Peer-Reviewed Journal Articles: 

1. Liu, D., Kan, Z., Fei, T., Chen, Y., Zhang, Y. and Zheng, Q., 2026. 'Applications in urban sensing for smart cities', in Pun, M.-O. and Zhang, X. (eds.) Multimodal Remote Sensing Fusion and Classification: Algorithms and Applications. Elsevier, pp. 293-347.

2. Liu, D., Nakaya, T., Cai, T., Huang, J., Luo, J., Wang, J., Liu, Y., Xian, Z. and Kan, Z., 2026. A GeoAI-informed floating catchment area framework for assessing spatiotemporal equity of park accessibility for elderly population using dynamic popularity weighting and 3D pedestrian network. Urban Forestry & Urban Greening, 122, p.129529.

3. Liu, D., Gilliland, J., Nakaya, T., Kan, Z., Nagata, S. and Huang, J., 2026. Strengthening urban pandemic preparedness: a dual-focused machine learning-enhanced spatial evaluation of pandemic vulnerability through infection risk and vaccination accessibility. Applied Spatial Analysis and Policy, 19. 

4. Liu, D., Huang, J., Fang, D., Lee, J., Liu, Y., Wang, S. and Kan, Z., 2025. Assessment of the 15-minute park accessibility accounting for fine-grained 3D pedestrian network and subjective quality perception among the public housing residents. Urban Forestry & Urban Greening, 114, p.129165. 

5. Liu, D., Yang, Z., Kan, Z., Kwan, M.P. and Song, J., 2025. Real-time mobile sensing calibrated by random forest for spatiotemporal assessment of air pollution exposure distribution and inequality. Health & Place, 96, p.103579. 

6. Liu, D., Kan, Z., Wang, J., Kwan, M.P., Song, J. and Wei, J., 2025. Using spatially explicit high-granularity 3D geospatial data for quantifying public transport walking accessibility inequality and vulnerability in the x-minute city. Cities, 166, p.106245. 

7. Liu, D., Wei, J. and Kan, Z., 2025. Integrated transit service status assessment using smart transit card big data under the x-minute city framework. Journal of Transport Geography, 125, p.104189. 

8. Liu, D., Kan, Z., Kwan, M.P., Cai, J. and Liu, Y., 2025. Assessing the impact of socioeconomic and environmental factors on mental health during the COVID-19 pandemic based on GPS-enabled mobile sensing and survey data. Health & Place, 92, p.103419. 

9. Liu, D., Wang, J., Song, J., Kwan, M.P., Fang, D., Ariga, T., Chen, Y. and Stinckwich, S., 2025. Exploring the inequality in fine-grained primary healthcare accessibility in Macau based on high-resolution geospatial data under the 15-minute city framework. Applied Geography, 174, p.103473.

10. Liu, D., Kan, Z. and Lee, J., 2024. The proposal of a 15-minute city composite index through integrating GPS trajectory data-inferred urban function attraction based on the Bayesian framework. Applied Geography, 173, p.103451.

11. Liu, D., Kan, Z., Kwan, M.P. and Tang, L., 2024. Space-time analysis of refueling patterns of alternative fuel vehicles (AFVs) using GPS trajectory data and machine learning. Transactions in GIS, 28(8), pp. 2639-2651.

12. 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.

13. 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.

14. Liu, D., Kwan, M.P. and Wang, J., 2024. Developing the 15-minute city: A comprehensive assessment of the status in Hong Kong. Travel Behaviour and Society, 34, p.100666.

15. Liu, D., Lee, J., Zhong, S. and Gilliland, J., 2024. Echoes of home: Mapping vulnerable places for Cantonese-speaking immigrants seeking family doctors in the Greater Toronto Area. Health & Social Care in the Community, p. 1980874.

16. 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.

17. 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.

18. 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.

19. 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.

20. 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.

21. 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.

22. 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.

23. 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.

24. 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.

25. 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.

26. 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.

27. 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.

28. 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.

29. Wang, J., Liu, D.*, Schwanen, T., Nakaya, T., Agyemang, E. and Gilliland, J., 2026. Satellite-derived population-weighted NO2 exposure and inequality across African subnational regions for SDGs 3 and 11. International Journal of Applied Earth Observation and Geoinformation, 152, p. 105436.

30. Kan, Z., Huang, J., Liu, D.*, Pereira, R.H. and Gilliland, J., 2026. Integrated AI framework combining routing, computer vision, and large language models to assess urban park access disparities among people with and without mobility impairments. Sustainable Cities and Society, 147, p.107528.

