• Kan, Z., Liu, D., Yang, X. and Lee, J., 2024. Measuring exposure and contribution of different types of activity travels to traffic congestion using GPS trajectory data. Journal of Transport Geography117, p.103896.

  • Zhao, Z., Tang, L., Ren, C., Yang, X., Kan, Z. and Li, Q., 2024. Diagnosing urban traffic anomalies by integrating geographic knowledge and tensor theory. GIScience & Remote Sensing61(1), p.2290347.

  • Liu, D., Kwan, M.P., Yang, Z. and Kan, Z., 2024. Comparing subjective and objective greenspace accessibility: Implications for real greenspace usage among adults. Urban Forestry & Urban Greening, 96, p.128335.

  • Liu, D., Kwan, M.P., Wang, L., Kan, Z., Wang, J. and Huang, J., 2024. Development of a Chrono‐Urbanism Status Composite Index under the 5/10/15‐Minute City Concept Using Social Media Big Data. Tijdschrift voor economische en sociale geografie. forthcoming.


  • Kwan, M.P., Huang, J. and Kan, Z., 2023. People’s political views, perceived social norms, and individualism shape their privacy concerns for and acceptance of pandemic control measures that use individual-level georeferenced data. International Journal of Health Geographics22(1), p.35.

  • Kan, Z., Kwan, M.P., Huang, J., Cai, J. and Liu, D., 2023. A Spatial Network-Based Assessment of Individual Exposure to COVID-19. Annals of the American Association of Geographers, p.1-11.

  • Ahmed, N., Lee, J., Liu, D., Kan, Z. and Wang, J., 2023. Identifying urban green space deserts by considering different walking distance thresholds for healthy and socially equitable city planning in the Global South. Urban Forestry & Urban Greening, 89, p.128123.

  • Kan, Z., Kwan, M.P., Cai, J., Liu, Y. and Liu, D., 2023. Nonstationary relationships among individuals’ concurrent exposures to noise, air pollution and greenspace: A mobility-based study using GPS and mobile sensing data. Health & Place, 83, p.103115.

  • Cai, J., Kwan, M.P., Kan, Z. and Huang, J., 2023. Perceiving noise in daily life: How real-time sound characteristics affect personal momentary noise annoyance in various activity microenvironments and times of day. Health & Place83, p.103053.

  • Liu, D., Kwan, M.P., Kan, Z., Song, Y. and Li, X., 2023. Racial/ethnic inequity in transit-based spatial accessibility to COVID-19 vaccination sites. Journal of Racial and Ethnic Health Disparities10(4), p.1533-1541.

  • Liu, D., Kwan, M.P., Kan, Z. and Liu, Y., 2023. Examining individual-level tri-exposure to greenspace and air/noise pollution using individual-level GPS-based real-time sensing data. Social Science & Medicine, p.116040.

  • Liu, D., Kwan, M.P. and Kan, Z., 2023. Assessment of Doubly Disadvantaged Neighborhoods by Healthy Living Environment Exposure. Applied Spatial Analysis and Policy16(2), pp.689-702.

  • Yang, X., Yu, J., Kan, Z., Zhou, L., Guan, Q. and Tang, L., 2023. Spatial temporal analysis of vehicle routing problem from online car-hailing trajectories. ISPRS International Journal of Geo-Information, 2023, forthcoming.

  • Liu, Y., Kwan, M.P. and Kan, Z., 2023. Inconsistent Association between Perceived Air Quality and Self-Reported Respiratory Symptoms: A Pilot Study and Implications for Environmental Health Studies. International Journal of Environmental Research and Public Health20(2), p.1491.


  • Liu, D., Kwan, M.P., Kan, Z. and Wang, J., 2022. Toward a healthy urban living environment: Assessing 15-minute green-blue space accessibility. Sustainability14(24), p.16914.

  • Liu, D., Kwan, M.P., Kan, Z., Song, Y. and Li, X., 2022. Inter‐and intra‐racial/ethnic disparities in walking accessibility to grocery stores. Area54(4), pp.627-637.

  • Zhao, Z., Fang, M., Tang, L., Yang, X., Kan, Z. and Li, Q., 2022. The Impact of Community Shuttle Services on Traffic and Traffic-Related Air Pollution. International Journal of Environmental Research and Public Health19(22), p.15128.

