欢迎感兴趣的保研、考研、直博、考博学生联系，欢迎感兴趣的博士后、青年教师、科研助理、项目助理与实习生加入研究团队！

参考团队主页：https://bsailook.github.io/

国家/省市基金项目

• 202301-202512，国家级青年人才项目，主持，在研（城市微观人地关系智能识别与优化模拟技术）
• 202201-202512，国家自然科学基金面上项目：时空行为轨迹大数据支持下城市空间与居民行为的交互过程追踪与因果推断研究，主持，在研
• 202101-202312，深圳市科技创新委员会高校稳定支持重点项目: 行为视角下的城市建成环境评估与优化：基于大数据与机器学习算法，主持，结题
• 202004-202103，广东省自然科学基金面上项目：大数据支持下的粤港澳大湾区城市网络格局演变研究，主持，结题
• 202003-202302，深圳市基础研究面上项目：大数据支持下深圳市交通拥堵治理政策的评估与模拟技术，主持，结题
• 201908-202107，深圳市哲学社会科学规划课题：基于多源大数据的粤港澳大湾区城市网络格局与协调发展研究，主持，结题
• 201903-202103，深圳市科创委基础研究自由探索项目：基于复杂网络与强化学习的时空轨迹大数据行为模式识别与决策模拟技术，主持，结题
• 201901-202112，国家自然科学基金青年项目：机器学习算法辅助下城市居民多尺度移动行为决策过程与空间优化研究，主持，结题
• 201812-202212，科技部国家重点研发计划项目子课题：多重转型动力下村镇聚落空间响应模式，主持，结题
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技术研发与规划咨询项目

• 中规院，规划领域大语言模型的数据库建构、模型优化与应用开发，主持，在研
• 华东院，智能企业规划知识库检索增强生成开发项目，主持，在研
• 深圳海促中心，项目用海海域使用论证报告大语言模型技术服务，主持，在研
• 深圳房产信息中心，面向智慧城市的城市规划新媒体传播策略及实践研究，联合主持，结题
• 中国（福建）自由贸易试验区平潭片区管委会，平潭旅游自贸港发展战略研究（子课题三：平潭“智慧岛”与智慧产业发展战略研究），联合主持，结题

国家/省市基金项目

• 202412-202512，上海市教委人工智能促进科研范式改革赋能学科跃升计划项目重点项目：提升空间认知决策能力的城乡规划垂域大模型研发, 主持，在研
• 202301-202512 国家级青年人才项目，主持，在研（城市微观人地关系智能识别与优化模拟技术）
• 202201-202512，国家自然科学基金面上项目：时空行为轨迹大数据支持下城市空间与居民行为的交互过程追踪与因果推断研究，主持，在研
• 202101-202312，深圳市科技创新委员会高校稳定支持重点项目: 行为视角下的城市建成环境评估与优化：基于大数据与机器学习算法，主持，结题
• 202004-202103，广东省自然科学基金面上项目：大数据支持下的粤港澳大湾区城市网络格局演变研究，主持，结题
• 202003-202302，深圳市基础研究面上项目：大数据支持下深圳市交通拥堵治理政策的评估与模拟技术，主持，结题
• 201908-202107，深圳市哲学社会科学规划课题：基于多源大数据的粤港澳大湾区城市网络格局与协调发展研究，主持，结题
• 201903-202103，深圳市科创委基础研究自由探索项目：基于复杂网络与强化学习的时空轨迹大数据行为模式识别与决策模拟技术，主持，结题
• 201901-202112，国家自然科学基金青年项目：机器学习算法辅助下城市居民多尺度移动行为决策过程与空间优化研究，主持，结题
• 201812-2022.12，科技部国家重点研发计划项目子课题：多重转型动力下村镇聚落空间响应模式，主持，结题

