2023.103221)

Zhu, P., Tan, X., Wang, M. , Guo, F., Shi, S. and Li, Z. (2023) The impact of mass gatherings on the local transmission of COVID-19 and the implications for social distancing policies: Evidence from Hong Kong. PLoS ONE, 18(2), e0279539. (doi: 10.1371/journal.pone.0279539) (PMID:36724151) (PMCID:PMC9891527)

2022

Zhu, P., Tan, X., Zhao, S., Shi, S. and Wang, M. (2022) Land use regulations, transit investment, and commuting preferences. Land Use Policy, 122, 106343. (doi: 10.1016/j.landusepol.2022.106343)

Wang, M. , Chen, Z., Rong, H. H., Mu, L., Zhu, P. and Shi, Z. (2022) Ridesharing accessibility from the human eye: Spatial modeling of built environment with street-level images. Computers, Environment and Urban Systems, 97, 101858. (doi: 10.1016/j.compenvurbsys.2022.101858)

Zhong, S., Wang, M. , Zhu, Y., Chen, Z. and Huang, X. (2022) Urban expansion and the urban–rural income gap: empirical evidence from China. Cities, 129, 103831. (doi: 10.1016/j.cities.2022.103831)

Jing, C., Zhang, H., Xu, S., Wang, M. , Zhuo, F. and Liu, S. (2022) A hierarchical spatial unit partitioning approach for fine-grained urban functional region identification. Transactions in GIS, 26(6), pp. 2691-2715. (doi: 10.1111/tgis.12979)

Wang, M. , Derudder, B., Kunaka, C. and Liu, X. (2022) Regional integration in the Horn of Africa through the lens of inter-city connectivity. Applied Geography, 145, 102754. (doi: 10.1016/j.apgeog.2022.102754)

Li, Y. , Zhao, Q. and Wang, M. (2022) Analysis the Influencing Factors of Urban Traffic Flows by Using New and Emerging Urban Big Data and Deep Learning. In: XXIVth ISPRS Congress, Nice, France, 6-11 June 2022, pp. 537-543. (doi: 10.5194/isprs-archives-XLIII-B4-2022-537-2022)

Zhu, P., Huang, J., Wang, J., Liu, Y., Li, J., Wang, M. and Qiang, W. (2022) Understanding taxi ridership with spatial spillover effects and temporal dynamics. Cities, 125, 103637. (doi: 10.1016/j.cities.2022.103637)

Wu, J., Lu, Y., Gao, H. and Wang, M. (2022) Cultivating historical heritage area vitality using urban morphology approach based on big data and machine learning. Computers, Environment and Urban Systems, 91, 101716. (doi: 10.1016/j.compenvurbsys.2021.101716)

2021

Wang, M. and Vermeulen, F. (2021) Life between buildings from a street view image: what do big data analytics reveal about neighbourhood organisational vitality? Urban Studies, 58(15), pp. 3118-3139. (doi: 10.1177/0042098020957198)

Wang, S., Wang, M. and Liu, Y. (2021) Access to urban parks: Comparing spatial accessibility measures using three GIS-based approaches. Computers, Environment and Urban Systems, 90, 101713. (doi: 10.1016/j.compenvurbsys.2021.101713)

Wang, M. and Debbage, N. (2021) Urban morphology and traffic congestion: longitudinal evidence from US cities. Computers, Environment and Urban Systems, 89, 101676. (doi: 10.1016/j.compenvurbsys.2021.101676)

Wu, C., Smith, D. and Wang, M. (2021) Simulating the urban spatial structure with spatial interaction: A case study of urban polycentricity under different scenarios. Computers, Environment and Urban Systems, 89, 101677. (doi: 10.1016/j.compenvurbsys.2021.101677)

Derudder, B., Liu, X., Wang, M. , Zhang, W., Wu, K. and Caset, F. (2021) Measuring polycentric urban development: the importance of accurately determining the ‘balance’ between ‘centers’. Cities, 111, 103009. (doi: 10.1016/j.cities.2020.103009)

Li, B., Peng, Y., He, H., Wang, M. and Feng, T. (2021) Built environment and early infection of COVID-19 in urban districts: a case study of Huangzhou. Sustainable Cities and Society, 66, 102685. (doi: 10.1016/j.scs.2020.102685) (PMID:33520609) (PMCID:PMC7836794)

Wang, M. (2021) Polycentric urban development and urban amenities: evidence from Chinese cities. Environment and Planning B: Urban Analytics and City Science, 48(3), pp. 400-416. (doi: 10.1177/2399808320951205)

2020

Yuan, Y., Wang, M. , Zhu, Y., Huang, X. and Xiong, X. (2020) Urbanization's effects on the urban-rural income gap in China: a meta-regression analysis. Land Use Policy, 99, 104995. (doi: 10.1016/j.landusepol.2020.104995)

Wei, X., Wang, M. and Kraak, M.-J. (2020) Where we are in fighting against COVID-19. Environment and Planning A, 52(8), pp. 1483-1486. (doi: 10.1177/0308518X20931515)

Liu, X., Wang, M. , Qiang, W., Wu, K. and Wang, X. (2020) Urban form, shrinking cities, and residential carbon emissions: evidence from Chinese city-regions. Applied Energy, 261, 114409. (doi: 10.1016/j.apenergy.2019.114409)