  • Tang, L., Zhao, Z., Yang, X., Kan, Z., et al., Road crowd-sensing with high spatio-temporal resolution in big data era. Acta Geodaetica et Cartographica Sinica, 2022, 51(6): 1070-1090.

  • Kan, Z., Kwan, M.P., Ng, M. K., Tieben, H., 2022. The Impacts of Housing Characteristics and Built-Environment Features on Mental Health. International Journal of Environmental Research and Public Health, 19(9): 5143. https://doi.org/10.3390/ijerph19095143

  • Kan, Z., Kwan, M.P., Liu, D., Tang, L., Chen, Y. and Fang M., 2022. Assessing individual activity-related exposures to traffic congestion using GPS trajectory data. Journal of Transport Geography, 98, 103240. https://doi.org/10.1016/j.jtrangeo.2021.103240

  • Liu, D., Kwan, M.P., Kan, Z., Song, Y. and Li, X., 2022. Racial/Ethnic Inequity in Transit-Based Spatial Accessibility to COVID-19 Vaccination Sites. Journal of Racial and Ethnic Health Disparities, 1-9.


  • Liu, D., Kwan, M.P., Huang, J., Kan, Z., Song Y. and Li, X., 2022. Analyzing income-based inequality in transit nodal accessibility. Travel Behaviour and Society. 27, 57-64. https://doi.org/10.1016/j.tbs.2021.11.005

  • Huang, J., Kwan, M.P., Cai, J., Song, W., Yu, C., Kan, Z. and Yim, S.H.L., 2022. Field Evaluation and Calibration of Low-Cost Air Pollution Sensors for Environmental Exposure Research. Sensors, 22(6), 2381. https://doi.org/10.3390/s22062381

  • Kan, Z., Kwan, M.P., Huang, J., Wong, M.S. and Liu, D., 2021. Comparing the space-time patterns of high-risk areas in different waves of COVID-19 in Hong Kong. Transaction in GIS. 00, 1– 20. https://doi.org/10.1111/tgis.12800

  • Kan, Z., Kwan, M.P. and Tang, L., 2021. Ripley’s K-function for network-constrained flow data. Geographical Analysis. 0, 1–20. https://doi.org/10.1111/gean.12300

  • Kan, Z., Kwan, M.P., Wong, M.S., Huang, J. and Liu, D., 2021. Identifying the space-time patterns of COVID-19 risk and their associations with different built environment features in Hong Kong. Science of the Total Environment, 772, 145379. https://doi.org/10.1016/j.scitotenv.2021.145379

  • Huang, J., Kwan, M.P. and Kan, Z., 2021. The superspreading places of COVID-19 and the associated built-environment and socio-demographic features: A study using a spatial network framework and individual-level activity data. Health & Place, 102694. https://doi.org/10.1016/j.healthplace.2021.102694

  • Ren, C., Tang, L., Long, J., Kan, Z. and Yang, X., 2021. Modelling place visit probability sequences during trajectory data gaps based on movement history. ISPRS International Journal of Geo-Information, 10(7), 456. https://doi.org/10.3390/ijgi10070456

  • Kwok, C.Y.T., Wong, M.S., Chan, K.L., Kwan, M.P., Nichol, J.E., Liu, C.H., Wong, J.Y.H., Wai, A.K.C., Chan, L.W.C., Xu, Y., Li, H., Huang, J. and Kan, Z., 2021. Spatial analysis of the impact of urban geometry and socio-demographic characteristics on COVID-19, a study in Hong Kong. Science of the Total Environment, 764, 144455. https://doi.org/10.1016/j.scitotenv.2020.144455

  • Liu, D., Kwan, M.P., Kan, Z., 2021. Analyzing disparities in transit-based healthcare accessibility in the Chicago Metropolitan Area. Canadian Geographer/Le Géographe canadien. 1-15. https://doi.org/10.1111/cag.12708

  • Liu, D., Kwan, M.P., Kan, Z. and Song, Y., 2021. An integrated analysis of housing and transit affordability in the Chicago Metropolitan Area. The Geographical Journal, 187, 110–126. https://doi.org/10.1111/geoj.12377

  • Liu, D., Kwan, M.P. and Kan, Z., 2021. Analysis of urban green space accessibility and distribution inequity in the City of Chicago.Urban Forestry & Urban Greening, 59,127029. https://doi.org/10.1016/j.ufug.2021.127029

