Abstract
Extreme heat exacerbates human illness and constrains the intensity and/or duration of outdoor activities. Temperature is an incomplete metric of outdoor heat exposures. By contrast, Wet Bulb Globe Temperature (WBGT) is a heat exposure metric that considers air temperature, moisture, solar radiation, and wind speed. In the USA, bicycle activity increased by 60% from 2000 to 2010. Several studies examined weather conditions and bicycling activities. However, few studies examined how the public should conduct their daily physical activities per weather conditions.
This study investigated the relationship between WBGT and shared city bicycle activity in New York City (NYC) and San Francisco (SF), USA. Generalized Additive Models examined nonlinear relationships between WBGT and bicycle activity while controlling for rider demographics and temporal trends. Next, bootstrapping estimated the “peak point”, when the relationship between the bike rentals and WBGT notably changed.
The analysis also examined whether the heat warning messages affected cycling activities. We found that the number of rented bikes declined at different peak points in each city. The peak point was in NYC at 34.3°C (95% CI 33°C–35°C) and 10.8°C (95% CI 10–12°C) in SF. Somewhat paradoxically, bike rentals increased when heat warnings were issued in both cities.
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References
Adger WN (2010) Social Capital, Collective Action, and Adaptation to Climate Change. In: Voss M (ed.). Der Klimawandel: Sozialwissenschaftliche Perspektiven (pp. 327–345). Wiesbaden: VS Verlag für Sozialwissenschaften. https://doi.org/10.1007/978-3-531-92258-4_19
Armstrong LE, Epstein Y, Greenleaf JE, Haymes EM, Hubbard RW, Roberts WO, Thompson PD (1996) American College of Sports Medicine position stand. Heat and cold illnesses during distance running. Med Sci Sports Exerc 28(12):i–x. Retrieved July 30, 2021 from http://www.ncbi.nlm.nih.gov/pubmed/8970149
Benjamin SG, Weygandt SS, Brown JM, Hu M, Alexander CR, Smirnova TG, … Manikin GS (2015) A North American hourly assimilation and model forecast cycle: the rapid refresh. Mon Weather Rev 144(4):1669–1694. https://doi.org/10.1175/mwr-d-15-0242.1
Bernard P, Chevance G, Kingsbury C, Baillot A, Romain A, Molinier V, Gadais T, Dancause KN (2020) Climate change, physical activity and sport : a systematic review. Society for Transparency, Openness and Replication in Kinesiology (STORK). https://doi.org/10.31236/osf.io/5g7fy
Casanueva A, Burgstall A, Kotlarski S, Messeri A, Morabito M, Flouris AD, … Schwierz C (2019) Overview of existing heat-health warning systems in Europe. Int J Environ Res Public Health 16(15) https://doi.org/10.3390/ijerph16152657
Cheuvront SN, Hosokawa Y (2018) The WBGT Index: A Primer for Road Race Medicine, 22–26. Retrieved July 30, 2021, from https://racemedicine.org/wp-content-uploads-2019-08-wbgtindex-pdf/
Citi Bike NYC (2018) Citi Bike System Data. Retrieved October 20, 2021, from https://ride.citibikenyc.com/system-data
Cooper ER, Ferrara MS, Broglio SP, Broglio SP (2006) Exertional heat illness and environmental conditions during a single football season in the southeast. J Athl Train 41(3):332–336 Retrieved November 30, 2019, from http://www.ncbi.nlm.nih.gov/pubmed/17043703
Cooper ER, Grundstein AJ, Miles JD, Ferrara MS, Curry P, Casa DJ, Hosokawa Y (2020) Heat policy revision for georgia high school football practices based on data-driven research. J Athl Train 55(7):673–681. https://doi.org/10.4085/1062-6050-542-18
