Number of items: 62.
2024
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)
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, 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)
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,
102078.
(doi: 10.1016/j.compenvurbsys.2024.102078)
(Early Online Publication)
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)
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, 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 Fri May 17 22:32:51 2024 BST.
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