Wang, M. , Chen, Z., Mu, L. and Zhang, X. (2020) Road network structure and ride-sharing accessibility: a network science perspective. Computers, Environment and Urban Systems, 80, 101430. (doi: 10.1016/j.compenvurbsys.2019.101430)

2019

Wang, M. , Derudder, B. and Liu, X. (2019) Polycentric urban development and economic productivity in China: a multiscalar analysis. Environment and Planning A: Economy and Space, 51(8), pp. 1622-1643. (doi: 10.1177/0308518X19866836)

Zhou, X., Wang, M. and Li, D. (2019) Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning. Journal of Transport Geography, 79, 102479. (doi: 10.1016/j.jtrangeo.2019.102479)

Jing, C., Sun, T., Chen, Q., Du, M., Wang, M. , Wang, S. and Wang, J. (2019) A robust noise mitigation method for the mobile RFID location in built environment. Sensors, 19(9), 2143. (doi: 10.3390/s19092143) (PMID:31075830) (PMCID:PMC6539227)

Park, S., Yang, Y. and Wang, M. (2019) Travel distance and hotel service satisfaction: an inverted U-shaped relationship. International Journal of Hospitality Management, 76(Part A), pp. 261-270. (doi: 10.1016/j.ijhm.2018.05.015)

Zhao, Y., Xu, X. and Wang, M. (2019) Predicting overall customer satisfaction: big data evidence from hotel online textual reviews. International Journal of Hospitality Management, 76(Part A), pp. 111-121. (doi: 10.1016/j.ijhm.2018.03.017)

Bernardes, S. et al. (2019) Image processing and analysis methods. In: Morain, Stanley A., Renslow, Michael S. and Budge, Amelia M. (eds.) Manual of Remote Sensing, 4th Edition. American Society for Photogrammetry and Remote Sensing: Bethesda, pp. 631-868. ISBN 9781570831034 (doi: 10.14358/MRS/Chapter7)

2018

Wang, M. (2018) Integrating Scale in Remote Sensing and GIS. Photogrammetric Engineering and Remote Sensing, 84(11), p. 673. (doi: 10.14358/PERS.84.11.673)[Book Review]

Liu, X., Derudder, B. and Wang, M. (2018) Polycentric urban development in China: a multi-scale analysis. Environment and Planning B: Urban Analytics and City Science, 45(5), pp. 953-972. (doi: 10.1177/2399808317690155)

Mao, Z., Yang, Y. and Wang, M. (2018) Sleepless nights in hotels? Understanding factors that influence hotel sleep quality. International Journal of Hospitality Management, 74, pp. 189-201. (doi: 10.1016/j.ijhm.2018.05.002)

Jing, C., Wang, S., Wang, M. , Du, M., Zhou, L., Sun, T. and Wang, J. (2018) A low-cost collaborative location scheme with GNSS and RFID for the Internet of Things. ISPRS International Journal of Geo-Information, 7(5), 180. (doi: 10.3390/ijgi7050180)

Li, D., Zhou, X. and Wang, M. (2018) Analyzing and visualizing the spatial interactions between tourists and locals: a Flickr study in ten US cities. Cities, 74, pp. 249-258. (doi: 10.1016/j.cities.2017.12.012)

Wang, M. and Mu, L. (2018) Spatial disparities of Uber accessibility: an exploratory analysis in Atlanta, USA. Computers, Environment and Urban Systems, 67, pp. 169-175. (doi: 10.1016/j.compenvurbsys.2017.09.003)

Madden, M., Vacca, G., Paudyal, D. R. and Wang, M. (2018) Geospatial Applications of the Internet of Things (IoT) [Guest Editors]. ISPRS International Journal of Geo-Information, 7,

2017

Wang, M. , Madden, M. and Liu, X. (2017) Exploring the relationship between urban forms and CO2 emissions in 104 Chinese cities. Journal of Urban Planning and Development, 143(4), 04017014. (doi: 10.1061/(ASCE)UP.1943-5444.0000400)

Wang, M. and Zhou, X. (2017) Bike-sharing systems and congestion: evidence from US cities. Journal of Transport Geography, 65, pp. 147-154. (doi: 10.1016/j.jtrangeo.2017.10.022)

Wang, M. and Cai, B. (2017) A two-level comparison of CO2 emission data in China: evidence from three gridded data sources. Journal of Cleaner Production, 148, pp. 194-201. (doi: 10.1016/j.jclepro.2017.02.003)

Zhou, X., Wang, M. and Li, D. (2017) From stay to play – a travel planning tool based on crowdsourcing user-generated contents. Applied Geography, 78, pp. 1-11. (doi: 10.1016/j.apgeog.2016.10.002)

Wang, M. , Madden, M., Hendy, I., Estradivari, and Ahmadia, G. N. (2017) Modeling projected changes of mangrove biomass in different climatic scenarios in the Sunda Banda Seascapes. International Journal of Digital Earth, 10(4), pp. 457-468. (doi: 10.1080/17538947.2016.1190411)

Zhou, J., Wang, M. and Long, Y. (2017) Big data for intrametropolitan human movement studies. International Review for Spatial Planning and Sustainable Development, 5(3), pp. 100-115. (doi: 10.14246/irspsd.5.3_100)

2016

Wang, M. (2016) Location Is (Still) Everything: The Surprising Influence of the Real World on How We Search, Shop, and Sell in the Virtual One by David R. Bell. Southeastern Geographer, 56(4), pp. 476-477. (doi: 10.1353/sgo.2016.0048)[Book Review]