Curriero FC (2002) Temperature and mortality in 11 cities of the eastern United States. Am J Epidemiol 155(1):80–87. https://doi.org/10.1093/aje/155.1.80
Deren TM, Coris EE, Casa DJ, DeMartini JK, Bain AR, Walz SM, Jay O (2014) Maximum heat loss potential is lower in football linemen during an NCAA summer training camp because of lower self-generated air flow. J Strength Cond Res 28(6):1656–1663. https://doi.org/10.1519/JSC.0000000000000427
Eliasson I, Svensson MK (2003) Spatial air temperature variations and urban land use — a statistical approach. Meteorol Applic 10(2):135–149. https://doi.org/10.1017/S1350482703002056
Freedman DA (1981) Bootstrapping regression models. Ann Stat 9(6):1218–1228. https://doi.org/10.1214/aos/1176345638
Golbabaei F, Abolfazl Zakerian S, Fouladi Dehaghi B, Ghavamabadi LI, Gharagozlou F, Aliabadi MM, Hematjo R (2014) Heat Stress and Physical Capacity: A Case Study of Semi‐Professional Footballers. Iranian J Publ Health 43. Retrieved from http://ijph.tums.ac.ir
Gómez-Martín MB, Armesto-López XA, Martínez-Ibarra E (2014) The Spanish tourist sector facing extreme climate events: a case study of domestic tourism in the heat wave of 2003. Int J Biometeorol 58(5):781–797. https://doi.org/10.1007/s00484-013-0659-6
Grundstein A, Cooper E (2018) Assessment of the Australian Bureau of Meteorology wet bulb globe temperature model using weather station data. Int J Biometeorol 62(12):2205–2213. https://doi.org/10.1007/s00484-018-1624-1
Grundstein A, Cooper E, Ferrara M, Knox JA (2014) The geography of extreme heat hazards for American football players. Appl Geogr 46:53–60. https://doi.org/10.1016/j.apgeog.2013.10.007
Grundstein A, Knox JA, Vanos J, Cooper ER, Casa DJ (2017) American football and fatal exertional heat stroke: a case study of Korey Stringer. Int J Biometeorol 61(8):1471–1480. https://doi.org/10.1007/s00484-017-1324-2
Grundstein A, Williams C, Phan M, Cooper E (2015) Regional heat safety thresholds for athletics in the contiguous United States. Appl Geogr 56:55–60. https://doi.org/10.1016/j.apgeog.2014.10.014
Guo Y, Yang L, Lu Y, Zhao R (2021) Dockless bike-sharing as a feeder mode of metro commute? The role of the feeder-related built environment: analytical framework and empirical evidence. Sustain Cities Soc 65:102594. https://doi.org/10.1016/J.SCS.2020.102594
Hass AL, Ellis KN, Mason LR, Hathaway JM, Howe DA (2016) Heat and humidity in the city: neighborhood heat index variability in a mid-sized city in the Southeastern United States. Int J Environ Res Public Health 13(1) https://doi.org/10.3390/ijerph13010117
Hatvani-Kovacs G, Bush J, Sharifi E, Boland J (2018) Policy recommendations to increase urban heat stress resilience. Urban Clim 25:51–63. https://doi.org/10.1016/J.UCLIM.2018.05.001
Hayhoe K, Sheridan S, Kalkstein L, Greene S (2009) Climate change, heat waves, and mortality projections for Chicago. JGLR 36:65–73. https://doi.org/10.1016/j.jglr.2009.12.009
Heaney AK, Carrión D, Burkart K, Lesk C, Jack D (2019) Climate change and physical activity: estimated impacts of ambient temperatures on bikeshare usage in new york city. Environ Health Perspect 127(3):037002-1-037002–037010 https://doi.org/10.1289/EHP4039
Heo S, Bell ML, Lee JT (2019) Comparison of health risks by heat wave definition: applicability of wet-bulb globe temperature for heat wave criteria. Environ Res 168(March 2018):158–170 https://doi.org/10.1016/j.envres.2018.09.032
