Dr Mingshu Wang

  • Senior Lecturer in Geospatial Data Science (School of Geographical & Earth Sciences)

Biography

Dr. Mingshu Wang is a Senior Lecturer (Associate Professor) in Geospatial Data Science at the School of Geographical & Earth Sciences, University of Glasgow, UK. He earned his BSc from Nanjing University (China), MSc, and Ph.D. from the University of Georgia (USA). Before joining the University of Glasgow, he was a tenure-track Assistant Professor of Geodata Science at the Faculty Geo-Information Science and Earth Observation (ITC), University of Twente, the Netherlands.

His research focuses on developing and applying methods of GIScience (i.e., geographical information systems, remote sensing, and spatial analysis) and big data analytics (e.g., machine learning, artificial intelligence, and econometrics) to understand urban systems. He has two interconnected research lines of cities from the perspective of people. At a macro-scale, he quantifies the relationship between urban structure and urban/regional performance from fine-grained geospatial data via GIScience and econometrics methods. At a micro-scale, he examines human mobility issues regarding the built environment with crowdsourced geospatial information using machine learning and artificial intelligence techniques. He has received research grants from the World Bank, Dutch Research Council (NWO), Chinese Academy of Sciences, and Microsoft Azure Research Award.

Personal Website: www.mingshuwang.org

 

Research interests

  • Urban Informatics
  • Urban Science
  • GIScience
  • Geodata Science
  • City and Regional Development

Publications

List by: Type | Date

Jump to: 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2012
Number of items: 57.

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)

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)

Zheng, W. and Wang, M. (2023) Three-dimensional land-use configuration and property prices: a spatially filtered multi-level modelling perspective. Environment and Planning B: Urban Analytics and City Science, (doi: 10.1177/23998083231180213) (Early Online Publication)

Li, Y., Zhao, Q. and Wang, M. (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)

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

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, S. A., Renslow, M. S. and Budge, A. 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 Thu Dec 7 08:51:37 2023 GMT.
Jump to: Articles | Book Sections | Book Reviews | Conference or Workshop Item | Conference Proceedings
Number of items: 57.

Articles

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)

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)

Zheng, W. and Wang, M. (2023) Three-dimensional land-use configuration and property prices: a spatially filtered multi-level modelling perspective. Environment and Planning B: Urban Analytics and City Science, (doi: 10.1177/23998083231180213) (Early Online Publication)

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)

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

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, S. A., Renslow, M. S. and Budge, A. 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]

Conference or Workshop Item

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. and Wang, M. (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 Thu Dec 7 08:51:37 2023 GMT.

Grants

  • The Dutch Research Council (NWO), PI (2020-2024)

    Measuring Pedestrian Dynamics: Doing It the Right Way

  • The Dutch Research Council (NWO), PI (2020-2021)

    Feasibility study of real-time Wi-Fi dataset for monitoring social distancing

  • World Bank, Co-PI (2020-2021)

    Connectivity of economic Centers in the Horn of Africa

  • The Dutch Research Council (NWO) + SURF, Co-PI (2020-2021)

    Mapping phenoregions over Europe and the contiguous United States using AWS

  • Province of Overijssel (NL) and Design Lab(UTwente), Co-PI (2019-2020)

    Mapping Overijssel: Drug Dumping, Roe deer roadkill

  • Chinese Academy of Sciences Open Fund, PI (2018-2019)

    The Convergence and Simulation of Polycentric Urban Structure in China

  • Microsoft Azure for Research, PI (2017-2018)

    More Than Words: Perceiving the Hospitable City in a Cloud Computing Environment

Supervision

  • WANG, Yu
    Multi sensor positioning for urban canyon navigation

Ph.D. Supervision:

  • Cai Wu
  • Nadia Shafaei pour sarmour
  • Ting Zhou

 

MSc. Supervision:

  • Praneeth Kadiyam (2021)
  • Yun Xu (2020)
  • Mahshid Ghaffari (2020)
  • Laurens Kik (2019)

Teaching

  • Principles of GIS (GEOG 5019)
  • GIS A: Applied Spatial Analysis (GEOG 4111)

Professional activities & recognition

Prizes, awards & distinctions

  • 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)
  • 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

  • 2022 - Now: 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

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