Wang, M. (2016) Crowdsourcing the landscape of cannabis (marijuana) of the contiguous United States. Environment and Planning A, 48(8), pp. 1449-1451. (doi: 10.1177/0308518X15598541)

Liu, X. and Wang, M. (2016) How polycentric is urban China and why? A case study of 318 cities. Landscape and Urban Planning, 151, pp. 10-20. (doi: 10.1016/j.landurbplan.2016.03.007)

Wang, M. and Zhou, X. (2016) Geography matters in online hotel reviews. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B2, pp. 573-576. (doi: 10.5194/isprs-archives-xli-b2-573-2016)

Wang, M. and Madden, M. (2016) Bridging the Gap Between Geography and Marketing: Opportunities for CyberGIS. CyberGIS 2016 - CyberGIS Curriculum Workshop for Synthesizing Education Materials, San Francisco, CA, USA, 02-03 Apr 2016.

Wang, M. (2016) Visualizing pesticide usage in the United States from 1992 to 2009. Environment and Planning A, 48(3), pp. 455-457. (doi: 10.1177/0308518X15604760)

Wang, M. , Zhou, J., Long, Y. and Chen, F. (2016) Outside the ivory tower: visualizing university students’ top transit-trip destinations and popular corridors. Regional Studies, Regional Science, 3(1), pp. 202-206. (doi: 10.1080/21681376.2016.1154798)

2015

Wang, M. (2015) Global Urban Monitoring and Assessment through Earth Observation. Photogrammetric Engineering and Remote Sensing, 81(9), -692. (doi: 10.14358/PERS.81.9.692)[Book Review]

Wang, M. (2015) Promoting Ecohealth through geography and governmental partnerships. EcoHealth, 12(2), pp. 206-207. (doi: 10.1007/s10393-014-1000-5) (PMID:25588999)

Wang, M. , Ahmadia, G. N., Chollett, I., Huang, C., Fox, H., Wijonarno, A. and Madden, M. (2015) Delineating biophysical environments of the Sunda Banda Seascape, Indonesia. International Journal of Environmental Research and Public Health, 12(2), pp. 1069-1082. (doi: 10.3390/ijerph120201069) (PMID:25648170) (PMCID:PMC4344655)

2014

Wang, M. and Mu, L. (2014) What geomorphological characteristics accommodate emergent herbaceous wetlands in North Georgia? - geographic knowledge discovery from the NLCD and DEM. Annals of GIS, 20(3), pp. 169-180. (doi: 10.1080/19475683.2014.942364)

2012

Wang, M. and Zhu, M. (2012) Evaluating intensive land use situation of development zone based on cloud models. Nongye Gongcheng Xuebao = Transactions of the Chinese Society of Agricultural Engineering, 28(10), pp. 247-252. (doi: 10.3969/j.issn.1002-6819.2012.10.039)

This list was generated on Mon Apr 21 16:53:47 2025 BST.
Jump to: Articles | Book Sections | Book Reviews | Edited Journals | Conference or Workshop Item | Conference Proceedings
Number of items: 73.

Articles

Wu, C., Wang, J., Wang, M. , Biljecki, F. and Kraak, M.-J. (2025) Formalising the urban pattern language: a morphological paradigm towards understanding the multi-scalar spatial structure of cities. Cities, 161, 105854. (doi: 10.1016/j.cities.2025.105854)

Li, Y. , Zhao, Q. and Wang, M. (2025) High-resolution traffic flow data from the urban traffic control system in Glasgow. Scientific Data, 12, 253. (doi: 10.1038/s41597-025-04494-y)

Wei, H., Huang, B., Wang, M. and Liu, X. (2025) Solar radiation drives the plant species distribution in urban built-up areas. Plants, 14(4), 539. (doi: 10.3390/plants14040539)

Yuan, X., Li, Z. , Basiri, A. and Wang, M. (2025) Construction enthusiasts versus demolition giants: insights from building footprint data in England. Environment and Planning B: Urban Analytics and City Science, (doi: 10.1177/23998083251317573) (Early Online Publication)

Wang, D., Wang, M. , Zheng, W., Song, Y. and Huang, X. (2025) A multi-level spatial assessment framework for identifying land use conflict zones. Land Use Policy, 148, 107382. (doi: 10.1016/j.landusepol.2024.107382)

Li, Y. , Zhao, Q. and Wang, M. (2024) Understanding urban traffic flows in response to COVID-19 pandemic with emerging urban big data in Glasgow. Cities, 154, 105381. (doi: 10.1016/j.cities.2024.105381)

Wu, C., Wang, M. , Wang, J., Smith, D. and Kraak, M.-J. (2024) “Local hubs and global gateways”: understanding the impact of Singapore’s master plan on urban polycentricity. Environment and Planning B: Urban Analytics and City Science, (doi: 10.1177/23998083241267070) (Early Online Publication)

Shafaeipour, N., Stanciu, V.-D., van Steen, M. and Wang, M. (2024) Understanding the protection of privacy when counting subway travelers through anonymization. Computers, Environment and Urban Systems, 110, 102091. (doi: 10.1016/j.compenvurbsys.2024.102091)

Heppenstall, A. , Wang, M. , Demsar, U., Lemmens, R. and Yao, J. (2024) Preface. AGILE: GIScience Series, 5, 1. (doi: 10.5194/agile-giss-5-1-2024)