Hernández-Fernández L, De Zayas RG, Olivera YM, Amargós FP, López CB, Sotolongo LBD, … Moret FS (2019) Distribution and status of living colonies of Acropora spp. in the reef crests of a protected marine area of the Caribbean (Jardines de la Reina National Park, Cuba). PeerJ 2019(2):1–21 https://doi.org/10.7717/peerj.6470
Hoehne CG, Hondula DM, Chester MV, Eisenman DP, Middel A, Fraser AM, Watkins L, Gerster K (2018) Heat exposure during outdoor activities in the US varies significantly by city, demography, and activity. Health Place 54(August):1–10. https://doi.org/10.1016/j.healthplace.2018.08.014
Hong A, Kim B, Widener M (2020) Noise and the city: leveraging crowdsourced big data to examine the spatio-temporal relationship between urban development and noise annoyance. Environ Plann B Urban Anal City Sci 47(7):1201–1218. https://doi.org/10.1177/2399808318821112
Iowa Environmental Mesonet (IEM) (2019) NWS Warning Search by Point or County/Zone. Retrieved October 20, 2021, from https://mesonet.agron.iastate.edu/vtec/search.php#eventsbypoint/-75.7233/40.0663
Jones B, Scott D (2006) Climate change, seasonality and visitation to Canada’s national parks. J Park Recreat Adm 24(2):42–62 Retrieved from August 10, 2021, http://web.b.ebscohost.com/ehost/pdfviewer/pdfviewer?vid=0&sid=260b71b2-cdd4-4eec-9dcd-dc12583824f8%40sessionmgr101
Kalkstein AJ, Sheridan SC (2007) The social impacts of the heat-health watch/warning system in Phoenix, Arizona: assessing the perceived risk and response of the public. Int J Biometeorol 52(1):43–55. https://doi.org/10.1007/s00484-006-0073-4
Kalkstein LS (1991) A new approach to evaluate the impact of climate on human mortality. Environ Health Perspect 96(16):145–150. https://doi.org/10.1289/ehp.9196145
Kjellstrom T, Briggs D, Freyberg C, Lemke B, Otto M, Hyatt O (2016) Heat, human performance, and occupational health: a key issue for the assessment of global climate change impacts. Ann Rev Public Health 37(1):97–112. https://doi.org/10.1146/annurev-publhealth-032315-021740
Lawrimore JH, Ray R, Applequist S, Korzeniewski B, Menne MJ (2016) Dataset description document global summary of the month / year dataset, 0–23. NOAA National Centers for Environmental Information. https://doi.org/10.7289/V5QV3JJ5
Lemke B, Kjellstrom T (2012) Calculating workplace WBGT from meteorological data: a tool for climate change assessment. Industrial Health 50(4):267–278. https://doi.org/10.2486/indhealth.MS1352
Liljegren JC, Carhart RA, Lawday P, Tschopp S, Sharp R (2008) Modeling the wet bulb globe temperature using standard meteorological measurements. J Occup Environ Hyg 5(10):645–655. https://doi.org/10.1080/15459620802310770
Lipman GS, Eifling KP, Ellis MA, Gaudio FG, Otten EM, Grissom CK (2013) Wilderness medical society practice guidelines for the prevention and treatment of heat-related illness. Wilderness Environ Med 24(4):351–361. https://doi.org/10.1016/J.WEM.2013.07.004
Bergeron MF, DiLaura Devore C, Rice SG (2011) Climatic heat stress and exercising children and adolescents. Pediatrics 128(3):e741–e747. https://doi.org/10.1542/peds.2011-1664
Mckenzie, B. (2014). Modes Less Traveled-Bicycling and Walking to Work in the United States: 2008-2012 American Community Survey Reports. Retrieved January 10, 2020, from www.census.gov/acs/www
McLafferty S (2019) Place and quantitative methods: critical directions in quantitative approaches to health and place. Health & Place (October):102232 https://doi.org/10.1016/j.healthplace.2019.102232
