Ongoing Projects:
  1. COVID-19 Impacts on Transit, Scooter, and Bikeshare Ridership: Our main research initiative will be to survey riders of shared mobility systems in Portland, Oregon and Nashville, Tennessee as we proceed through the COVID-19 crisis. We will survey transit riders, bike share users, and scooter share users. We are hopeful that the findings will lend national insight into how riders decide to return to transit. 
  2. The ME-Bike Study: Current practices of tracking e-bike data rely on memory recall and self-reporting from the user. Our approach will instead leverage smartphones to conduct ad-hoc travel surveys to supplement passive data collection and, using machine learning algorithms, create the largest and richest dataset to support the growth of e-bike use as a transportation option.
  3. Understanding micromobility safety behavior and standardizing safety metrics for transportation system integration: The purpose of this study is to accelerate shared learning around micromobility safety impacts and to fast-track improvements to injury surveillance of emerging modes such as e-scooters and related micromobility devices (e-bikes, electric skateboards, hoverboards, etc.) used on and around city streets, etc. The primary aim will be vehicles in shared mobility systems. Specific tasks will include: Establish available data sources to support safety evaluations across multiple geographies. Engage stakeholders, examine current practices, and identify approaches to enhance injury surveillance systems. Development and deployment of a behavior-oriented survey instrument. Formulate data structure for continuous tracking and analysis of micromobility sharing safety.
  4. Integrating Spatial Safety Data into Transportation Planning Processes: One of the key steps that is usually neglected in the transportation planning process is safety evaluation of the proposed alternatives, or safety is assessed as a separate post-process. Integrating safety into the planning process will contribute to safe systems analysis, explicitly including safety outcomes with planning models and alternative planning scenarios. In this project, we will use the address of individuals who were involved in traffic crashes (i.e., home-based approach; HBA) instead of the location of the crashes (i.e., location-based approach; LBA) to evaluate road safety. 
Selected Recent Publications (See my Google Scholar here)
  1. Shah, N., I. Buckner, C.R. Cherry (2020) A jughandle design will virtually eliminate single bicycle crashes at a railway crossing. Journal of Transport and Health. 
  2. McQueen, M., MacArthur, J., & Cherry, C. (2020). The E-Bike Potential: Estimating regional e-bike impacts on greenhouse gas emissions. Transportation Research Part D: Transport and Environment, 87, 102482. 
  3. Afghari, A. P., Hezaveh, A. M., Haque, M. M., & Cherry, C. (2020). A home-based approach to understanding seatbelt use in single-occupant vehicles in Tennessee: Application of a latent class binary logit model. Accident Analysis & Prevention, 146, 105743. 
  4. Naumann, R., K. Shiue, A.M. Hezaveh, S. Marshall, C. Cherry (2019) Connections between opioids and road injury: linkage of prescription monitoring and crash databases. American Journal of Preventive Medicine.
  5. A.M. Hezaveh, R. Arvin, C. Cherry (2019) A geographically weighted regression to estimate the comprehensive cost of traffic crashes at a zonal level. Accident Analysis and Prevention. 131 pg 15-24.
  6. Ling, Z, C. Cherry, H. Yang (2019) Emerging mini electric cars in China: User experience and policy implications. Transportation Research Part D: Transport and Environment. 69 pg 293-304.
  7. Weber, J. W. Riggs, C. Cherry, M. Azad (2018) The Convergence of Smartphone Apps, Behavioral Economics, and Competition to Increase Cycling. Transportation Research Part F: Psychology and Behavior. 56 pg 333-343. 
  8. Hezaveh, A.M, M.F.  Zavareh, T. Nordfjærn, C. Cherry (2017) Errors and Violations in Relation to Bicyclists Crash Risks: Development of the Bicycle Rider Behavior Questionnaire (BRBQ). Journal of Transport & Health.
  9. Ling, Z., C. Cherry, J. Macarthur, J. Weinert (2017) Differences of Cycling Experiences and Perceptions between E-bike and Bicycle Users in the United States. Sustainability 9(9), 1662; doi:10.3390/su9091662
  10. Ling, Z., C. Cherry, N. Dhakal (2017) Factors influencing single-bicycle crashes at skewed railroad grade crossings. Journal of Transport and Health. https://doi.org/10.1016/​j.jth.2017.01.004 
  11. Langford, B.C., C. Cherry, D. Bassett, E. Fitzhugh, N. Dhakal (2017) Comparison of Walking, Conventional Bicycles, and Pedal Assist Electric Bikes: Effects on Physical Activity and Travel Time. Journal of Transport & Health. http://dx.doi.org/10.1016/j.jth.2017.06.002.
  12. Campbell, A., C. Cherry, M. Ryerson, L. Jones, X. Yang (2016) Factors influencing the choice of shared bicycles and shared electric bikes in Beijing. Transportation Research Part C: Emerging Technologies. 67. Pg 399-414. 
  13. Khatri, R., C. Cherry, S. Nambisan, L. Han (2016) Modeling route choice of bikeshare users with GPS data. Transportation Research Record: Journal of the Transportation Research Board. 2587. 10.3141/2587-17.