Peer-Reviewed Journal/Conference Articles: 

1. 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. https://doi.org/10.1016/j.ufug.2024.128335 

2. 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. https://doi.org/10.1111/tesg.12613 

3. Liu, D., Kwan, M.P. and Wang, J., 2023. Developing the 15-minute city: A comprehensive assessment of the status in Hong Kong. Travel Behaviour and Society, 34, p.100666. https://doi.org/10.1016/j.tbs.2023.100666 

4. 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, 329, p.116040. https://doi.org/10.1016/j.socscimed.2023.116040 

5. Liu, D., Kwan, M.P. and Kan, Z., 2023. Assessment of doubly disadvantaged neighborhoods by healthy living environment exposure. Applied Spatial Analysis and Policy, 16(2), pp. 689–702. https://doi.org/10.1007/s12061-022-09495-7

6. Liu, D., Kwan, M.P., Kan, Z., Song, Y. and Li, X., 2023. Racial/ethnic inequality in transit-based accessibility to COVID-19 vaccination sites. Journal of Racial and Ethnic Health Disparities, 10, pp.1533–1541. https://doi.org/10.1007/s40615-022-01339-x 

7. Liu, D., Kwan, M.P., Kan, Z. and Wang, J., 2022. Toward a healthy urban living environment: Assessing 15-minute green-blue space accessibility. Sustainability, 14(24), p.16914. https://doi.org/10.3390/su142416914

8. Liu, D. and Kwan, M.P., 2022. Integrated analysis of doubly disadvantaged neighborhoods by considering both green space and blue space accessibility and COVID-19 infection risk. PLOS One, 17(11), p.e0273125. https://doi.org/10.1371/journal.pone.0273125

9. 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. Area, 54(4), pp.627–637. https://doi.org/10.1111/area.12796

10. 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, pp.57-64. https://doi.org/10.1016/j.tbs.2021.11.005

11. Liu, D., Kwan, M.P. and Kan, Z., 2021. Analyzing disparities in transit-based healthcare accessibility in the Chicago Metropolitan Area. The Canadian Geographer//Le Géographe canadien, 66(2), pp.248–262. https://doi.org/10.1111/cag.12708

12. 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, p.127029. https://doi.org/10.1016/j.ufug.2021.127029

13. 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

14. 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, pp.1-27. https://doi.org/10.1080/17535069.2021.1923795

15. Liu, D. and Kwan, M.P., 2020. Measuring spatial mismatch and job access inequity based on transit-based job accessibility for poor job seekers. Travel Behaviour and Society, 19, pp.184-193. https://doi.org/10.1016/j.tbs.2020.01.005

16. Liu, D. and Kwan, M.P., 2020. Measuring job accessibility through integrating travel time, transit fare and income: a study of the Chicago Metropolitan Area. Tijdschrift voor Economische en Sociale Geografie, 111(4), pp. 671–685. https://doi.org/10.1111/tesg.12415

17. 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 Geography, 117, pp.103896. https://doi.org/10.1016/j.jtrangeo.2024.103896 

18. 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, pp.1-11. https://doi.org/10.1080/24694452.2023.2266021 

19. 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. https://doi.org/10.1016/j.healthplace.2023.103115 

20. Li, X., Xu, J., Du, M., Liu, D. and Kwan, M.P., 2023. Understanding the spatiotemporal variation of ride-hailing orders under different travel distances. Travel Behaviour and Society, 32, p.100581. https://doi.org/10.1016/j.tbs.2023.100581

21. 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, 128123. https://doi.org/10.1016/j.ufug.2023.128123

22. Wang, J., Kwan, M.P., Liu, D. and Peng, X., 2023. Assessing the spatial distribution of and inequality in 15-minute PCR test site accessibility in Beijing and Guangzhou, China. Applied Geography, 154, p.102925. https://doi.org/10.1016/j.apgeog.2023.102925

23. Cai, J., Kwan, M.P., Hou, C., Liu, D. and Yam, Y., 2023.Curriculum design of artificial intelligence and sustainability in secondary school. I-GUIDE Forum 2023: Harnessing the Geospatial Data Revolution for Sustainability Solutions, Columbia University. https://doi.org/10.5703/1288284317666 

24. 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, pp.103240. https://doi.org/10.1016/j.jtrangeo.2021.103240

