武文杰课题组依托国家社会科学基金重大项目“城市微观公共服务空间配置优化与可及性评估研究”，积极开展调研与数智化建模，取得了显著的研究进展。武文杰教授担任《Landscape and Urban Planning》、《Urban Forestry & Urban Greening》、《Applied Geography》、《Transportation Research Part D》等国际知名期刊专刊的客座主编，成功组织了多个高质量专刊。课题组的研究成果在第十四届西湖城市学金奖评选中荣获“十佳点子奖”，充分展示了其在城市治理与公共服务配置研究领域的创新性和实践价值。
课题组高度重视青年教师的培养，通过参与重大项目，青年教师在研究能力与论文发表方面均取得了显著提升。课题组成员伍杨屹与蔡萌老师分别获批国家自然科学基金青年基金项目。蔡萌老师获批了北大-林肯中心研究基金项目。课题组在《Landscape and Urban Planning》、《城市规划》等国内外重要期刊上发表了多篇高水平论文。
代表性论文发表成果如下：
1. 武文杰 和 孙瑞宁. (2024). 城市公共服务设施可及性评价的理论与方法. 城市规划, 48(1), 65–70.
2. Wu, W., Cao, M., Wang, F., & Wang, R. (2024). Nonlinear influences of landscape configurations and walking access to transit on travel satisfaction. Transportation Research Part A: Policy and Practice, 189, 104232.
3. Wang, F., Zheng, Y., Cai, C., Hao, S., Wu, W*. (2024). Multiple reference points of commute time in commute satisfaction. Transportation Research Part D: Transport and Environment, 129, 104115.
2. Wu, W., Tan, W., Wang, R., & Chen, W. (2023). From quantity to quality: Effects of urban greenness on life satisfaction and social inequality. Landscape and Urban Planning, 238, 104843.
3. Wu, Y., Wei, Y. D., & Liu, M. (2025). Urban equity of park use in peri-urban areas during the Covid-19 pandemic. Landscape and Urban Planning, 256, 105269.
4. Wei, Y. D., Wu, Y.*, & Li, H. (2024). Institutions, urban space, and residential markets in globalizing Shanghai: A comparative study of housing sale and rental prices. Journal of Urban Affairs, 1–24. https://doi.org/10.1080/07352166.2023.2285465
5. Wu, Y., Wei, Y. D., Liu, M., & García, I. (2023). Green infrastructure inequality in the context of COVID-19: Taking parks and trails as examples. Urban Forestry & Urban Greening, 86, 128027.
6. Tan, W., Cai, M.*, & Sun, Y. (2025). From land-based to people-based: Spatiotemporal cooling effects of peri-urban parks and their driving factors in China. Landscape and Urban Planning, 254, 105243.
7. Tian, P., Cai, M.*, & Sun, Z. (2024). Effects of 3D urban morphology on CO2 emissions using machine learning: Towards spatially tailored low-carbon strategies in Central Wuhan, China. Urban Climate, 57, 102122.
8. Cai, M., Xiang, L., & Ng, E. (2023). How does the visual environment influence pedestrian physiological stress? Evidence from high-density cities using ambulatory technology and spatial machine learning. Sustainable Cities and Society, 96, 104695.
