Peng, Z., Lu, K., Liu, Y., & Zhai, W. (2024). The Pathway of Urban Planning AI: From Planning Support to Plan-Making. Journal of Planning Education and Research, 44(4), 2263-2279 [Text].
Liu, Y., Peng, Z., Hou, Q., & Lu, K. (2024). The Role, Opportunities, and Challenges of Generative AI in Comprehensive Planning of American Small Towns – Using ChatGPT as an Example (in Chinese). Journal of Urban Regional Planning, 16(1), 215-228.
Machine Learning & Deep Learning
Lu, K., Liu, Y., Peng, Z. (2025). Assessing the Impacts of Transit Systems and Urban Street Features on Bike-Sharing Ridership: A Graph-based Spatiotemporal Analysis and Prediction Model. Journal of Transport Geography, 128, 104356 [Text].
Miao, C., Peng, Z., Cui, A., He, X., Chen, F., Lu, K., ... & Chen, W. (2024). Quantifying and Predicting Air Quality on Different Road Types in Urban Environments Using Mobile Monitoring and Automated Machine Learning. Atmospheric Pollution Research, 15(3), 102015 [Text].
Wang, D., Wang, H., Lu, K., et al. (2022). Regional Prediction of Ozone and Fine Particulate Matter Using Diffusion Convolutional Recurrent Neural Network. International Journal of Environmental Research and Public Health, 19(7), 3988 [Text].
Wang, D., Wang, H., Li, C., Lu, K., et al. (2020). Roadside Air Quality Forecasting in Shanghai with a Novel Sequence-to-sequence Model. International Journal of Environmental Research and Public Health, 17(24), 9471 [Text].
Transportation Policy and Planning
Lu, K., Liu, Y., Peng, Z. (2025). Assessing the Impacts of Transit Systems and Urban Street Features on Bike-Sharing Ridership: A Graph-based Spatiotemporal Analysis and Prediction Model. Journal of Transport Geography, 128, 104356 [Text].
Lu, K., Liu, Y., Peng, Z. (2025). Unraveling Urban Bike-sharing Dynamics: Spatiotemporal Imbalances in Bike Rentals and Returns in Washington D.C. Cities, 162, 105967 [Text].
Liu, Y., Lu, K., Peng, Z., & Zhai, W. (2024). Autonomous Shuttle Acceptance in an American Suburban Context: A Revealed Preference Study in Lake Nona, Florida. Travel Behaviour and Society, 37, 100865 [Text].
Lu, K., Peng, Z. (2023). Impacts of Viaduct and Geometry Configurations on the Distribution of Traffic-related Particulate Matter in Urban Street Canyon. Science of the Total Environment, 858, 159902 [Text].
Lu, K., Wang, H., Li, X., et al. (2022). Assessing the Effects of Non-local Traffic Restriction Policy on Urban Air Quality. Transport Policy, 115, 62-74 [Text].
Zhao, H., He, H., Lu, K., et al. (2022). Measuring the Impact of an Exogenous Factor: An Exponential Smoothing Model of the Response of Shipping to COVID-19. Transport Policy, 118, 91-100 [Text].
Jia, Y., Lu, K., Zheng, T., et al. (2021). Effects of Roadside Green Infrastructure on Particle Exposure: A Focus on Cyclists and Pedestrians on Pathways Between Urban Roads and Vegetative Barriers. Atmospheric Pollution Research, 12, 1-12 [Text].
Urban Resilience
Yang, X., Li, X., Lu, K., & Peng, Z. (2023). Integrating Rural Livelihood Resilience and Sustainability for Post-disaster Community Relocation: A Theoretical Framework and Empirical Study. Natural Hazards, 116(2), 1775-1803 [Text].
Environmental Monitoring & Planning
Jin, M., Gallagher, J., Li, X., Lu, K., Peng, Z., & He, H. (2024). Characterizing the Distribution Pattern of Traffic-related Air Pollutants in Near-road Neighborhoods. Environmental Monitoring and Assessment, 196(8), 767 [Text].
Lu, D., He, H., Zhao, H., Lu, K., Peng, Z., & Li, J. (2023). Quantifying Traffic-related Carbon Emissions on Elevated Roads through On-road Measurements. Environmental Research, 231, 116200 [Text].
Wang, H., Hu, Q., Huang, C., Lu, K., He, H., & Peng, Z. (2023). Quantification of Gaseous and Particulate Emission Factors from a Cargo Ship on the Huangpu River. Journal of Marine Science and Engineering, 11(8), 1580 [Text].
Zhu, X., He, H., Lu, K., et al. (2022). Characterizing Carbon Emissions from China V and China VI Gasoline Vehicles Based on Portable Emission Measurement Systems. Journal of Cleaner Production, 378(10), 134458 [Text].
Zhao, H., He, H., Lu, K., et al. (2022). Characterizing the Distribution Pattern of Submicron and Coarse Particles on High-density Container Truck Roads through Mobile Monitoring. Atmospheric Pollution Research, 13(10), 101561 [Text].
Zhu, X., Lu, K., Peng, Z, et al. (2022). Spatiotemporal Variations of Carbon Dioxide (CO2) at Urban Neighborhood Scale: Characterization of Distribution Patterns and Contributions of Emission Sources. Sustainable Cities and Society, 78, 103646 [Text].