Liu, X., Peng, B., Wu, M., Wang, M. , Cai, H. and Huang, Q. (2024) Occupation prediction with multimodal learning from Tweet messages and Google Street View images. AGILE: GIScience Series, 5, 36. (doi: 10.5194/agile-giss-5-36-2024)

Wu, C., Wang, J., Wang, M. and Kraak, M.-J. (2024) A spacematrix and clustering approach to understanding the morphology of Singapore’s Housing Development Board (HDB) estates. AGILE: GIScience Series, 5, 54. (doi: 10.5194/agile-giss-5-54-2024)

Wu, C., Wang, J., Wang, M. and Kraak, M.-J. (2024) Machine learning-based characterisation of urban morphology with the street pattern. Computers, Environment and Urban Systems, 109, 102078. (doi: 10.1016/j.compenvurbsys.2024.102078)

Wu, C., Wang, Y., Wang, J., Kraak, M.-J. and Wang, M. (2024) Mapping street patterns with network science and supervised machine learning. ISPRS International Journal of Geo-Information, 13(4), 114. (doi: 10.3390/ijgi13040114)

Ma, D., He, F., Yue, Y., Guo, R., Zhao, T. and Wang, M. (2024) Graph convolutional networks for street network analysis with a case study of urban polycentricity in Chinese cities. International Journal of Geographical Information Science, (doi: 10.1080/13658816.2024.2321229)

Zheng, W. and Wang, M. (2024) Three-dimensional land-use configuration and property prices: a spatially filtered multi-level modelling perspective. Environment and Planning B: Urban Analytics and City Science, 51(2), pp. 438-455. (doi: 10.1177/23998083231180213)

Russell, A., Li, Z. and Wang, M. (2023) Equalizing urban agriculture access in Glasgow: a spatial optimization approach. International Journal of Applied Earth Observation and Geoinformation, 124, 103525. (doi: 10.1016/j.jag.2023.103525)

Borsci, S. et al. (2023) Embedding artificial intelligence in society: looking beyond the EU AI master plan using the culture cycle. AI and Society, 38(4), pp. 1465-1484. (doi: 10.1007/s00146-021-01383-x)

Zhang, X., Chang, L., Wang, M. and Stein, A. (2023) Measuring polycentric urban development with multi-temporal Sentinel-1 SAR imagery: a case study in Shanghai, China. International Journal of Applied Earth Observation and Geoinformation, 121, 103340. (doi: 10.1016/j.jag.2023.103340)

Zhang, Z., Song, Y., Luo, P., Wu, P., Liu, X. and Wang, M. (2023) Elucidation of spatial disparities of factors that affect air pollutant concentrations in industrial regions at a continental level. International Journal of Applied Earth Observation and Geoinformation, 117, 103221. (doi: 10.1016/j.jag.2023.103221)

Zhu, P., Tan, X., Wang, M. , Guo, F., Shi, S. and Li, Z. (2023) The impact of mass gatherings on the local transmission of COVID-19 and the implications for social distancing policies: Evidence from Hong Kong. PLoS ONE, 18(2), e0279539. (doi: 10.1371/journal.pone.0279539) (PMID:36724151) (PMCID:PMC9891527)

Zhu, P., Tan, X., Zhao, S., Shi, S. and Wang, M. (2022) Land use regulations, transit investment, and commuting preferences. Land Use Policy, 122, 106343. (doi: 10.1016/j.landusepol.2022.106343)

Wang, M. , Chen, Z., Rong, H. H., Mu, L., Zhu, P. and Shi, Z. (2022) Ridesharing accessibility from the human eye: Spatial modeling of built environment with street-level images. Computers, Environment and Urban Systems, 97, 101858. (doi: 10.1016/j.compenvurbsys.2022.101858)

Zhong, S., Wang, M. , Zhu, Y., Chen, Z. and Huang, X. (2022) Urban expansion and the urban–rural income gap: empirical evidence from China. Cities, 129, 103831. (doi: 10.1016/j.cities.2022.103831)

Jing, C., Zhang, H., Xu, S., Wang, M. , Zhuo, F. and Liu, S. (2022) A hierarchical spatial unit partitioning approach for fine-grained urban functional region identification. Transactions in GIS, 26(6), pp. 2691-2715. (doi: 10.1111/tgis.12979)

Wang, M. , Derudder, B., Kunaka, C. and Liu, X. (2022) Regional integration in the Horn of Africa through the lens of inter-city connectivity. Applied Geography, 145, 102754. (doi: 10.1016/j.apgeog.2022.102754)

Zhu, P., Huang, J., Wang, J., Liu, Y., Li, J., Wang, M. and Qiang, W. (2022) Understanding taxi ridership with spatial spillover effects and temporal dynamics. Cities, 125, 103637. (doi: 10.1016/j.cities.2022.103637)

Wu, J., Lu, Y., Gao, H. and Wang, M. (2022) Cultivating historical heritage area vitality using urban morphology approach based on big data and machine learning. Computers, Environment and Urban Systems, 91, 101716. (doi: 10.1016/j.compenvurbsys.2021.101716)

Wang, M. and Vermeulen, F. (2021) Life between buildings from a street view image: what do big data analytics reveal about neighbourhood organisational vitality? Urban Studies, 58(15), pp. 3118-3139. (doi: 10.1177/0042098020957198)