规划咨询

• 中规院，规划领域大语言模型的数据库建构、模型优化与应用开发，主持，在研
• 深圳海促中心，项目用海海域使用论证报告大语言模型技术服务，主持，在研
• 深圳房产信息中心，面向智慧城市的城市规划新媒体传播策略及实践研究，联合主持，结题
• 中国（福建）自由贸易试验区平潭片区管委会，平潭旅游自贸港发展战略研究（子课题三：平潭“智慧岛”与智慧产业发展战略研究），联合主持，结题

主要论文：

• Li, B., and Zhang, W.* Enhancing Pedestrian Route Choice Models through Maximum-Entropy Deep Inverse Reinforcement Learning with Individual Covariates (MEDIRL-IC). IEEE Transactions on Intelligent Transportation Systems.
• Zhang, W.*, Wu, Y., & Deng, G. (2024). Social and spatial disparities in individuals’ mobility response time to COVID-19: A big data analysis incorporating changepoint detection and accelerated failure time models. Transportation Research Part A: Policy and Practice, 184, 104089.
• Zhu, H., Zhang, W.*, Huang, N., Li, B., Niu, L., Fan, Z., ... & Liu, X. (2024). PlanGPT: Enhancing urban planning with tailored language model and efficient retrieval. arXiv preprint arXiv:2402.19273.
• Zhang, W.*, & Li, C. (2024). Varying mobility adaptation to COVID-19 of residents in urban villages and commodity housing communities: A quasi-experimental analysis in Shenzhen, China. Cities, 145, 104711.
• Zhang, W.*, Liu, C., & Zhang, H. (2023). Public Acceptance of Congestion Pricing Policies in Beijing: The Roles of Neighborhood Built Environment and Air Pollution Perception. Transport Policy, 143, 106-120.
• Zhang, W., Liu, H., Lu, D. *, & Chai, Y. (2023). Varying Built Environment Contexts and Trip Chain Decisions: A Multinomial-Choice Gradient Boosting Decision Trees Analysis. Travel Behaviour and Society, doi.org/10.1016/j.tbs.2023.100684
• Zhang, W., Zhao, P., Niu, C.*, Thill, J. C., & Zhu, J. (2023). City networks and clusters as expressed in Chinese and Japanese languages: A multiscale network analysis with language-sensitive webpage big data. Cities, 141, 104502.
• Shao, Q., Zhang, W.*, Cao, X. J., & Yang, J. (2023). Built environment interventions for emission mitigation: A machine learning analysis of travel-related CO2 in a developing city. Journal of Transport Geography, 110, 103632.
• Liu, C., & Zhang, W.* (2023). Social and spatial heterogeneities in COVID-19 impacts on individual's metro use: A big-data driven causality inference. Applied Geography, 155, 102947.
• Niu, C., & Zhang, W.* (2023). Causal effects of mobility intervention policies on intracity flows during the COVID-19 pandemic: The moderating role of zonal locations in the transportation networks. Computers, Environment and Urban Systems, 102, 101957.
• Zhang, W.*, & Li, J. (2023). A quasi-experimental analysis on the causal effects of COVID-19 on urban park visits: The role of park features and the surrounding built environment. Urban Forestry & Urban Greening, 82, 127898.
• Zhang, W.*, & Ning, K. (2023). Spatiotemporal heterogeneities in the causal effects of mobility intervention policies during the COVID-19 outbreak: A spatially interrupted time-series (SITS) analysis. Annals of the American Association of Geographers, 113(5), 1112-1134.