31. Kan, Z., Wei, J., Schwanen, T., Kwan, M.P., Liu, D.* and Huang, J. 2026. A network-based approach to understand the risk of mobility-related social exclusion in spatiotemporal activities. Journal of Transport Geography, 134, p. 104712.

32. Ma, X., Liu, D.*, Park, Y., Zhou, H., Song, Y., Liu, H., Zhan, D., Wang, J. and Gilliland, J. 2026. Advancing air pollution exposure science using GeoAI: A review of progress, challenges, and future perspectives. Transactions in GIS., 30(5), e70351. 

33. Wang, S., Ma, R., He, J., Cheng, Z., Zheng, L., Bai, H., Ma, Y., Qin, X., Liu, D., Ding, H., Li, Y. and Kwan, M.P. 2026. Adaptive traffic congestion governance framework under population shrinkage: Evidence from 287 Chinese cities. Sustainable Cities and Society, 151, p.107985.

34. Wang, J., Kwan, M.P., Liu, D., Liu, Y. and Wang, L. 2026. From proximity to equity: Rethinking X-minute-city policies for accessibility equity through a spatial optimization perspective. Journal of Transport Geography, 132, p.104581.

35. Ma, X., Zhao, Z., Zhang, C., Liu, D., Cui, Q., Zhang, Y., Gong, Y., Liu, Y. 2026. Understanding cyclist route choice: A hierarchical adversarial inverse reinforcement learning approach to behavioral profiling. Journal of Transport Geography, 136, p. 104779.

36. Ahmed, N., Shaver H., Soukhov A., Liu, D., Voogt, J., Wang, J., Lee, J., 2026. Shade deserts: Mapping shade supply-demand gaps using hyperlocal microclimate simulations. Urban Forestry & Urban Greening, 123, p.129546.

37. Wang, L., Zhou, S., Kwan, M.P., Liu, D., Zhang, L. and Song, J., 2026. Space-based planning implications for age-friendly cities: Insights from spatial non-stationarity in multiple environment-health relationships. Cities, 169, p.106495.

38. Liu, Y., Wang, J., Kwan, M.P., Liu, D. and Song, L., 2026. How would travel contexts affect people’s perceptions and evaluations of urban green space?. Geography and Sustainability, 7(2), p.100419.

39. Wang, H., Zhang, Z., Qiu, Z., Ma, S., Zhou, W., Tong, Z., Yin, C. and Liu, D., 2026. The differential impact of PM2.5 on the health of vulnerable groups in the context of rapid urbanization: An empirical analysis based on Jiangsu province (2010–2020). Atmosphere, 17(5), p. 469.

40. Li, M., Li, X., Du, M., Liu, D. and Yang, J., 2026. Determinants of food delivery riders’ continued use intention of e-bikes under new policy regulations. World Electric Vehicle Journal, 17(3), p.160.

41. Wang, Z., Du, M., Li, X., Liu, D. and Yang, J., 2026. Acceptance of electric vehicles in the ride-hailing scenario of third-tier cities: A comparative study of full-time and part-time drivers in China. World Electric Vehicle Journal, 17(4), p.221. 

42. Fang, D., Liu, D. and Kwan, M.P., 2025. Evaluating spatial variation of accessibility to urban green spaces and its inequity in Chicago: Perspectives from multi-types of travel modes and travel time. Urban Forestry & Urban Greening, 104, p. 128593. 

43. Wang, J., Kwan, M.P., Liu, D., Liu, Y. and Wang, Y., 2025. 15-minute city beyond the urban core: Lessons from the urban-suburban disparity in PCR accessibility within the X-minute framework. Transportation Research Part A: Policy and Practice, 198, p. 104546. 

44. Fang, D., Kwan, M.P. and Liu, D., 2025. Evaluating the mismatch between urban greenery and cycling. Transportation Research Part D: Transport and Environment, 147, p. 104935.

45. Song, J., Zhou, S., Kwan, M.P., Liao, Y., Liu, D. and Zhang, X., 2025. Association between real-time noise exposure in broader activity contexts and job satisfaction: Evidence from Guangzhou, China. Cities, 161, p. 105912. 

46. Ahmed, N., Jui, J., Liu, D., Kim, K., Kim, J. and Lee, J., 2025. Understanding inequalities in geographic accessibility to emergency cyclone shelters in Bangladesh under climate change. Journal of Transport Geography, 123, p. 104134. 

