2024
[1] - Liu, J., Lai, Z., Meng, B., Guo, Z., & Liu, X. (2024). Assessing spatial configuration of barrier-free facilities from the perspective of age-friendliness: A case Study of Beijing, China. Applied Geography, 172, 103426.
2023
[2] Liu, J., Meng, B., & Shi, C. (2023). A multi-activity view of intra-urban travel networks: a case study of Beijing. Cities, 143, 104634.
[3] Liu, J., Meng, B., Xu, J., Li, R. (2023). Exploring public transportation supply–demand structure of Beijing from the perspective of spatial interaction network. ISPRS International Journal of Geo-Information, 12(6), 213.
[4] Guo, Z., Liu, J., Zhao, P., Liu, X., & Li, A. (2023). Spatiotemporal heterogeneity of the shared e-scooter–public transport relationships in Stockholm and Helsinki. Transportation Research Part D: Transport and Environment, 122, 103880.
2022
[5] Liu, J., Meng, B., Yang, M., Peng, X., Zhan, D., & Zhi, G. (2022). Quantifying spatial disparities and influencing factors of home, work, and activity space separation in Beijing. Habitat International, 126, 102621.
[6] Liu, H., Liu, J., Li, M., Gou, P., & Cheng, Y. (2022). Assessing the evolution of PM2. 5 and related health impacts resulting from air quality policies in China. Environmental Impact Assessment Review, 93, 106727. (Corresponding author)
[7] Zhan, D., Zhang, Q., Kwan, M.P., Liu, J., Zhan, B., & Zhang, W. (2022). Impact of urban green space on self-rated health: Evidence from Beijing. Frontiers in Public Health, 3025.
[8] Chen, S., Meng, B., Liu, N., Qi, Z., Liu, J., & Wang, J. (2022). Cultural perception of the historical and cultural blocks of Beijing based on weibo photos. Land, 11(4), 495.
[9] Tian, B., Meng, B., Wang, J., Zhi, G., Qi, Z., Chen, S., & Liu, J. (2022). Spatio-temporal patterns of fitness behavior in Beijing based on social media data. Sustainability, 14(7), 4106.
[10] Zhu, Y., Wang, J., Meng, B., Ji, H., Wang, S., Zhi, G., Liu, J., & Shi, C. (2022). Quantifying spatiotemporal heterogeneities in pm2. 5-related health and associated determinants using geospatial big data: a case study in Beijing. Remote Sensing, 14(16), 4012.
2021
[11] Liu, J., Meng, B., Wang, J., Chen, S., Tian, B., & Zhi, G. (2021). Exploring the spatiotemporal patterns of residents’ daily activities using text-based social media data: a case study of Beijing, China. ISPRS International Journal of Geo-Information, 10(6), 389.
[12] Liu, J., Meng, B., Chen, S., Chen, Z., & Zhan, D. (2021). Study on the relationship between dining activities of Beijing residents and urban space based on multi-sources big Data. Human Geography, 36(2), 63-72+183. (in Chinese)
[13] Wang, B., Meng, B., Wang, J., Chen, S., & Liu, J. (2021). Perceiving residents’ festival activities based on social media data: a case study in Beijing, China. ISPRS International Journal of Geo-Information, 10(7), 474.
[14] Zhi, G., Meng, B., Wang, J., Chen, S., Tian, B., Ji, H., … & Liu, J. (2021). Spatial analysis of urban residential sensitivity to heatwave events: case studies in five megacities in China. Remote Sensing, 13(20), 4086.