• Zhang, W. *, Gong, Z., Niu, C., Zhao, P., Ma, Q., & Zhao, P. (2022). Structural changes in intercity mobility networks of China during the COVID-19 outbreak: A weighted stochastic block modeling analysis. Computers, Environment and Urban Systems, 96, 101846.
• Chen, J., Chen, L., Li, Y., Zhang, W., & Long, Y.* (2023). Measuring physical disorder in urban street spaces: a large-scale analysis using street view images and deep learning. Annals of the American Association of Geographers, 113(2), 469-487.
• Wang, Y., Zhao, P., Xie, S., & Zhang, W. *(2023). Mesoscale Structure in Urban–Rural Mobility Networks in the Pearl River Delta Area: A Weighted Stochastic Block Modeling Analysis. ISPRS International Journal of Geo-Information, 12(5), 183.
• Yang, H., Huo, J., Pan, R., Xie, K., Zhang, W., & Luo, X. (2022). Exploring built environment factors that influence the market share of ridesourcing service. Applied Geography, 142, 102699.
• Zhang, W. *, Lu, D., Zhao, Y., Luo, X., & Yin, J. (2022). Incorporating polycentric development and neighborhood life-circle planning for reducing driving in Beijing: Nonlinear and threshold analysis, Cities, 121, 103488.
• Shao, Q., Zhang, W.*, Cao, X. J., & Yang, J. (2022). Nonlinear and interaction effects of land use and motorcycles/E-bikes on car ownership. Transportation Research Part D: Transport and Environment, 102, 103115.
• Zhang, W., Lu, D. *, Chen, Y., & Liu, C. (2021). Land use densification revisited: nonlinear mediation relationships with car ownership and use. Transportation Research Part D: Transport and Environment, 98,102985.
• Zhang, W.*, Sun, B., & Zegras, C. (2021). Sustainable built environment and travel behavior: New perspectives, new data, and new methods, Transportation Research Part D: Transport and Environment,97,102966.
• Zhang, W.*, Zhu, J., & Zhao, P. (2021). Comparing world city networks by language: a complex-network approach. ISPRS International Journal of Geo-Information, 10(4), 219.
• Zhang, W.*, Ji, C., Yu, H., Zhao, Y., & Chai, Y. (2021). Interpersonal and intrapersonal variabilities in daily activity-travel patterns: a networked spatiotemporal analysis. ISPRS International Journal of Geo-Information, 10(3), 148.
• Shao, Q., Zhang, W.*, Cao, X., Yang, J., & Yin, J. (2020). Threshold and moderating effects of land use on metro ridership in Shenzhen: Implications for TOD planning. Journal of Transport Geography, 89, 102878.
• Zhou, L., Zhang, W.*, Fang, C., Sun, H., & Lin, J. (2020). Actors and network in the marketization of rural collectively-owned commercial construction land (RCOCCL) in China: A pilot case of Langfa, Beijing. Land Use Policy, 99, 104990.
• Zhang, W., Zhao, Y., Cao, X.J.*, Lu, D., & Chai, Y. (2020). Nonlinear effect of accessibility on car ownership in Beijing: Pedestrian-scale neighborhood planning. Transportation Research Part D: Transport and Environment, 86, p.102445.
• Zhang, W.*, Fang, C., Zhou, L., & Zhu, J. (2020). Measuring megaregional structure in the Pearl River Delta by mobile phone signaling data: A complex network approach. Cities, 104, 102809.
• Zhang, M. & Zhang, W. (2020). When context meets self-selection: The built environment–travel connection revisited. Journal of Planning Education and Research, 40(3), 304-319.