47. Yang, Z., Kwan, M.P., Liu, D. and Huang, J., 2025. How objective and subjective greenspace, combined with air and noise pollution, impacts mental health through the mediation of physical activity. Urban Forestry & Urban Greening, 105, p.128683. 

48. Zheng, L., Kwan, M.P., Huang J. and Liu, D., 2025. Exploring the interaction between perceived risk and travel flexibility in daily mobility change: Evidence from Hong Kong’s COVID-19 pandemic. Travel Behaviour and Society, 40, p.101015. 

49. Li, Y., Zhang, Y., Kam, K.W., Chan, P., Liu, D., Zaabaar, E., Zhang, X.J., Ho, M., Ng, M.P.H., Ip, P., Young, A., Pang, C.P., Tham, C.C., Kwan, M.P., Chen, L.J. and Yam, J.C., 2025. Associations of long-term joint exposure to multiple ambient air pollutants with the incidence of age-related eye diseases. Ecotoxicology and Environmental Safety, 294, p. 118052. 

50. Zaabaar, E., Zhang, Y., Kam, K.W., Li, Y., Zhang, X.J., Ho, M., Liu, D., Ng, M.P.H., Ip, P., Young, A., Pang, C.P., Tham, C.C., Kwan, M.P., Chen, L.J. and Yam, J.C., 2025. Association of residential air pollution with visual impairment in adults: the UK Biobank study. Asia-Pacific Journal of Ophthalmology, p.100209.

51. Yue, Y., Yan, G., Lan, T., Cao, R., Gao, Q., Gao, W., Huang, B., Huang, G., Huang, Z., Kan, Z., Li, X., Liu, D., Liu, X., Ma, D., Wang, L., Xia, J., Yang, X., Zhou, M., Yeh, A., Guo, R. and Claramunt, C., 2025. Shaping future sustainable cities with AI-powered urban informatics: Toward human-AI symbiosis. Computational Urban Science, 5(31).

52. Wang, X., Peng, Z., Li, X., Du, M., Lyu, F., Kang, J.Y., Lee, K. and Liu, D., 2025. Analysis of the multi-scale spatial heterogeneity of factors influencing the electric bike-sharing travel demand in small and medium-sized cities. Sustainability, 17(23), p.10437.

53. Li, M., Du, M., Li, X., Liu, D. and Yang, J., 2025. Factors influencing urban residents’ continued usage intention of electric bikes under the new national standards. Sustainability, 17(22), p.10361.

54. Kim, Y.-H., Kim, G.-B., Wi, S.-Y., Ashraf, K., Lee, K.-J., Liu, D. and Jung, Y.-S., 2025. Impact of regional dental service availability on preventive dental utilization. Journal of Korean Society of Dental Hygiene, 25(6), pp.545-553.

55. Song, L., Liu, D., Kwan, M.P., Liu, Y. and Zhang, Y., 2024. Machine-based understanding of noise perception in urban environments using mobility-based sensing data. Computers, Environment and Urban Systems, 114, p.102204.

56. Wei, J., Kan, Z., Kwan, M.P., Liu, D., Su, L. and Chen, Y., 2024. Uncovering travel communities among older and younger adults using smart card data. Applied Geography, 173, p.103453.

57. Wang, L., Kwan, M.P., Zhou, S. and Liu, D., 2024. Assessing the affective quality of soundscape for individuals: Using third-party assessment combined with an artificial intelligence (TPA-AI) model. Science of The Total Environment, 953, p. 176083. 

58. Zheng, L., Kwan, M.P., Liu, Y., Liu, D., Huang, J. and Kan, Z., 2024. How mobility pattern shapes the association between static green space and dynamic green space exposure. Environmental Research, 258, p.119499. 

59. 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.

60. Du, M., Li, X., Wang, H., Yang, J., Liu, D. and Kwan, M.P., 2024. Investigating the influential factors of ride-hailing usage frequency in the post-pandemic era. Applied Sciences, 14(22), p.10722.

61. Du, M., Li, Z., Li, X., Xu, J., Liu, D. and Kwan, M.P., 2024. Understanding the spatial variation of integrated use of ride-hailing services with the metro. Journal of Advanced Transportation, 2024(1).

62. Yang, Z., Huang, J., Kwan, M.P. and Liu, D., 2024. The interplay among individuals’ distress, daily activities, and perceptions of COVID-19 and neighborhood cohesion: A study using network analysis. PLOS One, 19(1), p.e0293157.

63. 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.

64. 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.

65. 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.

66. 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. 

67. 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.

68. 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.

69. 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.

70. 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.

71. 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.

72. 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.

73. 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.

74. 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.