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The Effects of Bus Ridership on Airborne Particulate Matter (PM10) Concentrations

Author

Listed:
  • Jaeseok Her

    (Department of Urban Design and Planning, Hongik University, 94 Wausan-ro, Mapo-gu, Seoul 121-791, Korea)

  • Sungjin Park

    (Department of Urban Design and Planning, Hongik University, 94 Wausan-ro, Mapo-gu, Seoul 121-791, Korea)

  • Jae Seung Lee

    (Department of Urban Design and Planning, Hongik University, 94 Wausan-ro, Mapo-gu, Seoul 121-791, Korea)

Abstract

Air pollution caused by rapid urbanization and the increased use of private vehicles seriously affects citizens’ health. In order to alleviate air pollution, many cities have replaced diesel buses with compressed natural gas (CNG) buses that emit less exhaust gas. Urban planning strategies such as transit-oriented development (TOD) posit that reducing private vehicle use and increasing public transportation use would reduce air pollution levels. The present study examined the effects of bus ridership on airborne particulate matter (PM10) concentrations in the capital region of Korea. We interpolated the levels of PM10 from 128 air pollution monitoring stations, utilizing the Kriging method. Spatial regression models were used to estimate the impact of bus ridership on PM10 levels, controlling for physical environment attributes and socio-economic factors. The analysis identified that PM10 concentration levels tend to be lower in areas with greater bus ridership. This result implies that urban and transportation policies designed to promote public transportation may be effective strategies for reducing air pollution.

Suggested Citation

  • Jaeseok Her & Sungjin Park & Jae Seung Lee, 2016. "The Effects of Bus Ridership on Airborne Particulate Matter (PM10) Concentrations," Sustainability, MDPI, vol. 8(7), pages 1-14, July.
    • Handle: RePEc:gam:jsusta:v:8:y:2016:i:7:p:636-:d:73370
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    References listed on IDEAS

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    1. Cervero, Robert, 2006. "Transit Oriented Development’s Ridership Bonus: A Product of Self-Selection and Public Policies," University of California Transportation Center, Working Papers qt8jn8g0hc, University of California Transportation Center.
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    3. Gregory Thompson & Jeffrey Brown & Torsha Bhattacharya, 2012. "What Really Matters for Increasing Transit Ridership: Understanding the Determinants of Transit Ridership Demand in Broward County, Florida," Urban Studies, Urban Studies Journal Limited, vol. 49(15), pages 3327-3345, November.
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    Cited by:

    1. Hyungkyoo Kim, 2020. "Land Use Impacts on Particulate Matter Levels in Seoul, South Korea: Comparing High and Low Seasons," Land, MDPI, vol. 9(5), pages 1-16, May.
    2. Zhensheng Wang & Ke Nie, 2017. "Measuring Spatial Distribution Characteristics of Heavy Metal Contaminations in a Network-Constrained Environment: A Case Study in River Network of Daye, China," Sustainability, MDPI, vol. 9(6), pages 1-11, June.
    3. Chuan Ding & Donggen Wang & Xiaolei Ma & Haiying Li, 2016. "Predicting Short-Term Subway Ridership and Prioritizing Its Influential Factors Using Gradient Boosting Decision Trees," Sustainability, MDPI, vol. 8(11), pages 1-16, October.
    4. Miroslav Stefanov, 2018. "Features of Compressed Natural Gas Physical Distribution: A Bulgarian Case Study," Logistics, MDPI, vol. 2(3), pages 1-21, September.

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