1 |
Liu, X., Z. Huang and W. Jian (2025). Nonlinear effects of multilevel factors on public transport commuting in China’s cities. Transportation Research Part D: Transport and Environment 143: 104724. |
2 |
黄正东, 张帅兵, 涂伟, 高位, 郭仁忠. 基于社会经济连接价值的粤港澳大湾区城际铁路建设次序研究[J]. 地理科学进展, 2025, 44(3): 525-533. |
3 |
Huang, J., Z. Huang* and W. Liu (2025). Combining the WRF model and LCZ scheme to assess spatiotemporal variations of thermal comfort in Shenzhen's built-up areas. Sustainable Cities and Society 122: 106252. |
4 |
Liu, W., Z. Huang*, D. Cui, D. Ma, S. Mei and R. Guo (2025). Impact of street interface permeability on ventilation and pollutants dispersion in urban street spaces. Building and Environment 274: 112779. |
5 |
Tu, W., W. Gao, M. X. Li, Y. Yao, B. He, Z. D. Huang, J. Zhang and R. Z. Guo (2024). Spatial cooperative simulation of land use-population-economy in the Greater Bay Area, China. International Journal of Geographical Information Science 38(2): 381-406. |
6 |
Zhao, T., Z. Huang, W. Tu, F. Biljecki and L. Chen (2023) Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus. International Journal of Geographical Information Science 37(7): 1555-1581. |
7 |
Yu, X., Q. Li, Z. D. Huang and R. Z. Guo (2022). Characterising population spatial structure change in Chinese cities. Cities 123: 103555. |
8 |
Zhao, T., Z. Huang, W. Tu, B. He, R. Cao, J. Cao and M. Li (2022) Coupling graph deep learning and spatial-temporal influence of built environment for short-term bus travel demand prediction. Computers, Environment and Urban Systems 94: 101776. |
9 |
黄正东, Michael Batty, 叶嘉安, 陈军, 史文中, 郭仁忠 (2021) 特大城市群协同:进展与路径, 地理信息世界. 28 (05) 5-14. |
10 |
Zhang, Y., Huang, Z., & Wen, S. (2020) Spatiotemporal variations of in-cabin particle concentrations along public transit routes, a case study in Shenzhen, China. Building and Environment, 180, 107047. |
11 |
Xia, J., K.M. Curtin, J. Huang, D. Wu, W. Xiu, Z. Huang. (2019) A carpool matching model with both social and route networks. Computers, Environment and Urban Systems 75: 90-102. |
12 |
李伟,黄正东(2018)基于POI的厦门城市商业空间结构与业态演变分析.现代城市研究,2018(04):56-65. |
13 |
Huang, Z., M. Zhang, X. Liu (2017) Estimating light-rail transit peak-hour boarding based on accessibility at station and route levels in Wuhan, China. Transportation Planning and Technology. 40(5): 624-639. |
14 |
Huang, Z.D., Liu, X., Huang, C., Shen, J. (2010) A GIS-based framework for bus network optimization using genetic algorithm. Annals of GIS, Vol. 16, No. 3, pp185 - 194. |