Fabusuyi T., Wang Y., Mirzanezhad M., and Twumasi-Boakye R. "Building a Scalable Nationwide Approach for Small Area Estimations." UM Innovation Partnerships Invention Report #2025-256.

Fabusuyi T. and Mirzanezhad M. “Energy efficient sampling for last- mile delivery systems.” U.S. Pat. App. No. 18/510,077-Conf. #5703. https://patents.google.com/patent/US20240167822A1/en

Fabusuyi T., Hampshire R., & Hung P. “Braid: A Virtual Collaborative and Knowledge Network Platform for underrepresented Public Interest Technology (PIT) Practitioners.” U-M Innovation Partnerships Invention Report #2024-192. More information available at https://available-inventions.umich.edu/product/braid

Johnson, M.P., Fabusuyi, T., Hesari, E. and S. Chu. (2025). How Inclusive are Degree Programs in Operations Research and Analytics in the U.S.? Forthcoming, INFORMS Transactions on Education. Ahead of print version available at https://doi.org/10.1287/ited.2023.0050 

Mirzanezhad M., Twumasi-Boakye R. & Fabusuyi T., (2024) Generating Online Freight Delivery Demand during COVID-19 using Limited Data. Transportation Research Part B: Methodological. Volume 190, 103100. https://doi.org/10.1016/j.trb.2024.103100

Johnson M., Dijkstra-Silva S., Fabusuyi, T.; Hesari E. & Oelrich S. (2024) Advancing diversity, equity, and inclusion (DEI) principles in the operations research, operations management, and supply chain management literature: A literature review approach. Production and Operations Management (POM). Express version available at https://doi.org/10.1177/10591478241281054

Fabusuyi, T., and Johnson, M. (2022) Enhancing the Quality and Social Impacts of Urban Planning through Community-Engaged Operations Research. Environment and Planning B: Urban Analytics and City Science. Online version available at https://doi.org/10.1177/23998083211054851

Fabusuyi, T., Twumasi-Boakye, R., Broaddus, A., Fishelson, J. & Hampshire, R. C. (2020) Estimating Small Area Demand for Online Package Delivery. Jour of Transport Geography, Vol 88, 102864 https://doi.org/10.1016/j.jtrangeo.2020.102864

Fabusuyi, T., Hampshire R., & Qian S. (2020) Profiling Commuters’ Travel Behavior in the Pacific States of the Continental United States. Transport Research Procedia Vol 48, pp 1644-1656. doi.org/10.1016/j.trpro.2020.08.205

Fabusuyi, T., and Hill V. (2020) Designing an integrated smart parking application. Transport Research Procedia Vol 48, pp 1060-1071. doi.org/10.1016/j.trpro.2020.08.133

Di, X., Fabusuyi, T., Simek, C., Chen, X., & Hampshire, R.C. (2019) “Inferred Switching Behavior in Response to Re-entry of Uber and Lyft: A Revealed Study in Austin, TX”, Transport Findings. doi.org/10.32866/7568

Fabusuyi T., and Hampshire R. C. (2018) “Rethinking Performance Based Parking Pricing: A Case Study of SFpark” Transportation Research Part A: Policy and Practice Volume 115, pp 90-101. doi.org/10.1016/j.tra.2018.02.001

Fabusuyi T. (2018) “Is Crime a Real Estate Problem? A case study of the neighborhood of East Liberty, Pittsburgh, Pennsylvania” European Journal of Operational Research (EJOR) Volume 268, #3. doi.org/10.1016/j.ejor.2017.12.003

Fabusuyi T., Hampshire R., Hill V. & Sasanuma K. (2014) “Decision Analytics for Parking Availability in Downtown Pittsburgh” Interfaces (INFORMS Journal on Applied Analytics), 44(3). doi.org/10.1287/inte.2014.0743

Fabusuyi T., Hampshire R., & Hill V. (2013) "Evaluation of a Smart Parking System" Transportation Research Records: Journal of the Transportation Research Board of the National Academies, # 2359 – Car Sharing, Demand Management and Parking. Washington D.C. doi.org/10.3141/2359-02 

Fabusuyi, T., Wang, Y., Mirzanezhad, M. & Twumasi-Boakye, R. A Scalable Methodology for Estimating E-Commerce Volume at Localized Geographic Levels . Transportation Research Board Annual Meetings, Washington, D.C. January 2026

Fabusuyi T. and Wang Y., Trips Not Taken: Profiling the Extremes of Transportation Insecurity. Paper panel on “Understanding Food and Transportation Security and Policies to Address Them”. Association of Public Policy Analysis and Management (APPAM) Fall Research Conference, Seattle, WA (Nov 2025) 

Fabusuyi T. and Wang Y., Innovative Approaches for Small Area Estimation Methods. Panel presentation on Small Area and Geographic Estimation with New Data and Methods”. Association of Public Policy Analysis and Management (APPAM) Fall Research Conference, Seattle, WA (Nov 2025) 

