IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v8y2016i7p636-d73370.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/8/7/636/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/8/7/636/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    2. 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.
    3. Cervero, Robert, 1996. "Mixed land-uses and commuting: Evidence from the American Housing Survey," Transportation Research Part A: Policy and Practice, Elsevier, vol. 30(5), pages 361-377, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Miroslav Stefanov, 2018. "Features of Compressed Natural Gas Physical Distribution: A Bulgarian Case Study," Logistics, MDPI, vol. 2(3), pages 1-21, September.
    3. 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.
    4. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Jingjing & Kim, Changjoo & Sang, Sunhee, 2018. "Exploring impacts of land use characteristics in residential neighborhood and activity space on non-work travel behaviors," Journal of Transport Geography, Elsevier, vol. 70(C), pages 141-147.
    2. Kyung Hwan Lee & Eun Jeong Ko, 2014. "Relationships between neighbourhood environments and residents' bicycle mode choice: a case study of Seoul," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 18(3), pages 383-395, November.
    3. Souche, Stéphanie, 2009. "Un exemple d’estimation de la demande de transport urbain," Revue d'économie régionale et urbaine, Editions NecPlus, vol. 2009(04), pages 759-779, December.
    4. Enayat Mirzaei & Dominique Mignot, 2021. "An Empirical Analysis of Mode Choice Decision for Utilitarian and Hedonic Trips: Evidence from Iran," Sustainability, MDPI, vol. 13(12), pages 1-23, June.
    5. Pierre Filion, 2001. "Suburban Mixed-Use Centres and Urban Dispersion: What Difference do they Make?," Environment and Planning A, , vol. 33(1), pages 141-160, January.
    6. Ingvardson, Jesper Bláfoss & Nielsen, Otto Anker, 2018. "How urban density, network topology and socio-economy influence public transport ridership: Empirical evidence from 48 European metropolitan areas," Journal of Transport Geography, Elsevier, vol. 72(C), pages 50-63.
    7. Andrea CIRILLI & Paolo VENERI, 2010. "Spatial Structure and CO2 Emissions Due to Commuting: an Analysis on Italian Urban Areas," Working Papers 353, Universita' Politecnica delle Marche (I), Dipartimento di Scienze Economiche e Sociali.
    8. Mindali, Orit & Raveh, Adi & Salomon, Ilan, 2004. "Urban density and energy consumption: a new look at old statistics," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(2), pages 143-162, February.
    9. Sun, Shanxia & Delgado, Michael & Khanna, Neha, 2017. "Hybrid Vehicles and Household Driving Behavior: Implications for Miles Traveled and Gasoline Consumption," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258502, Agricultural and Applied Economics Association.
    10. Dong, Hongwei, 2017. "Rail-transit-induced gentrification and the affordability paradox of TOD," Journal of Transport Geography, Elsevier, vol. 63(C), pages 1-10.
    11. Thomas Klinger & Martin Lanzendorf, 2016. "Moving between mobility cultures: what affects the travel behavior of new residents?," Transportation, Springer, vol. 43(2), pages 243-271, March.
    12. Dohyung Kim & Yongjin Ahn & Simon Choi & Kwangkoo Kim, 2016. "Sustainable Mobility: Longitudinal Analysis of Built Environment on Transit Ridership," Sustainability, MDPI, vol. 8(10), pages 1-14, October.
    13. Muhammad Ibrahim, 2003. "Car ownership and attitudes towards transport modes for shopping purposes in Singapore," Transportation, Springer, vol. 30(4), pages 435-457, November.
    14. Chao Wang & Yongheng Gu & Fei Ma & Yongping Li, 2022. "Extreme Weather Influence on Carbon Emissions in Chinese Urban Traffic Environments," SAGE Open, , vol. 12(3), pages 21582440221, August.
    15. Collins, Patricia A. & MacFarlane, Robert, 2018. "Evaluating the determinants of switching to public transit in an automobile-oriented mid-sized Canadian city: A longitudinal analysis," Transportation Research Part A: Policy and Practice, Elsevier, vol. 118(C), pages 682-695.
    16. Maat, Kees & Timmermans, Harry J.P., 2009. "Influence of the residential and work environment on car use in dual-earner households," Transportation Research Part A: Policy and Practice, Elsevier, vol. 43(7), pages 654-664, August.
    17. Jianxi Feng & Martin Dijst & Jan Prillwitz & Bart Wissink, 2013. "Travel Time and Distance in International Perspective: A Comparison between Nanjing (China) and the Randstad (The Netherlands)," Urban Studies, Urban Studies Journal Limited, vol. 50(14), pages 2993-3010, November.
    18. Paolo Veneri, 2010. "Urban Polycentricity and the Costs of Commuting: Evidence from Italian Metropolitan Areas," Growth and Change, Wiley Blackwell, vol. 41(3), pages 403-429, September.
    19. Long Zhou & Guoqiang Shen & Yao Wu & Robert Brown & Tian Chen & Chenyu Wang, 2018. "Urban Form, Growth, and Accessibility in Space and Time: Anatomy of Land Use at the Parcel-Level in a Small to Medium-Sized American City," Sustainability, MDPI, vol. 10(12), pages 1-24, December.
    20. Jen-Jia Lin & An-Tsei Yang, 2009. "Structural Analysis of How Urban Form Impacts Travel Demand: Evidence from Taipei," Urban Studies, Urban Studies Journal Limited, vol. 46(9), pages 1951-1967, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:8:y:2016:i:7:p:636-:d:73370. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.