Wang, S., Wang, M. and Liu, Y. (2021) Access to urban parks: Comparing spatial accessibility measures using three GIS-based approaches. Computers, Environment and Urban Systems, 90, 101713. (doi: 10.1016/j.compenvurbsys.2021.101713)

Wang, M. and Debbage, N. (2021) Urban morphology and traffic congestion: longitudinal evidence from US cities. Computers, Environment and Urban Systems, 89, 101676. (doi: 10.1016/j.compenvurbsys.2021.101676)

Wu, C., Smith, D. and Wang, M. (2021) Simulating the urban spatial structure with spatial interaction: A case study of urban polycentricity under different scenarios. Computers, Environment and Urban Systems, 89, 101677. (doi: 10.1016/j.compenvurbsys.2021.101677)

Derudder, B., Liu, X., Wang, M. , Zhang, W., Wu, K. and Caset, F. (2021) Measuring polycentric urban development: the importance of accurately determining the ‘balance’ between ‘centers’. Cities, 111, 103009. (doi: 10.1016/j.cities.2020.103009)

Li, B., Peng, Y., He, H., Wang, M. and Feng, T. (2021) Built environment and early infection of COVID-19 in urban districts: a case study of Huangzhou. Sustainable Cities and Society, 66, 102685. (doi: 10.1016/j.scs.2020.102685) (PMID:33520609) (PMCID:PMC7836794)

Wang, M. (2021) Polycentric urban development and urban amenities: evidence from Chinese cities. Environment and Planning B: Urban Analytics and City Science, 48(3), pp. 400-416. (doi: 10.1177/2399808320951205)

Yuan, Y., Wang, M. , Zhu, Y., Huang, X. and Xiong, X. (2020) Urbanization's effects on the urban-rural income gap in China: a meta-regression analysis. Land Use Policy, 99, 104995. (doi: 10.1016/j.landusepol.2020.104995)

Wei, X., Wang, M. and Kraak, M.-J. (2020) Where we are in fighting against COVID-19. Environment and Planning A, 52(8), pp. 1483-1486. (doi: 10.1177/0308518X20931515)

Liu, X., Wang, M. , Qiang, W., Wu, K. and Wang, X. (2020) Urban form, shrinking cities, and residential carbon emissions: evidence from Chinese city-regions. Applied Energy, 261, 114409. (doi: 10.1016/j.apenergy.2019.114409)

Wang, M. , Chen, Z., Mu, L. and Zhang, X. (2020) Road network structure and ride-sharing accessibility: a network science perspective. Computers, Environment and Urban Systems, 80, 101430. (doi: 10.1016/j.compenvurbsys.2019.101430)

Wang, M. , Derudder, B. and Liu, X. (2019) Polycentric urban development and economic productivity in China: a multiscalar analysis. Environment and Planning A: Economy and Space, 51(8), pp. 1622-1643. (doi: 10.1177/0308518X19866836)

Zhou, X., Wang, M. and Li, D. (2019) Bike-sharing or taxi? Modeling the choices of travel mode in Chicago using machine learning. Journal of Transport Geography, 79, 102479. (doi: 10.1016/j.jtrangeo.2019.102479)

Jing, C., Sun, T., Chen, Q., Du, M., Wang, M. , Wang, S. and Wang, J. (2019) A robust noise mitigation method for the mobile RFID location in built environment. Sensors, 19(9), 2143. (doi: 10.3390/s19092143) (PMID:31075830) (PMCID:PMC6539227)

Park, S., Yang, Y. and Wang, M. (2019) Travel distance and hotel service satisfaction: an inverted U-shaped relationship. International Journal of Hospitality Management, 76(Part A), pp. 261-270. (doi: 10.1016/j.ijhm.2018.05.015)

Zhao, Y., Xu, X. and Wang, M. (2019) Predicting overall customer satisfaction: big data evidence from hotel online textual reviews. International Journal of Hospitality Management, 76(Part A), pp. 111-121. (doi: 10.1016/j.ijhm.2018.03.017)

Liu, X., Derudder, B. and Wang, M. (2018) Polycentric urban development in China: a multi-scale analysis. Environment and Planning B: Urban Analytics and City Science, 45(5), pp. 953-972. (doi: 10.1177/2399808317690155)

Mao, Z., Yang, Y. and Wang, M. (2018) Sleepless nights in hotels? Understanding factors that influence hotel sleep quality. International Journal of Hospitality Management, 74, pp. 189-201. (doi: 10.1016/j.ijhm.2018.05.002)

Jing, C., Wang, S., Wang, M. , Du, M., Zhou, L., Sun, T. and Wang, J. (2018) A low-cost collaborative location scheme with GNSS and RFID for the Internet of Things. ISPRS International Journal of Geo-Information, 7(5), 180. (doi: 10.3390/ijgi7050180)

Li, D., Zhou, X. and Wang, M. (2018) Analyzing and visualizing the spatial interactions between tourists and locals: a Flickr study in ten US cities. Cities, 74, pp. 249-258. (doi: 10.1016/j.cities.2017.12.012)

Wang, M. and Mu, L. (2018) Spatial disparities of Uber accessibility: an exploratory analysis in Atlanta, USA. Computers, Environment and Urban Systems, 67, pp. 169-175. (doi: 10.1016/j.compenvurbsys.2017.09.003)