Wang, Y., & Fabusuyi, T. "Rethinking Traffic Flow Analysis: A Physics-Informed Machine Learning Approach". Intelligent Transportation System (ITS) America World Congress, Atlanta, GA, United States of America, August 2025 

Jordon, D., Hampshire, R., & Fabusuyi, T. Inferring Parking Occupancy from Smart Parking Meter Data. Forthcoming book chapter, Computational Urban Planning and Urban Management (CUPUM) conference, UCL London, June 2025 

Fabusuyi, T., Wang, Y., & Mirzanezhad, M. On-Demand Delivery: Estimation, Routing and improving Last Mile Solutions. Symposium on Applied Urban Modelling (AUM 2024), Cambridge, England June 2024 

Mirzanezhad, M., Twumasi-Boakye, R., Broaddus, A., & Fabusuyi, T., Estimating Demand for Online Delivery using Limited Historical Observations. Transportation Research Board Annual Meetings, Washington, D.C. January 2023

Fabusuyi et al., Enhancing Food Security for Families Vulnerable to COVID-19. Paper on “From Food Access to Food Insecurity: Understanding Barriers and Opportunities before, during, and after the Pandemic”. Association of Public Policy Analysis and Management (APPAM) Fall Research Conference, Austin, TX (March 2022)

Weinberger, R., Millard-Ball, A., Hampshire, R., Calvin, E., Mandeville, C., Fabusuyi, T., and Greenberg, A. GPS Enabled Identification of Cruising for Parking. TRR: Transportation Research Board of the National Academies, Washington, D.C. January 2022

Jordon, D., Hampshire, R., and Fabusuyi, T., Estimating Parking Occupancy using Smart Meter Transaction Data. Transportation Research Board Annual Meetings, Washington, D.C. January 2022

Fabusuyi T. “Smart Cities: “Towards a Functional Definition” 17th International Conference on Computational Urban Planning and Urban Management (CUPUM), Helsinki, Finland, June 2021

Fangzhou, Y., Luo, Q., Fabusuyi, T., & Hampshire, R. C. “A Heuristic for Learning and Optimizing New Mobility Services with Equity and Efficiency Metrics”. Transportation Research Board (TRB) of the National Academies Annual Meeting, Jan 2020 (Revise and resubmit, Transportation Research Part E: Logistics and Transportation Review)

Fabusuyi T. and Johnson M. P., Urban Planning & Operations Research: A Review and Critique. Association of Collegiate Schools of Planning (ACSP) Annual Conference. Greenville, SC (Oct 2019)

Fabusuyi T., Does the Disruption of Uber/Lyft Ride-Sharing Services Impact Users’ Vehicle Acquisitions? Association of Public Policy Analysis and Management (APPAM) International Conference, Mexico City, Mexico (July 2018)

Fabusuyi T., and Pfeffer J. “Applying a hybrid Input-Output Model and Network Analysis to Regional Economies” IEEE Smart Cities Conference (ISCS), Kansas City, MO 2018. 10.1109/isc2.2018.8656698

Hampshire R.C., Simek C., Fabusuyi T., Di X., & Chen X. “Measuring the Impact of an Unanticipated Disruption of On-Demand Ride Services in Austin, Texas” Transportation Research Board Annual Meeting, Washington, D.C. 2018

Cai Y., Li X., Fabusuyi T., Molnar L. J. & Hampshire R. C.  “A Statewide Pedestrian Crash Risk Assessment for Michigan: An application of the Model of Pedestrian Demand (MoPED)” Transportation Research Board Annual Meeting, Washington, D.C 2018

Fabusuyi T., and Hampshire R. “Addressing Parking Challenges in Downtown Pittsburgh” Proceedings of the 14th Computers in Urban Planning and Urban Management (CUPUM) Conference, Cambridge, MA, 2015

Hampshire  R.C., Fabusuyi T., Hill V. and Sasanuma K., “Predictive Modeling for Smart Parking: Case of ParkPGH” Proceedings of the 18th World Congress of the Intelligent Transportation Systems, Orlando, FL, 2011 

National Institute of Health (NIH) Community Partnerships to Advance Science for Society (ComPASS) Award # OT2OD035839 (Nov 2023 – Oct 2033), NIH Common Fund, ~$12million (U-M Portion - $660,000), U-M PI

Michigan Mobility Wallet Challenge (Aug 2023 – Dec 2026), M-DOT, $2million (U-M Portion - $150,000), U-M PI

A Knowledge Network for Underrepresented Public Interest Technology (PIT) Entrepreneurs (Oct 2022 – June 2023), New America/Ford Foundation, $140,000, Principal Investigator

CIVIC Innovation Challenge Planning Grant. CIVIC-PG Track B: Understanding Native American Tribal Residents Needs through Better Data and Query Systems (Oct 2022 – Mar 2023), National Science Foundation, $50K, Co-Principal Investigator