Cai, W., Wang, H., Wu, C., Lu, K., et al. (2021). Characterizing the Interruption-Recovery Patterns of Urban Air Pollution under the COVID-19 Lockdown in China. Building and Environment, 205, 108231 [Text].
Lu, K., He, H., Wang, H., et al. (2020). Characterizing Temporal and Vertical Distribution Patterns of Traffic-emitted Pollutants Near an Elevated Expressway in Urban Residential Areas. Building and Environment, 172, 106678 [Text].
Manuscripts Under Review
Deep Reinforcement Learning
Lu, K., Peng, Z. (2025). AI-Driven Approach to Optimize and Automate Shared Micromobility System Planning and Operation. (Under Preparation)
Transportation Policy & Planning
Lu, K., Liu, Y., Peng, Z. (2025). Spatial Dynamics of Shared Dockless E-scooter Usage in a University Town: Evidence from Gainesville, Florida. Travel Behaviour and Society. (Under Review)
Lu, K., Liu, Y., Peng, Z. (2025). Assessing the Impact of Dockless Shared E-scooters on Transit Accessibility and Ridership: Insights from Florida Cities for Multimodal Integration. Transportation Research Part A: Policy and Practice. (Under Review)
Liu, Y., Lu, K., Hou, Q., et al. (2025). Can Discounted Uber Rides Connecting to Transit Help Regain Bus Ridership? Evidence from Pinellas County, Florida. Transportation Research Part A: Policy and Practice. (Under Review)
Urban Resilience & Deep Learning
Lu, K., Liu, Y., Peng, Z., Zhai, W. (2025). Characterizing Performance Resilience of Transportation Networks against Extreme Weather Events. Applied Geography. (Under Review)
Lu, K., Liu, Y., Peng, Z., Zhai, W. (2025). Evaluating and Predicting Transportation Network Performance Resilience to Extreme Weather Events: A Spatiotemporal Multi-Graph Diffusion Convolutional Recurrent Neural Network (ST-MGDCRNN) Approach. IEEE Transactions on Intelligent Transportation Systems (T-ITS). (Under Review)
Book Chapters
Peng, Z., Lu, K., Jin, M., et al. (2022). China’s Metro Explosion: Lessons from China’s Big Four Cities. In: Landis, J. D. (eds) Megaprojects for Megacities. Edward Elgar Publishing, Inc., USA [Text].
Peng, Z., Zhai, W., Lu, K. (2022). Smart, Sustainable, and Resilient Transportation System. In: Li, B., Shi, X., Zhu, AX., Wang, C., Lin, H. (eds) New Thinking in GIScience. Springer, Singapore [Text].
Presentations & Talks
Conference Presentations
2025.01: Transportation Research Board 104th Annual Meeting. Characterizing Performance Resilience of Transportation Networks against Extreme Weather Events. Washington D.C., USA.
2025.01: Transportation Research Board 104th Annual Meeting. Integrating Public Transit Effects and Street View Imagery into a Dynamic Spatiotemporal Graph-based Machine Learning Model for Predicting Bike-sharing Ridership. Washington D.C., USA.
2024.11: Association of Collegiate Schools of Planning (ACSP) Conference. Impact of Shared Micromobility System Sizes on Usage Patterns: Planning Implications. Seattle, WA, USA.
2024.07: The 18th International Association for China Planning (IACP) Conference. Impact of Shared Micromobility System Sizes on Usage Patterns and its Planning Implications. Hangzhou, China.
2024.01: Transportation Research Board 103rd Annual Meeting. Demystifying the Spatiotemporal Heterogeneity of Rental-Return Imbalance on Bike-Sharing Systems: A Bayesian Additive Regression Trees (BART) Model. Washington D.C., USA.
2023.10: Association of Collegiate Schools of Planning (ACSP) Conference. Leveraging Deep Learning with Geospatial Data Analytics for Quantification and Prediction of Performance Resilience of Transportation Networks against Extreme Weather Events. Chicago, IL, USA.
2023.07: The 17th International Association for China Planning (IACP) Conference. Using Origin-Destination Flow Graph and Public Transit Information to Enhance Short-Term Ridership Prediction in Bike-Sharing Systems. Tianjin, China.
2023.01: Transportation Research Board 102nd Annual Meeting. Characterization and Prediction of Transportation Network Resilience: A Spatiotemporal Graph Diffusion Convolutional Recurrent Neural Network Approach. Washington D.C., USA.
2023.01: Transportation Research Board 102nd Annual Meeting. Characterizing Carbon Emissions from China V and China VI Gasoline Vehicles Based on Portable Emission Measurement Systems. Washington D.C., USA.
2023.01: Transportation Research Board 102nd Annual Meeting. Characterizing the Traffic-related Carbon Emission Factors on Elevated Roads Based on On-road Measurements. Washington D.C., USA.
2021.01: Transportation Research Board 100th Annual Meeting. Investigating Pedestrians’ Exposure to Traffic-Related PM and BC at Intersections: A Case Study in Shanghai, China. Washington D.C., USA.
2020.01: Transportation Research Board 99th Annual Meeting. Characterization of Traffic-related Pollutant Distribution Patterns in Urban Residential Areas with an Elevated Expressway. Washington D.C., USA.
Invited Talks
2024.06: Guest Lecture at Chang’an University. Integrating Public Transit Effects and Street View Imagery into a Dynamic Spatiotemporal Graph-Based Machine Learning Model for Analyzing and Predicting Bike-Sharing Ridership. Xi’an, China.