Madden, M., Vacca, G., Paudyal, D. R. and Wang, M. (2018) Geospatial Applications of the Internet of Things (IoT) [Guest Editors]. ISPRS International Journal of Geo-Information, 7,

Wang, M. , Madden, M. and Liu, X. (2017) Exploring the relationship between urban forms and CO2 emissions in 104 Chinese cities. Journal of Urban Planning and Development, 143(4), 04017014. (doi: 10.1061/(ASCE)UP.1943-5444.0000400)

Wang, M. and Zhou, X. (2017) Bike-sharing systems and congestion: evidence from US cities. Journal of Transport Geography, 65, pp. 147-154. (doi: 10.1016/j.jtrangeo.2017.10.022)

Wang, M. and Cai, B. (2017) A two-level comparison of CO2 emission data in China: evidence from three gridded data sources. Journal of Cleaner Production, 148, pp. 194-201. (doi: 10.1016/j.jclepro.2017.02.003)

Zhou, X., Wang, M. and Li, D. (2017) From stay to play – a travel planning tool based on crowdsourcing user-generated contents. Applied Geography, 78, pp. 1-11. (doi: 10.1016/j.apgeog.2016.10.002)

Wang, M. , Madden, M., Hendy, I., Estradivari, and Ahmadia, G. N. (2017) Modeling projected changes of mangrove biomass in different climatic scenarios in the Sunda Banda Seascapes. International Journal of Digital Earth, 10(4), pp. 457-468. (doi: 10.1080/17538947.2016.1190411)

Zhou, J., Wang, M. and Long, Y. (2017) Big data for intrametropolitan human movement studies. International Review for Spatial Planning and Sustainable Development, 5(3), pp. 100-115. (doi: 10.14246/irspsd.5.3_100)

Wang, M. (2016) Crowdsourcing the landscape of cannabis (marijuana) of the contiguous United States. Environment and Planning A, 48(8), pp. 1449-1451. (doi: 10.1177/0308518X15598541)

Liu, X. and Wang, M. (2016) How polycentric is urban China and why? A case study of 318 cities. Landscape and Urban Planning, 151, pp. 10-20. (doi: 10.1016/j.landurbplan.2016.03.007)

Wang, M. and Zhou, X. (2016) Geography matters in online hotel reviews. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLI-B2, pp. 573-576. (doi: 10.5194/isprs-archives-xli-b2-573-2016)

Wang, M. (2016) Visualizing pesticide usage in the United States from 1992 to 2009. Environment and Planning A, 48(3), pp. 455-457. (doi: 10.1177/0308518X15604760)

Wang, M. , Zhou, J., Long, Y. and Chen, F. (2016) Outside the ivory tower: visualizing university students’ top transit-trip destinations and popular corridors. Regional Studies, Regional Science, 3(1), pp. 202-206. (doi: 10.1080/21681376.2016.1154798)

Wang, M. (2015) Promoting Ecohealth through geography and governmental partnerships. EcoHealth, 12(2), pp. 206-207. (doi: 10.1007/s10393-014-1000-5) (PMID:25588999)

Wang, M. , Ahmadia, G. N., Chollett, I., Huang, C., Fox, H., Wijonarno, A. and Madden, M. (2015) Delineating biophysical environments of the Sunda Banda Seascape, Indonesia. International Journal of Environmental Research and Public Health, 12(2), pp. 1069-1082. (doi: 10.3390/ijerph120201069) (PMID:25648170) (PMCID:PMC4344655)

Wang, M. and Mu, L. (2014) What geomorphological characteristics accommodate emergent herbaceous wetlands in North Georgia? - geographic knowledge discovery from the NLCD and DEM. Annals of GIS, 20(3), pp. 169-180. (doi: 10.1080/19475683.2014.942364)

Wang, M. and Zhu, M. (2012) Evaluating intensive land use situation of development zone based on cloud models. Nongye Gongcheng Xuebao = Transactions of the Chinese Society of Agricultural Engineering, 28(10), pp. 247-252. (doi: 10.3969/j.issn.1002-6819.2012.10.039)

Book Sections

Bernardes, S. et al. (2019) Image processing and analysis methods. In: Morain, Stanley A., Renslow, Michael S. and Budge, Amelia M. (eds.) Manual of Remote Sensing, 4th Edition. American Society for Photogrammetry and Remote Sensing: Bethesda, pp. 631-868. ISBN 9781570831034 (doi: 10.14358/MRS/Chapter7)

Book Reviews

Wang, M. (2018) Integrating Scale in Remote Sensing and GIS. Photogrammetric Engineering and Remote Sensing, 84(11), p. 673. (doi: 10.14358/PERS.84.11.673)[Book Review]

Wang, M. (2016) Location Is (Still) Everything: The Surprising Influence of the Real World on How We Search, Shop, and Sell in the Virtual One by David R. Bell. Southeastern Geographer, 56(4), pp. 476-477. (doi: 10.1353/sgo.2016.0048)[Book Review]

Wang, M. (2015) Global Urban Monitoring and Assessment through Earth Observation. Photogrammetric Engineering and Remote Sensing, 81(9), -692. (doi: 10.14358/PERS.81.9.692)[Book Review]

Edited Journals

Heppenstall, A. , Wang, M. , Demsar, U., Lemmens, R. and Yao, J. (Eds.) (2024) 27th AGILE Conference on Geographic Information Science “Geographic Information Science for a Sustainable Future”. AGILE: GIScience Series. 5 [Edited Journal]

Conference or Workshop Item

Deng, R., Li, Z. and Wang, M. (2024) A Transformer-Based Model for Effective Representation of Geospatial Data and Context. EGU General Assembly 2024, Vienna, Austria, 14-19 April 2024. (doi: 10.5194/egusphere-egu24-1003)

Wang, M. and Madden, M. (2016) Bridging the Gap Between Geography and Marketing: Opportunities for CyberGIS. CyberGIS 2016 - CyberGIS Curriculum Workshop for Synthesizing Education Materials, San Francisco, CA, USA, 02-03 Apr 2016.