25. Song, Y., Chen B., Ho, H.C., Kwan, M.P., Liu, D., Wang, F., Wang, J., Cai, J., Li X., Xu Y., He, Q., Wang H., Xu, Q., Song, Y., 2021. Observed inequality in urban greenspace exposure in China. Environment International, 156, p.106778. https://doi.org/10.1016/j.envint.2021.106778

26. 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. Transactions in GIS, 25, pp.2982-3001. https://doi.org/10.1111/tgis.12800

27. 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, p.145379. https://doi.org/10.1016/j.scitotenv.2021.145379

28. 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, pp.229-243. https://doi.org/10.1016/j.compenvurbsys.2018.11.007

29. 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, pp.340-352. https://doi.org/10.1016/j.jclepro.2018.08.222

Conference/Workshop/Seminar Presentations: 

1. Liu, D. Utilizing Portable Sensing Data to Explore Health-Related Environmental Exposure and its Influential Factors. Annual Meeting of the American Association of Geographers (AAG), Honolulu, HI, USA. April 2024.

2. Liu, D. Optimizing Refueling Infrastructure for Clean Vehicles Using GPS Data and Machine Learning. United Nations University Institute in Macau (UNU Macau) AI Conference 2024, Sé, Macau. April 2024.

3. Liu, D. Exploring the Development Status of x-Minute City with Online Mapping and SNS Big Data. Research Workshop on Geoinformatics and Urban Sustainability, Hong Kong. April 2024.

4. Liu, D. Towards Healthy and Sustainable Cities: Investigating the Holistic 15-Minute City Status with POI and Social Media Check-in Big Data. The 1st International Geospatial Health Research Network (IGHRN) Workshop, Hong Kong. December 2023.

5. Liu, D. Assessing Inequality in Walking Accessibility to Public Transport in Hong Kong. The 27th International Conference of Hong Kong Society for Transportation Studies, Hong Kong. December 2023.

6. Liu, D. Assessing Mobility-Based Individual Tri-Exposure to Greenspace and Noise/Air Pollution Using GPS and Mobile Sensing Data. China Healthy City Science Annual Conference, Tongji University, Shanghai. October 2023

7. Liu, D. 15-Minute City and Climate Resilience. CUHK-Exeter ENSURE Mini-Symposium, Hong Kong. June 2023

8. Liu, D. Assessing the Healthy Living Environment Exposure by Considering Greenspace and Healthy Food. Center for Geographic Analysis (CGA) 2023 Conference: From Geospatial Research to Health Solutions, Harvard University, Cambridge, MA. March 2023.

9. Liu, D. Green/Blue Space and COVID-19: Assessing the Doubly Disadvantaged Neighborhoods in Hong Kong. Annual Meeting of the American Association of Geographers (AAG), Denver, CO. March 2023

10. Liu, D. Investigating Space-Time Patterns of COVID-19 Transmission Risk and Their Associations with the Built Environment in Hong Kong (Virtual Session). Annual Meeting of the Canadian Association of Geographers - Ontario Division (CAGONT), London ON, November 2021

11. Liu, D. Analyzing Disparities in Transit-Based Healthcare Accessibility in the Chicago Metropolitan Area (Virtual Session). Annual Meeting of the American Association of Geographers (AAG), Seattle WA, April 2021

12. Liu, D. A Space-Time GIS Approach for Assessing Refueling Activity Patterns (Virtual Session). Annual Meeting of the West Lakes Division of the American Association of Geographers (WLDAAG), Edwardsville, IL, November 2020

13. Liu, D. The Impact of Transit Fare on Spatial Mismatch for Low-Income Transit-Dependent Workers A Study of the Chicago Metropolitan Area. Annual Meeting of the West Lakes Division of the American Association of Geographers (WLDAAG), Cedar Falls, IA, October 2019

14. Liu, D. Does Transit Fare Impact Spatial Mismatch? A Case Study of Chicago Metropolitan Area. Annual Meeting of the American Association of Geographers (AAG), Washington D.C., April 2019

15. Liu, D. Study of Mismatch Between Transit Accessibility and Commute Demand in the Greater Tokyo Area. Annual Meeting of the American Association of Geographers (AAG), New Orleans, LA, April 2018