Morris CE, Gonzales RG, Hodgson MJ, Tustin AW (2019) Actual and simulated weather data to evaluate wet bulb globe temperature and heat index as alerts for occupational heat-related illness. J Occup Environ Hyg 16(1):54–65. https://doi.org/10.1080/15459624.2018.1532574
National Association of City Transportation Officials. (2018). Bike Share in the US Retrieved October 20, 2021, from https://nacto.org/bike-share-statistics-2017/
National Institute for Occupational Safety and Health (NIOSH) (2016) NIOSH criteria for a recommended standard: occupational exposure to heat and hot environments. Retrieved from https://www.cdc.gov/niosh/docs/2016‐106/pdfs/2016‐106.pdf
National Oceanic and Atmospheric Administration. (2021a). Graphical Forecasts. Retrieved October 10, 2021, from https://digital.mdl.nws.noaa.gov/
National Oceanic and Atmospheric Administration. (2021b). Heat Watch vs. Warning. Retrieved October 20, 2021, from https://www.weather.gov/safety/heat-ww
National Weather Service (NWS) (2021) NCEP Data Products HRRR. Retrieved October 20, 2021, from https://www.nco.ncep.noaa.gov/pmb/products/hrrr/
New York City (2019) NYC Parks and Open Data : NYC Parks. Retrieved October 20, 2021, from https://www.nycgovparks.org/about/data
North American Cities and Transit Aencies. (2017) Bike Share in the U.S.: 2017 More Systems, More Cities, More Bikes, More Companies. Retrieved October 10, 2021, from https://nacto.org/bike-share-statistics-2017/
O’Neill MS, Zanobetti A, Schwartz J (2003) Modifiers of the temperature and mortality association in seven US cities. Am J Epidemiol 157(12):1074–1082. https://doi.org/10.1093/aje/kwg096
Obradovich N, Fowler JH (2017) Climate change may alter human physical activity patterns. Nat Hum Behav 1(5):0097. https://doi.org/10.1038/s41562-017-0097
Reid CE, O’Neill MS, Gronlund CJ, Brines SJ, Brown DG, Diez-Roux AV, Schwartz J (2009) Mapping community determinants of heat vulnerability. Environ Health Perspect 117(11):1730–1736. https://doi.org/10.1289/ehp.0900683
Rivera-Brown AM, De Félix-Dávila RA (2012) Hydration status in adolescent judo athletes before and after training in the heat. International Journal of Sports Physiology and Performance (Vol. 7). Retrieved August 10, 2020, from https://www.researchgate.net/profile/Anita_Rivera-Brown/publication/51664507_Hydration_Status_in_Adolescent_Judo_Athletes_before_and_after_Training_in_the_Heat/links/02e7e5304f061ed79f000000/Hydration-Status-in-Adolescent-Judo-Athletes-before-and-after-Tr
Roberts WO (2010) Determining a “do not start” temperature for a marathon on the basis of adverse outcomes. Med Sci Sports Exerc 42(2):226–232. https://doi.org/10.1249/MSS.0b013e3181b1cdcf
Roberts WO, Armstrong LE, Sawka MN, Yeargin SW, Heled Y, O’Connor FG (2021) ACSM expert consensus statement on exertional heat illness: recognition, management, and return to activity. Curr Sports Med Rep 20(9):470–484. https://doi.org/10.1249/JSR.0000000000000878
Scarneo-Miller SE, Saltzman B, Adams WM, Casa DJ (2020) Regional requirements influence adoption of exertional heat illness preparedness strategies in United States high schools. Medicina 56(10):488. https://doi.org/10.3390/medicina56100488
Scott D, Lemieux C (2010) Weather and climate information for tourism. Procedia Environ Sci 1(1):146–183. https://doi.org/10.1016/j.proenv.2010.09.011
