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Behavior of Electric Scooter Operators in Naturalistic Environments
ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 02, 2019 by SAE International in United States
This content contains downloadable datasetsAnnotation ability available
The use of electric scooters (e-scooters), which are more generally categorized as motorized scooters, has undergone explosive growth owing to “scooter share” programs in which an e-scooter is rented for a limited period of time. The near-spontaneous ubiquity of e-scooters has prompted government and scooter share companies to address issues partly motivated by concerns related to the inclusion of a large population of e-scooters into vehicular traffic. These issues are influenced by the decisions and behaviors of the scooter operators, who, despite being licensed to drive passenger vehicles, potentially have limited experience operating an e-scooter in the presence of traffic. E-scooters are in a relative unique position where they are small enough to negotiate pedestrian traffic, yet fast enough to travel on roadways. This enables an e-scooter operator to change when and where he rides, e.g., from traveling on a sidewalk to riding in a clear traffic lane in order to avoid a group of pedestrians standing at an intersection. Such changes may catch nearby motorists off-guard, thereby increasing the risk of a collision with the e-scooter. The present observational study assessed e-scooter rider behavior in west Los Angeles, a region with a robust presence of rental e-scooters. The large population, preponderance of e-scooters, and high traffic volumes provide an exemplary area to observe not just how drivers and e-scooter riders adapt to one-another’s presence, but also the increased risk of an interaction between e-scooters with other vehicles and pedestrians. Operator behavior of rented e-scooters is quantified and reviewed according to current regulations, public concerns regarding e-scooters, and behaviors present that may affect an individual’s ability to safely operate an e-scooter in the presence of traffic, including both vehicular and pedestrian.
CitationTodd, J., Krauss, D., Zimmermann, J., and Dunning, A., "Behavior of Electric Scooter Operators in Naturalistic Environments," SAE Technical Paper 2019-01-1007, 2019, https://doi.org/10.4271/2019-01-1007.
Data Sets - Support Documents
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- Bird (BirdRide), “We are Proud That Bird Has Been Such a Popular Way for San Franciscans to Get Around the City, Cutting Car Trips, Reducing Traffic and Curbing Emissions,” April 25, 2018, 2:52 PM, Tweet.
- Portland Bureau of Transportation (PBOTinfo), “Electric Scooters Have Been Operating in Portland for Two Weeks. Here’s How It’s Gone So Far,” August 9, 2018, 11:31 AM, Tweet.
- Schwieterman, J.P., and Livingston, M., “Uber Economics: Evaluating the Monetary and Nonmonetary Tradeoffs of TNC and Transit Service in Chicago, Illinois,” Chaddick Institute, DePaul University, May 2018.
- SherpaShare Blog, “Uber Trips are Becoming Longer and Faster, but are They More Profitable?,” Feb. 2, 2016, Web blog post, http://www.sherpashareblog.com/tag/uber-trip-distance, accessed Oct. 2018.
- Mass.gov, “2017 Data Report: Rideshare in Massachusetts,” https://tnc.sites.digital.mass.gov/, accessed Oct. 2018.
- Bullard, N., “Scooters and Bikes Compete for City Streets,” Bloomberg, May 2, 2018, https://www.bloomberg.com/view/articles/2018-05-04/electric-scooters-bikes-compete-for-city-streets.
- Forester, J., “Flow of Cycle Traffic,” . In: Bicycle Transportation: A Handbook for Cycling Transportation Engineers. Second Edition. (Cambridge, MA, MIT Press, 1994), 109-112. ISBN:9780262560795.
- Langford, B.C., Chen, J., and Cherry, C., “Risky Riding: Naturalistic Methods for Comparing Safety Behavior from Conventional Bicycle Riders and Electric Bike Riders,” Accid. Anal. Prev. 82:220-226, 2015, doi:10.1016/j.aap.2015.05.016.
- Krauss, D.A., Todd, J.J., and Heckman, G.M., “The ‘Critical Window,’ Looming and Implications for Accident Avoidance,” ITE Journal 82(7):36-41, 2012.
- Hole, J.G., Tyrrell, L., and Langham, M., “Some Factors Affecting Motorcyclists’ Conspicuity,” Ergonomics 39(7):946-965, 1996, doi:10.1080/00140139608964516.