Conference Proceedings

Li, Y. , Zhao, Q. , Wang, M. and , (2023) Analysis The Influencing Factors of Urban Traffic Flows by Using Emerging Urban Big Data. In: 31st Annual Geographical Information Science Research UK Conference (GISRUK2023), Glasgow, Scotland, 19-21 Apr 2023, (doi: 10.5281/zenodo.7839683)

Li, Y. , Zhao, Q. and Wang, M. (2022) Analysis the Influencing Factors of Urban Traffic Flows by Using New and Emerging Urban Big Data and Deep Learning. In: XXIVth ISPRS Congress, Nice, France, 6-11 June 2022, pp. 537-543. (doi: 10.5194/isprs-archives-XLIII-B4-2022-537-2022)

This list was generated on Mon Apr 21 16:53:47 2025 BST.

Grants

Externally Funded

  • 2024-2027, Co-PI, UK Research and Innovation (UKRI) and UK Government’s Department for Environment, Food and Rural Affairs (Defra)
    Resilience of Anthropocene Coasts and Communities (RACC): assessing and responding to urban and post-industrial coastal risks

  • 2024-2025, PI, Scottish Funding Council (SFC) – Marine Alliance for Science and Technology for Scotland (MASTS)

  • 2023-2024, Co-PI, The Royal Netherlands Academy of Arts and Sciences (KNAW) – Netherlands Institute for Advanced Study in the Humanities and Social Sciences (NIAS)
    The Spatial Segregation of Neighborhood Organizations and Entrepreneurs: Connecting Urban Inequality to the Built Environment

  • 2020-2024, PI, The Dutch Research Council (NWO)
    Measuring Pedestrian Dynamics: Doing It the Right Way

  • 2020-2021, PI, The Dutch Research Council (NWO), 
    Feasibility study of real-time Wi-Fi dataset for monitoring social distancing

  • 2020-2021, Co-PI, World Bank
    Connectivity of Economic Centers in the Horn of Africa

  • 2020-2021, Co-PI, The Dutch Research Council (NWO) 
    Mapping phenoregions over Europe and the contiguous United States using AWS

  • 2019-2020, Co-PI, Province of Overijssel (NL)
    Mapping Overijssel: Drug Dumping, Roe Deer Roadkill

  • 2018-2019, PI, Chinese Academy of Sciences Open Fund
    The Convergence and Simulation of Polycentric Urban Structure in China

  • 2017-2018, PI, Microsoft Azure for Research
    More Than Words: Perceiving the Hospitable City in a Cloud Computing Environment

Internally Funded

  • 2024, University of Glasgow Europe Network Seed Fund, PI
  • 2023, University of Glasgow International Partnership Development Funding (IPDF), PI
  • 2023-2024, University of Glasgow College of Social Sciences Ambitious Interdisciplinary Research Funding Proposal Development Scheme, Co-PI
  • 2021-2023, University of Glasgow Reinvigorating Research Funding, PI
  • 2021-2022, University of Glasgow Early Career Mobility Scheme, PI 
  • 2021, 2022, University of Glasgow Equipment Funding, Co-PI

Supervision

Opportunities for Prospective PhD Students: 

I am always interested in hearing from prospective students who are eager to pursue a PhD under my supervision. Currently, I plan to take 1-2 new PhD students in the 2025-2026 academic year. Before reaching out, please ensure you have explored potential funding options or scholarships if needed. For further details, please visit here. To facilitate our discussion, please email me the following:

  1. Your CV
  2. Your academic transcripts
  3. A brief research proposal (2-3 pages) outlining your proposed doctoral project. The project should align with my previous or current research areas to ensure I can offer the appropriate support and mentorship throughout your studies.

 

Ongoing PhD Supervision at the University of Glasgow:

  • Deng, Rui
    Advancing Transformer-based models for understanding geospatial tabular data in urban systems
  • Li, Yue
    Estimation and Prediction of Urban Traffic Flows with Emerging Urban Big Data by Deep Learning and Computer Vision
  • WANG, Yu
    Multi sensor positioning for urban canyon navigation
  • Xian, Xinyan
    Optimization of Hybrid Truck-Drone Delivery Systems
  • Xu, Zhiya
    Title: Spatial variation of jobs-housing balance using cellphone big data
  • Yuan, Xinyi
    Urban Renewal Potential: Multi-criteria Evaluation Model Supported by Digital Twin System

Ongoing PhD Supervision External to the University of Glasgow:

  • Yue Li (University of Amsterdam/Amsterdam Institute for Social Science Research), Co-Supervisor
  • Weiye Wang (University of Georgia)

Completed PhD Supervision:

  • Dr. Cai Wu (University of Twente, NL, 2024)
    An Urban Pattern Language Analytical Approach for Design and Planning with Spatial Data
  • Dr. Yuzhou Chen (University of South Florida, USA, 2024)
    Navigating Shrinking Cities: Towards Coordinated Urban Development from the Perspective of Flow and Network

Visiting Scholars/Students:

  • Nana Lin (Nanjing University), 2024
  • Dr. Heyi Wei (Jiangxi Normal University), 2024-2025

PhD External Examiner:

  • King's College London (2024)
  • University of Twente (2024)
  • The Hong Kong Polytechnic University (PolyU) (2024)
  • University of Liverpool (2023)
  • Delft University of Technology (2020)

Teaching

At the University of Glasgow (2021- )

Graduate-level Courses
  • GEOG 5015: Web and Mobile Mapping
  • GEOG 5026: Visualisation & Map Use
  • GEOG 5013: Geospatial Data Infrastructure and Land Administration
  • GEOG 5019: Principles of GIS
Undergraduate-level Courses
  • GEOG 4111: Applied Spatial Analysis (GIS A)
BSc/MSc Project Supervision
  • BSc: 9
  • MSc: 22

At the University of Twente (2018-2021)

Graduate-level Courses
  • Academic Skills
  • Integrated Geospatial Workflow
  • Big Geo-data Processing
  • Methods and Techniques for Geo-information Management and Application
Undergraduate-level Courses
  • HTHT Minor in GIS
BSc/MSc Project Supervision
  • BSc: 6
  • MSc: 4

Professional activities & recognition

Prizes, awards & distinctions

  • 2023: Fellow (The Netherlands Institute for Advanced Study in the Humanities and Social Sciences (NIAS))
  • 2023: Young Investigator Award (International Society for Photogrammetry and Remote Sensing (ISPRS) International Journal of Geo-Information (IJGI))
  • 2023: World’s Top 2% most-cited scientists (Elsevier and Stanford University)
  • 2022: World’s Top 2% most-cited scientists (Elsevier and Stanford University)
  • 2019: Regional Science Association International (RSAI) Dissertation Award (Regional Science Association International)
  • 2019: Talent Program (Netherlands Center for Geodesy and Geo-informatics)
  • 2018: Robert N. Colwell Memorial Fellowship (American Society for Photogrammetry and Remote Sensing)
  • 2017: Early Career Researcher Award (2nd place) (The Royal Town Planning Institute)
  • 2016: YSSP Fellowship (International Institute for Applied Systems Analysis)
  • 2015: Finalist, Urbanization in East Asia Research Competition (World Bank)
  • 2014: Masters Scholarship (Cartography and Geographic Information Society)

Research fellowships

  • 2023 - 2024: Netherlands Institute for Advanced Study in the Humanities and Social Sciences (NIAS)
  • 2017 - 2018: The Federation of Earth Science Information Partners (ESIP)
  • 2016 - 2016: International Institute for Applied Systems Analysis (IIASA)

Grant committees & research advisory boards

  • 2024 - Now: Lorentz Center, The Netherlands, Reviewer
  • 2023 - Now: The Royal Geographical Society (with IBG), UK, Reviewer
  • 2022 - Now: UK Research and Innovation (UKRI), Reviewer
  • 2022 - Now: National Science Center, Poland, Reviewer
  • 2022 - Now: Research Grants Council (RGC) of Hong Kong, Reviewer
  • 2020 - Now: Estonian Research Council (ETAg), Reviewer
  • 2020 - Now: Hong Kong Environment and Conservation Fund (ECF), Reviewer
  • 2020 - Now: Vienna Science and Technology Fund (Wiener Wissenschafts-, Forschungs- und Technologiefonds, WWTF), Reviewer
  • 2019 - Now: U.S. National Science Foundation (NSF), Reviewer
  • 2019 - Now: Dutch Research Council (NWO), Reviewer

Editorial boards

  • 2021 - Now: Asian Geographer, Editor
  • 2021 - Now: ISPRS International Journal of Geo-Information, Associate Editor
  • 2020 - Now: Regional Studies, Regional Science, Associate Editor
  • 2021 - Now: Computers, Environment and Urban Systems, Editorial Board Member
  • 2021 - Now: Transactions in Urban Data, Science, and Technology, Editorial Board Member
  • 2019 - Now: Remote Sensing, Editorial Board Member
  • 2019 - Now: PLOS ONE, Editorial Board Member
  • 2020 - 2024: UCL Open: Environment, Editorial Board Member

Professional & learned societies

  • 2015 - Now: WG Member/Secretary, International Society for Photogrammetry and Remote Sensing
  • 2019 - Now: Expert Supporter, Confederation of Laboratories for Artificial Intelligence Research in Europe
  • 2019 - Now: Supporter, European Laboratory for Learning and Intelligent Systems
  • 2019 - 2021: Board of Director (BOD) Member, Chinese Professionals of Geographical Information Science

Research datasets

Jump to: 2024
Number of items: 1.

2024

Li, Y. , Zhao, Q. and Wang, M. (2024) High-resolution traffic flow data from the urban traffic control system in Glasgow. [Data Collection]

This list was generated on Mon Apr 21 06:29:38 2025 BST.

Additional information

Google Scholar: https://scholar.google.com/citations?user=oVsGl44AAAAJ&hl=en

Scopus: https://www.scopus.com/authid/detail.uri?authorId=56342596800 

 

Dr Mingshu Wang on Twitter