Helping Obtain Prosperity for Everyone (HOPE) Grant (Jan 2022 – March 2023), U.S Department of Transportation Federal Transit Administration (FTA), $750,000 (U-M Portion - $75,000), U-M Principal Investigator

FIDES - Framework for Integrative Data Equity Systems (September 2019 – August 2023), National Science Foundation, $762,300, Co-Principal Investigator

On Demand Delivery Estimation and Routing (June 2021 – May 2023), Ford U-M Alliance Grant, $205,000, Principal Investigator

Improving Transportation Equity to Enhance Food Security for Families Vulnerable to COVID-19 (June 2020 – June 2021), National Science Foundation RAPID Grant, $160,000, Co-Principal Investigator

Network for Equity in the Era of Driverless Vehicles (2019-2020), National Science Foundation, $950,000, Co-Principal Investigator

Value added activities for On-demand shuttles (2018-2020), Ford Motor Co, $200,000, Co-PI

Measuring the Impact of an Unanticipated Disruption of On-Demand Ride Services in Austin, Texas (2017). NSF RAPID Grant Phase I & II, $48K, Co-Principal Investigator

Predictive Parking Model Application (2014), NSF Innovation-Corps (I-Corps) Program, ($50K), Entrepreneurial Lead 

1. Fabusuyi T., and Hampshire R, (2017). “The Mode Most Traveled: Transportation Infrastructure Implications and Policy Responses” In: Geertman S. et al (eds) Planning Support Science for Smarter Urban Futures, Basel, Switzerland. Springer International Publishing. https://doi.org/10.1007/978-3-319-57819-4_16 

Weinberger R., Millard-Ball A., Fabusuyi T., Calvin E., Blackburn J., & Neuner M. Parking Cruising Analysis Methodology Project Report. Report # FHWA-HOP-23-004. Completed under contract # DTFH61116D00053L. March 2023. Report available at https://trid.trb.org/view/2166114. Public abstract and technical documentation available at https://ops.fhwa.dot.gov/publications/fhwahop23004/form.htm. 

Hampshire R. C., Fabusuyi T., Misra A. & Jagadish H. V. Improving Transportation Equity to Enhance Food Security for Families Vulnerable to Covid-19," NSF Grant Award # 2029518 - Final Project Report. July 30, 2021. Outcomes report available at https://www.nsf.gov/awardsearch/showAward?AWD_ID=2029518&HistoricalAwards=false

Fabusuyi T., Taketa J. & Hampshire R. “Building Career Pathways for Diverse Public Interest Technology Entrepreneurs,” New America June 30, 2021. https://www.newamerica.org/pit/reports/building-career-pathways-for-diverse-public-interest-technology-entrepreneurs/

Cai Y., Li X., Fabusuyi T., Molnar L. J. & Hampshire R. C. Developing Michigan Pedestrian and Bicycle Safety Models. Michigan Department of Transportation. Report completed under contract # 2016-0068 Z1 May 2018

Johnson M., & Fabusuyi T. (Sept 2023) New Laws Are Putting the Well-Being of University Faculty, Staff and Students, and Our Institutions, At Risk: Here’s What We Can Do. OR/MS Today OpEd  https://doi.org/10.1287/orms.2023.03.12

Hampshire R., Taketa J. & Fabusuyi T. (May 2022) Keys to Unlocking an Inclusive and Just Tech Future. Public Interest Tech Series #4, Stanford Social Innovation Review (SSIR). https://doi.org/10.48558/VA4Y-7778 

Weinberger, R., Millard-Ball, A., Hampshire, R., Calvin, E., Mandeville, C., Fabusuyi, T., and Greenberg, A. (Jan 2022) “New FHWA Tool to Enable Cities to Measure and Ultimately Reduce Parking Cruising” Parking & Mobility. https://parking-mobility-magazine.org/january-2022/featured-january-2022/bringing-understanding-to-the-cruising-phenomenon/

Fabusuyi T. (Dec. 2016). “The Mode Most Traveled: Parking Implications and Policy Responses” (Doctoral Dissertation, Carnegie Mellon University, Pittsburgh, PA). Available at http://dx.doi.org/10.2139/ssrn.3757806

Fabusuyi T. & Hampshire R. (Feb 2012) “Predictive Parking” IPMI The Parking Professional.  

Fabusuyi T., Hamasuna T. & Sasanuma K. Demand Balancing for Efficient Delivery Services using Anytime Delivery Option. Submitted, 2026 World Conference  on Transport Research (WCTR), Toulouse, France. July 2026 

Fabusuyi T., Hung P., Hsieh C. and Hampshire R. Braid: Elevating Underserved PIT Practitioners and Students Voices through Collaborative Online Storytelling. Technovation, Manuscript # TECHNOVATION-D-24-00592 

Fabusuyi T., Smart Cities: Towards a Functional Definition. To be submitted, Journal of Urban Tech. Extended abstract available at https://par.nsf.gov/servlets/purl/10354936