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Heat-Moderating Effects of Bus Stop Shelters and Tree Shade on Public Transport Ridership

Author

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  • Kevin Lanza

    (Michael and Susan Dell Center for Healthy Living, School of Public Health in Austin, The University of Texas Health Science Center at Houston, Austin, TX 78701, USA)

  • Casey P. Durand

    (Michael and Susan Dell Center for Healthy Living, Department of Health Promotion & Behavioral Sciences, School of Public Health in Houston, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA)

Abstract

Rising temperatures threaten the resilience of public transit systems. We determined whether bus stop shelters and tree canopy surrounding bus stops moderated the effect of warm season temperatures on ridership in Austin, Texas, and whether shelters and trees were equitably distributed. For bus stops (n = 2271) of Capital Metropolitan Transportation Authority, boardings per bus were measured 1 April–30 September 2019. Air temperature data originated from the Camp Mabry weather station. Tree canopy was calculated by classification of high-resolution aerial imagery from the National Agriculture Imagery Program. Data on race, ethnicity, poverty level, median age, and bus commuters within census tracts of bus stops originated from the 2014–2018 American Community Survey. Using multilevel negative binomial regression models, we found that shelters did not moderate the effect of high temperatures on ridership ( p > 0.05). During high temperatures, each one-percent increase in tree canopy was associated with a lesser decrease (1.6%) in ridership compared to if there were no trees (1.7%) ( p < 0.001). In general, shelters and trees were equitably distributed. Insignificant or modest effects of shelters and trees on ridership during high temperatures may be attributed to the transit dependency of riders. For climate change adaptation, we recommend tree planting at bus stops to protect from ridership losses and unhealthy exposure to extreme heat.

Suggested Citation

  • Kevin Lanza & Casey P. Durand, 2021. "Heat-Moderating Effects of Bus Stop Shelters and Tree Shade on Public Transport Ridership," IJERPH, MDPI, vol. 18(2), pages 1-15, January.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:2:p:463-:d:477179
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    References listed on IDEAS

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    1. Chakour, Vincent & Eluru, Naveen, 2016. "Examining the influence of stop level infrastructure and built environment on bus ridership in Montreal," Journal of Transport Geography, Elsevier, vol. 51(C), pages 205-217.
    2. Jackson Voelkel & Dana Hellman & Ryu Sakuma & Vivek Shandas, 2018. "Assessing Vulnerability to Urban Heat: A Study of Disproportionate Heat Exposure and Access to Refuge by Socio-Demographic Status in Portland, Oregon," IJERPH, MDPI, vol. 15(4), pages 1-14, March.
    3. Wu, Jingwen & Liao, Hua, 2020. "Weather, travel mode choice, and impacts on subway ridership in Beijing," Transportation Research Part A: Policy and Practice, Elsevier, vol. 135(C), pages 264-279.
    4. Kashfi, Syeed Anta & Bunker, Jonathan M. & Yigitcanlar, Tan, 2016. "Modelling and analysing effects of complex seasonality and weather on an area's daily transit ridership rate," Journal of Transport Geography, Elsevier, vol. 54(C), pages 310-324.
    5. Miao, Qing & Welch, Eric W. & Sriraj, P.S., 2019. "Extreme weather, public transport ridership and moderating effect of bus stop shelters," Journal of Transport Geography, Elsevier, vol. 74(C), pages 125-133.
    6. Wei, Ming & Liu, Yan & Sigler, Thomas & Liu, Xiaoyang & Corcoran, Jonathan, 2019. "The influence of weather conditions on adult transit ridership in the sub-tropics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 106-118.
    7. Li, Junlong & Li, Xuhong & Chen, Dawei & Godding, Lucy, 2018. "Assessment of metro ridership fluctuation caused by weather conditions in Asian context: Using archived weather and ridership data in Nanjing," Journal of Transport Geography, Elsevier, vol. 66(C), pages 356-368.
    8. Singhal, Abhishek & Kamga, Camille & Yazici, Anil, 2014. "Impact of weather on urban transit ridership," Transportation Research Part A: Policy and Practice, Elsevier, vol. 69(C), pages 379-391.
    9. Arana, P. & Cabezudo, S. & Peñalba, M., 2014. "Influence of weather conditions on transit ridership: A statistical study using data from Smartcards," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 1-12.
    10. Tobias Scholz & Angela Hof & Thomas Schmitt, 2018. "Cooling Effects and Regulating Ecosystem Services Provided by Urban Trees—Novel Analysis Approaches Using Urban Tree Cadastre Data," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
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    Cited by:

    1. Sangwon Lee & Jennifer M. First, 2023. "Investigation of the Microenvironment, Land Cover Characteristics, and Social Vulnerability of Heat-Vulnerable Bus Stops in Knoxville, Tennessee," Sustainability, MDPI, vol. 15(14), pages 1-12, July.
    2. Marques, Samuel de França & Pitombo, Cira Souza, 2023. "Local modeling as a solution to the lack of stop-level ridership data," Journal of Transport Geography, Elsevier, vol. 112(C).
    3. Litao Feng & Zhuo Li & Zhihui Zhao, 2021. "Extreme Climate Shocks and Green Agricultural Development: Evidence from the 2008 Snow Disaster in China," IJERPH, MDPI, vol. 18(22), pages 1-22, November.
    4. Bruce C. Mitchell & Jayajit Chakraborty & Pratyusha Basu, 2021. "Social Inequities in Urban Heat and Greenspace: Analyzing Climate Justice in Delhi, India," IJERPH, MDPI, vol. 18(9), pages 1-16, April.

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