  • Liu, D., Kwan, M.P. and Kan, Z., 2021. Assessing job-access inequity for transit-based workers across space and race with the Palma ratio. Urban Research & Practice, 1-27 https://doi.org/10.1080/17535069.2021.1923795

  • Yu, X., Wong, M.S., Kwan, M.P., Nichol, J.E., Zhu, R., Heo, J., Chan, P.W., Chin, D.C., Kwok, C.Y.T. and Kan, Z., 2021. Covid-19 infection and mortality: Association with PM2.5 concentration and population density—An exploratory study. ISPRS International Journal of Geo-Information, 10(3),123. https://doi.org/10.3390/ijgi10030123

  • Fang, M., Tang, L., Kan, Z., Yang, X., Pei, T., Li, Q. and Li, C., 2021. An adaptive Origin-Destination flows cluster-detecting method to identify urban mobility trends. arXiv preprint arXiv:2106.05436. https://arxiv.org/abs/2106.05436


  • Kan, Z., Wong, M. S., Zhu, R., 2020. Understanding space-time patterns of vehicular emission flows in urban areas using geospatial technique. Computers, Environment and Urban Systems, 79, 101399. https://doi.org/10.1016/j.compenvurbsys.2019.101399

  • Chen, Y., Tang, L., Kan, Z., Bilal, M. and Li, Q., 2020. A novel water body extraction neural network (WBE-NN) for optical high-resolution multispectral imagery. Journal of Hydrology, 588, 125092. https://doi.org/10.1016/j.jhydrol.2020.125092

  • Cheng, L., Yang, X., Tang, L., Duan, Q., Kan, Z., Zhang, X. and Ye, X., 2020. Spatiotemporal analysis of taxi-driver shifts using big trace data. ISPRS International Journal of Geo-Information, 9(4), 281. https://doi.org/10.3390/ijgi9040281

  • Chen, Y., Tang, L., Kan, Z., Latif, A., Yang, X., Bilal, M. and Li, Q., 2020. Cloud and cloud shadow detection based on multiscale 3D-CNN for high resolution multispectral imagery. IEEE Access, 8, 16505-16516. https://doi.org/10.1109/ACCESS.2020.2967590

  • Huang, J., Kwan, M. P., Kan, Z. et al. 2020. Investigating the relationship between the built environment and relative risk of COVID-19 in Hong Kong. ISPRS International Journal of Geo-Information, 9(11): 624. https://doi.org/10.3390/ijgi9110624

  • Kwok, C.Y.T., Wong, M.S., Li, H., Hui, K.K.W., Ko, F.W.Y., Shiu, H.Y.K. and Kan, Z., 2020. Detection of structural tree defects using thermal infrared imaging. In 40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019. http://www.scopus.com/inward/record.url?scp=85085665273&partnerID=8YFLogxK


  • Kan, Z., Tang, L., Kwan, M.P., Ren, C., Liu, D. and Li, Q., 2019. Traffic congestion analysis at the turn level using taxis’ GPS trajectory data. Computers, Environment and Urban Systems, 74, 229-243. https://doi.org/10.1016/j.compenvurbsys.2018.11.007

  • Tang, L., Gao, J., Ren, C., Zhang, X., Yang, X. and Kan, Z., 2019. Detecting and evaluating urban clusters with spatiotemporal big data. Sensors, 19(3), p.461. https://doi.org/10.3390/s19030461

  • Tang L., Kan Z., Ren C. et al., 2019. Fine-grained analysis of traffic congestions at the turning level using GPS traces. Acta Geodaetica et Cartographica Sinica, 48(1), 75-85. https://doi.org/10.11947/j.AGCS.2019.20170448


  • Kan, Z., Tang, L., Kwan, M. P. and Zhang, X., 2018. Estimating vehicle fuel consumption and emissions using GPS big data. International Journal of Environmental Research and Public Health, 15(4), 566. https://doi.org/10.3390/ijerph15040566

  • Kan, Z., Tang, L., Kwan, M.P., Ren, C., Liu, D., Pei, T., Liu, Y., Deng, M. and Li, Q., 2018. Fine-grained analysis on fuel-consumption and emission from vehicles trace. Journal of cleaner production, 203, 340-352. https://doi.org/10.1016/j.jclepro.2018.08.222


  • Tang, L., Sun, F., Kan, Z., Ren, C. and Cheng, L., 2017. Uncovering distribution patterns of high performance taxis from big trace data. ISPRS International Journal of Geo-Information6(5), 134. https://doi.org/10.3390/ijgi6050134

