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Quantifying the Impact of Alternative Bus Stop Platforms on Vehicle Emissions and Individual Pollution Exposure at Bus Stops

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  • Qian Yu

    (College of Transportation Engineering, Chang’an University, Xi’an 710064, China
    Key Laboratory of Transport Industry of Management, Control and Cycle Repair Technology for Traffic Network Facilities in Ecological Security Barrier Area, Xi’an 710064, China)

  • Lili Lu

    (Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, China)

  • Tiezhu Li

    (Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing 211189, China
    School of Transportation, Southeast University, Nanjing 211189, China)

  • Ran Tu

    (Jiangsu Province Collaborative Innovation Center for Modern Urban Traffic Technologies, Nanjing 211189, China
    School of Transportation, Southeast University, Nanjing 211189, China)

Abstract

Due to stop-and-go events, bus stops are often treated as “hot spots” for air pollution. The design of bus stops should be optimized to reduce emissions and exposure for transit commuters. The objective of this study was to analyze the impact of bus stop platform types on vehicle emissions and individual pollution exposure. Second-by-second emissions data were first collected from one bus using a portable emission measurement system (PEMS). Microscopic traffic simulation was then used to estimate overall traffic emissions under six scenarios with different bus stop settings. Numerical simulation of pollutant dispersion was also conducted to calculate individual pollution exposure at bus stops. The results of PEMS tests showed no significant differences between bus emissions generated near two different types of stops. However, the effect of platform types on overall traffic emissions was revealed using traffic simulation. The results demonstrated that bus bays reduced the emissions of other heavy-duty vehicles. However, bus bays were not always effective during rush hours. The study also highlighted the importance of the location of bus stops, the number of bus lines, and the length of the platform, in addition to dynamic characteristics of traffic flows in the design of bus stop platforms. Bus stop platforms also affected individuals’ exposure due to the changes in the pollutant flow field. The passenger’s exposure at one bus stop was influenced by both the platform type and standing location. Results suggested that in a condition with a wind direction perpendicular to the bus stop shelter, the total exposure level to CO was lower at the bus bay stop if a passenger stood at the upstream of the station platform. However, the exposure was less at the downstream of the curbside bus stop.

Suggested Citation

  • Qian Yu & Lili Lu & Tiezhu Li & Ran Tu, 2022. "Quantifying the Impact of Alternative Bus Stop Platforms on Vehicle Emissions and Individual Pollution Exposure at Bus Stops," IJERPH, MDPI, vol. 19(11), pages 1-16, May.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:11:p:6552-:d:825906
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    References listed on IDEAS

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    1. Tirachini, Alejandro, 2014. "The economics and engineering of bus stops: Spacing, design and congestion," Transportation Research Part A: Policy and Practice, Elsevier, vol. 59(C), pages 37-57.
    2. Xumei Chen & Xiaomi Han & Lei Yu & Changhai Wei, 2017. "Does Operation Scheduling Make a Difference: Tapping the Potential of Optimized Design for Skipping-Stop Strategy in Reducing Bus Emissions," Sustainability, MDPI, vol. 9(10), pages 1-18, September.
    3. Ibarra-Rojas, O.J. & Delgado, F. & Giesen, R. & Muñoz, J.C., 2015. "Planning, operation, and control of bus transport systems: A literature review," Transportation Research Part B: Methodological, Elsevier, vol. 77(C), pages 38-75.
    4. Pan, Yingjiu & Chen, Shuyan & Li, Tiezhu & Niu, Shifeng & Tang, Kun, 2019. "Exploring spatial variation of the bus stop influence zone with multi-source data: A case study in Zhenjiang, China," Journal of Transport Geography, Elsevier, vol. 76(C), pages 166-177.
    5. Rosero, Fredy & Fonseca, Natalia & López, José-María & Casanova, Jesús, 2021. "Effects of passenger load, road grade, and congestion level on real-world fuel consumption and emissions from compressed natural gas and diesel urban buses," Applied Energy, Elsevier, vol. 282(PB).
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    Cited by:

    1. Maksymilian Mądziel, 2023. "Vehicle Emission Models and Traffic Simulators: A Review," Energies, MDPI, vol. 16(9), pages 1-31, May.

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