Scott Daniel, Jones B (2007) A regional comparison of the implications of climate change for the golf industry in Canada. Can Geogr 51(2):219–232. https://doi.org/10.1111/j.1541-0064.2007.00175.x
Tan J, Kalkstein LS, Huang J, Lin S, Yin H, Shao D (2004) An operational heat/health warning system in Shanghai. Int J Biometeorol 48(3):157–162. https://doi.org/10.1007/s00484-003-0193-z
The Trust for Public Land (2020). Park Serve Data. Retrieved October 20, 2021, from https://www.tpl.org/parkserve/downloads
Tibshirani RJ, Efron B (1993) An introduction to the bootstrap. Monographs onstatistics and applied probability 57:1–436
Tin Tin S, Woodward A, Robinson E, Ameratunga S (2012) Temporal, seasonal and weather effects on cycle volume: an ecological study. Environ Health 11(1):12. https://doi.org/10.1186/1476-069X-11-12
Toloo G, FitzGerald G, Aitken P, Verrall K, Tong S (2013) Are heat warning systems effective? Environ Health 12(1):27. https://doi.org/10.1186/1476-069X-12-27
Tustin, A. W., Lamson, G. E., Jacklitsch, B. L., Thomas, R. J., Arbury, S. B., Cannon, D. L., … Hodgson, M. J. (2018). Evaluation of occupational exposure limits for heat stress in outdoor workers - United States, 2011-2016. MMWR Morb Mortal Wkly Rep 67(26):733–737 https://doi.org/10.15585/mmwr.mm6726a1
Vega-Arroyo AJ, Mitchell DC, Castro JR, Armitage TL, Tancredi DJ, Bennett DH, Schenker MB (2019) Impacts of weather, work rate, hydration, and clothing in heat-related illness in California farmworkers. Am J Ind Med ajim.22973 https://doi.org/10.1002/ajim.22973
Winters M, Teschke K, Brauer M, Fuller D (2016) Bike Score®: Associations between urban bikeability and cycling behavior in 24 cities. Int J Behav Nutr Phys Act 13(1):1–10. https://doi.org/10.1186/s12966-016-0339-0
Wood SN (2013) On p-values for smooth components of an extended generalized additive model. Biometrika 100(1):221–228. https://doi.org/10.1093/biomet/ass048
World Health Organisation (2011) Pacific physical activity guidelines for adults. Framework for Accelerating the Communication of Physical Activity Guidelines 1:1–34
Zenk SN, Schulz AJ, Matthews SA, Odoms-Young A, Wilbur J, Wegrzyn L, … Stokes C (2011) Activity space environment and dietary and physical activity behaviors: a pilot study. Health Place 17(5):1150–1161https://doi.org/10.1016/J.HEALTHPLACE.2011.05.001
Zhang Y, Brussel MJG, Thomas T, van Maarseveen MFAM (2018) Mining bike-sharing travel behavior data: an investigation into trip chains and transition activities. Comput Environ Urban Syst 69(January):39–50. https://doi.org/10.1016/j.compenvurbsys.2017.12.004
Zhu R, Zhang X, Kondor D, Santi P, Ratti C (2020) Understanding spatio-temporal heterogeneity of bike-sharing and scooter-sharing mobility. Comput Environ Urban Syst 81(October 2019):101483 https://doi.org/10.1016/j.compenvurbsys.2020.101483
Zhu W, Lű A, Jia S, Yan J, Mahmood R (2016) Retrievals of all-weather daytime air temperature from MODIS products. Remote Sensing of Environment 189:152–163. https://doi.org/10.1016/j.rse.2016.11.011
Zuur AF, Ieno EN, Walker NJ, Saveliev AA, Smith GM (2010) Mixed effects models and extensions in ecology with R. Springer Science & Business Media. https://doi.org/10.1007/978-0-387-93835-6
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Ahn, Y., Okamoto, D. & Uejio, C. Investigating city bike rental usage and wet-bulb globe temperature. Int J Biometeorol 66, 679–690 (2022). https://doi.org/10.1007/s00484-021-02227-5
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DOI: https://doi.org/10.1007/s00484-021-02227-5