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 Publications (See my Google Scholar here)
  1. 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.
  2. 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.
  3. 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.
  4. Yang, H., Y. Liu, F. Su, X. Liu, C. Cherry (2018) Predicting e-bike users’ intention to run the red light: An application and extension of the theory of planned behavior. Transportation Research Part F: Psychology and Behavior. 58 pg 282-291.
  5. Yang, H., C. Cherry, F. Su, Z. Ling, Z. Pannell, Y. Li, Z. Fu (2018) Underreporting, Crash Severity, and Fault Assignment of Minor Crashes in China—A Study Based on Self-Reported Surveys. International Journal of Injury Control and Safety Promotion. DOI: 10.1080/17457300.2018.1476382.
  6. 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. 
  7. 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.
  8. Lu, X., H. Yang, C. Cherry, X. Liu (2017) Spatial Variations in Active Mode Volume at Intersections: A Local Analysis Utilizing Geographically Weighted Regression Approach. Journal of Transport Geography. 64 pg 184-194.
  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. Yang, X., J.E. Day, B.C. Langford, C. R. Cherry, L.R. Jones, S.S. Han, J. Sun (2016). Commute responses to employment decentralization: Anticipated versus actual mode choice behaviors of new town employees in Kunming, China. Transportation Research Part D. http://dx.doi.org/10.1016/ j.trd.2016.11.012
  13. Yang H., CR Cherry, R Zaretzki, MS Ryerson, X Liu, Z Fu. (2016) A GIS‐based method to identify cost‐effective routes for rural deviated fixed route transit. Journal of Advanced Transportation. 10.1002/atr.1428.
  14. 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. 
  15. 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.
  16. Ji, S., C. Cherry, W. Zhou, R. Sawhney, Y. Wu, S, Cai, S. Wang, J. Marshall (2015) Environmental Justice Aspects of Exposure to PM2.5 Emissions from Electric Vehicle Use in China. Environmental Science and Technology (in press). 10.1021/acs.est.5b04927
  17. Cherry, C., H. Yang, L. Jones, M. He (2015) Dynamics of Electric Bike Ownership and Use in Kunming China. Transport Policy. doi: 10.1016/j.tranpol.2015.09.007.
  18. Ling Z. C. Cherry. H. Yang, L. Jones (2015) From e-bike to car: A study on factors influencing motorization of e-bike users across China. Transportation Research Part D. doi: 10.1016/j.trd.2015.09.012 
  19. ​Fishman, E., C. Cherry (2015) E-bikes in the mainstream: Reviewing a decade of research. Transport Reviews doi: 10.1080/01441647.2015.1069907 
  20. Langford, B.C., Chen, J. C. Cherry (2015) Risky riding: naturalistic methods comparing safety behavior from conventional bicycle riders and electric bike riders. Accident Analysis and Prevention, 82, 220-226.
  21. Ling, Z.. C. Cherry, Y. Ni (2015) Pedestrian Level of Service at Signalized Intersections in China: Comparison of the Intercept Survey Method, Contingent Field Survey Method and Crossing Video Simulation Method. Transportation Research Record: Journal of the Transportation Research Board. 2519 pg 75-81. Doi: 10.3141/2519-09 
  22. Campbell, A., C. Cherry, M. Ryerson, L. Jones (2014) Better pen-and-paper surveys for research in developing countries: A modified stated preference pivoting approach. Transportation Research Record: Journal of the Transportation Research Board. 2405. Pg 42-48. 10.3141/2405-06
  23. Ji, S., C. Cherry, L. Han, D. Jordan (2014)  Electric Bike Sharing: Simulation of User Demand and System Availability. Journal of Cleaner Production. 85. Pg. 250-257. 10.1016/j.jclepro.2013.09.024 
  24. Jones, L., C. Cherry, T. Vu, N. Quang (2013) Estimating the Effect of Incentives on the Adoption of Electric Motorcycle: A Stated Choice Experiment in Vietnam. Transportation Research Part A. 57. Pg. 1-11. 
  25. Langford, B.C., C. Cherry, T. Yoon, S. Worley, D. Smith (2013) North America’s first electric bicycle share: A year of experience. Transportation Research Record: Journal of the Transportation Research Board. 2387. Pg 120-128. 10.3141/2387-14. 
  26. van der Kuijp, T.J., L. Huang, C. Cherry (2013) Health hazards of China’s lead-acid battery industry: a review of its market drivers, production processes, and health impacts. Environmental Health. 12(61) pg 1-10. 
  27. Yang, Q., L. Han, C. Cherry (2013) Some measures for sustaining red-light camera programs and their negative impacts. Transport Policy 29 pg 192-198. 
  28. Cherry, C., B. Donlon, et al. (2012) Illegal midblock pedestrian crossings in China: Gap acceptance, conflict, and crossing path analysis.International Journal of Injury Control and Safety Promotion (In press). 
  29. Cherry, C., L. Bordley, et al. (2012) Commercial Motor Vehicle Wireless Roadside Inspection Pilot Test: Technical System Performance. Transportation Research Record: Journal of the Transportation Research Board 2281 pg 109-118.
  30. Ji, S.G., C. Cherry, et al. (2012) Electric Vehicle Emissions and Public Health Impacts in China.Environmental Science and Technology 46(4) pg 2018-2024.
  31. Langford, B.C., C. Cherry (2012) Transitioning a Bus Transit Fleet to Hydrogen Fuel: A Case Study of Knoxville Area Transit. International Journal of Hydrogen Energy. 37(3). pg 2635-2643. 
  32. Gottesfeld, P., C. Cherry (2011) Lead Emissions from Solar Photovoltaic Energy Systems in China and India.Energy Policy. 39 pg 4939-4946.
  33. Cherry, C. (2010) Electric Two-wheelers in China: Progress, Promise and Potential. Access. 37. pg 17-24.
  34. Cherry, C., H. Min (2010)Alternative Methods of Measuring Operating Speed of Electric and Traditional Bikes in China-Implications for Travel Demand Models.Journal of the Eastern Asia Society for Transportation Studies. 8. pg 1424-1436.
  35. Cherry, C., J. Weinert, X.M. Yang (2009) Comparative Environmental Impacts of Electric Bikes in China.Transportation Research Part D. 14(5) pg 281-290.