- Pammer, K., Sabadas, S., and Lentern, S., “Allocating Attention to Detect Motorcycles: The Role of Inattentional Blindness,” Hum. Fact. 60(1):5-19, 2018, doi:10.1177/0018720817733901.
- Spivey, H. and Srinivas, P.S., “Visibility of Two-Wheelers Approaching Left-Turning Vehicles Compared with Other Hazards Under Nighttime Conditions at Urban Signalized Intersections,” Trans. Res. Rec. 2587:133-140, 2016, doi:10.3141/2587-16.
- Most, S.B. and Astur, R.S., “Feature-Based Attentional Set as a Cause of Traffic Accidents,” Vis. Cogn. 15(2):125-132, 2007, doi:10.1080/13506280600959316.
- Hurt, H.H., Ouellet, J.V., and Thom, D.R., “Motorcycle Accident Cause Factors and Identification of Countermeasures, Volume 1: Technical Report,” Washington, DC, USDOT, NHTSA, 1981.
- Karkhaneh, M., Kalenga, J.-C., Hagel, B.E., and Rowe, B.H., “Effectiveness of Bicycle Helmet Legislation to Increase Helmet Use: A Systematic Review,” Inj. Prev. 12:76-82, 2006, doi:10.1136/ip.2005.010942.
- LeBlanc, J.C., Beattie, T.L., and Culligan, C., “Effect of Legislation on the Use of Bicycle Helmets,” CMAJ 166(5):592-595, 2002.
- Finnoff, J.T., Laskowski, E.R., Altman, K.L., and Diehl, N.N., “Barriers to Bicycle Helmet Use,” Pediatrics 108(1):1-7, 2001.
- Lajunen, T., “Barriers and Facilitators of Bicycle Helmet Use Among Children and Their Parents,” Trans. Res. Part F 4:294-301, 2016, doi:10.1016/j.trf.2015.03.005.
- Dingus, T., Hathaway, J.A., and Hunn, B.P., “A Most Critical Warning Variable: Two Demonstrations of the Powerful Effects of Cost on Warning Compliance,” in Proc. of the Hum. Fact. Soc. 35th Ann. Mtg, 1034-1038, 1991, doi:10.1177/154193129103501503.
- Olson, P. L., Battle, D.S., and Aoki, T., “Driver Eye Fixations Under Different Operating Conditions,” in Industry Affiliation Program for Human Factors in Transportation Safety, 1989.
- Land, M.F. and Tatler, B.W., Looking and Acting: Vision and Eye Movements in Natural Behavior (New York: Oxford University Press, Inc., 2009), 117-141 978-0-19-857091-3.
- Shahar, A., Van Loon, E., Clarke, D., and Crundall, D., “Attending Overtaking Cars and Motorcycles Through the Mirrors Before Changing Lanes,” Accid. Anal. Prev. 44(1):104-110, 2012, doi:10.1016/j.aap.2011.01.001.
- Charleton, S.G. and Starkey, N.J., “Driving on Familiar Roads: Automaticity and Inattentional Blindness,” Trans. Res. Part F 19:121-133, 2013, doi:10.1016/j.trf.2013.03.008.
- Mourant, R.R. and Rockwell, R.H., “Mapping Eye-Movement Patterns to the Visual Scene in Driving: An Exploratory Study,” Hum. Fact. 12(1):81-87, 1970, doi:10.1177/001872087001200112.
- Yanko, M.R. and Thomas, M.S., “Route Familiarity Breeds Inattention: A Driving Simulator Study,” Accid. Anal. Prev. 57:80-86, 2013, doi:10.1016/j.aap.2013.04.003.
- Zeuwts, L., Vansteenkiste, P., Deconinck, F., van Maarseveen, M., Savelsbergh, G., Cardon, G., and Lenoir, M., “Is Gaze Behaviour in a Laboratory Context Similar to That in Real-Life? A Study in Bicyclists,” Trans. Res. Part F 43, 131-140, 2016, doi:10.1016/j.trf.2016.10.010.
- Tavassoli, A., Perlmutter, S., Bui, D., Todd, J. et al., “Development of a Robust Database for Measuring Human Gaze Behavior and Performance During Naturalistic Driving,” SAE Technical Paper 2017-01-1369, 2017, doi:10.4271/2017-01-1369.