  • Tang, L., Kan, Z.*, Duan, Q. et al., 2017. A space-time path supported estimation approach for vehicles’ fuel-consumption and emissions. Acta Geodaetica et Cartographica Sinica, 46(12), 2024-2031. (Corresponding author). https://doi.org/10.11947/j.AGCS.2017.20160439

  • Tang, L., Kan, Z.*, Liu, H., et al., 2017. A kernel density estimation method for linear features in network space. Acta Geodaetica et Cartographica Sinica, 46(1), 107-113. (Corresponding author). https://doi.org/10.11947/j.AGCS.2017.20150158

  • Tang L., Duan Q., Kan, Z. et al., 2017. Study on identification and space-time distribution analysis of taxi shift behavior. ISPRS Journal of Geo-Information Science, 19(2), 167-175. https://doi.org/10.3724/SP.J.1047.2017.00167

  • Tang L., Jin C., Yang X., Z. et al., 2017. Road network topology automatic change detection based on GPS spatio-temporal trajectories. Geomatics and Information Science of Wuhan University, 42(10), 1381-1386. https://doi.org/10.13203/j.whugis20150662


  • Tang, L., Kan,*, Zhang, X., et al., 2016. A network kernel density estimation for linear features in space–time analysis of big trace data. International Journal of Geographical Information Science, 30(9), 1717-1737. (Corresponding author). https://doi.org/10.1080/13658816.2015.1119279

  • Tang, L., Kan, Z.*, Huang, F., et al., 2016. Travel time detection at intersection from taxis’ trace data. Geomatics and Information Science of Wuhan University, 41(1), 136-142. (Corresponding author). https://doi.org/10.13203/j.whugis20130822

  • Liu, H., Kan, Z.*, Sun, F., et al., 2016. Taxis’ short-term out-of-service behaviors detection using big trace data. Geomatics and Information Science of Wuhan University, 41(9), 1192-1198. (Corresponding author). https://doi.org/10.13203/j.whugis20150569

  • Liu, H., Kan, Z., Wu, H. et al., 2016. Vehicles’ refueling activity modeling and space-time distribution analysis. Bulletin of Surveying and Mapping, 9, 29-34. https://doi.org/10.13474/j.cnki.11-2246.2016.0286

  • Tang, L., Yang, X., Kan, Z. et al., 2016. Traffic lane numbers detection based on the naive Bayesian classification. China Journal of Highway and Transport, 29(3), 116-123. https://doi.org/10.3969/j.issn.1001-7372.2016.03.015

  • Tang L., Liu Z., Yang X., Kan Z. et al., 2016. A method of spatio-temporal trajectory fusion and road network generation based on cognitive law. Acta Geodaetica et Cartographica Sinica, 44(11), p.1271. https://doi.org/10.11947/j.AGCS.2015.20140591

  • Tang, L., Kan, Z.*, Zhang, X., et al., 2016. Travel time estimation at intersections based on low-frequency spatial-temporal GPS trajectory big data. Cartography and Geographic Information Science, 43(5), 417-426. (Corresponding author). https://doi.org/10.1080/15230406.2015.1130649


  • Tang, L., Yang, X., Kan, Z. et al., 2015. Lane-level road information mining from vehicle GPS trajectories based on naïve Bayesian classification. ISPRS International Journal of Geo-Information4(4), 2660-2680. https://doi.org/10.3390/ijgi4042660

  • Huang L., Kan, Z. and Li D., 2015. Design and realization of 3d electronic map based on time and space base state correction. Geospatial Information, 34(1), 311-315. https://doi.org/10.3969/j.issn.1672-4623.2015.01.055


  • Tang, L., Zhang, X., Kan, Z., Yang, B. and Li, Q., 2014. Spatial data Internet progressive transmission control based on the geometric shapes similarity. International Journal of Control, Automation and Systems12(5), 1110-1117. (Corresponding author). https://doi.org/10.1007/s12555-012-0484-4

  • Wang, Z., Kan, Z.*, Hong, J., et al., 2014. Path optimization based on city intersection turning analysis from floating car data. Applied Mechanics and Materials, 577, 1055-1060. Trans Tech Publications. (Corresponding author). https://doi.org/10.4028/www.scientific.net/AMM.577.1055