• Zhang, W. & Thill, J-C.* (2019). Mesoscale Structures in the World City Networks. Annals of the American Association of Geographers, 109:3, 887-908.
• Zhang, W.* & Zhang, M. (2018). Incorporating Land Use and Pricing Policies for Reducing Car Dependence: Analytical Framework and Empirical Evidence, Urban Studies, 55(13):3012-33.
• Najaf, P., Thill, J. C., Zhang, W., & Fields, M. G. (2018). City-level urban form and traffic safety: A structural equation modeling analysis of direct and indirect effects. Journal of Transport Geography, 69, 257-270.
• Zhang, W. & Thill, J.C.* (2017). Detecting and visualizing cohesive activity-travel patterns: A network analysis approach. Computers, Environment and Urban Systems, 66: 117-129.
• Zhang, W. & Kockelman, K.M.* (2016). Optimal Policies in Cities with Congestion and Agglomeration Externalities: Congestion Tolls, Labor Subsidies, and Place-based Strategies. Journal of Urban Economics, 95: 64–86.
• Zhang, W. & Kockelman, K.M.* (2016). Congestion Pricing Effects on Firm and Household Location Choices in Monocentric and Polycentric Cities. Regional Science and Urban Economics, 2016, 58: 1–12.
• Zhang, W.* (2016). Does Compact Land Use Trigger a Rise in Crime and Thus a Fall in Ridership? A Role for Crime in the Land Use-Travel Connection. Urban Studies, 2016, 53(14): 3007–3026.
• Zhang, W.* & Zhang, M. (2015). The Short- and Long-Term Effects of Land Use on Reducing Personal Vehicle Miles of Travel: A Longitudinal Multilevel Analysis. Transportation Research Record: Journal of the Transportation Research Board, No. 2500: 102–109.
• 肖映博，张文佳*，何诗. 香港居民跨境消费的移动性供给研究[J].地理研究，2024
• 张文佳*,王雨润,阴劼.深圳市高学历人才迁入格局时空演化与驱动因素——基于1980—2014年个体迁移大数据[J].地理科学, 2023,43(02):262-271.
• 武钰林,董卫华,张文佳*.基于行为实验的街区建成环境感知影响因素研究[J].城市规划, 2022,46(12):99-109.
• 张文佳*,牛彩澄,朱建成.行为网络视角下区域空间结构研究进展[J].地理科学进展, 2022, 41(08): 1504-1515.
• 罗雪瑶,张文佳*,柴彦威.15分钟生活圈的建成环境阈值效应研究[J].地理研究, 2022, 41(08): 2155-2170.
• 鲁大铭,赵雅静,张文佳*.中西方城市建成环境与出行行为研究比较[J/OL].国际城市规划:1-14[2022-11-02]. DOI: 10.19830/j.upi.2021.727.
• 张文佳*,鲁大铭.行为地理学的方法论与微观人地关系研究范式[J].地理科学进展, 2022, 41(01): 27-39.
• 张文佳*, 季纯涵, 谢森锴. 复杂网络视角下时空行为轨迹模式挖掘研究[J]. 地理科学, 2021, 41(9), 1505-1514.
• 张文佳, 李春江, 罗雪瑶, 柴彦威*.机器学习与社区生活圈规划：应用框架与议题[J]. 上海城市规划,2021, 04, 59-65.
• 张文佳*,柴彦威.时空间行为研究前沿专栏序言[J].人文地理,2021,36(02):1-2.
• 张文佳*,王梅梅.交通拥堵治理的空间与基础设施政策综述[J].人文地理,2021,36(02):20-26.
• 阴劼,司南,张文佳.租隙理论视角下的中国城市更新模式研究——基于深圳市的实证[J].城市规划,2021,45(01):39-45.
• 柴彦威,许伟麟,张文佳,李春江,李彦熙.新冠肺炎疫情精准防控的时空间行为地理学研究框架[J]. 地理科学, 2020, 40(10), 1585-1592.
• 赵旭,张文佳,阴劼.居民自建:规划之外的地方实践与地方智慧——以陕西省汉阴老城的更新与发展为例[J]. 城市规划, 2020, 44(05):89-96.
• 张文佳*,鲁大铭.影响时空行为的建成环境测度与实证研究综述[J].城市发展研究, 2019, 26(12): 9-16+26.

出版专著

• 张文佳,柴彦威 等著.城市时空行为规划研究[M],南京:东南大学出版社,2022.
• 张文佳, 谢森锴, 赵普, 赵毅, 阴劼 等著. 村镇聚落空间分析方法与应用研究[M],北京: 科学出版社,2022.
• Zhang, W.*, Kockelman, K., & Thill, J-C. (2020). City Land Use and Rent Dynamics with Location Externalities and Zoning Regulations. Thill, J-C. (ed). Innovations in Urban and Regional Systems: Contributions from GISandT, Spatial Analysis and Location Modeling. Springer.