IDEAS home Printed from https://ideas.repec.org/a/adx/journl/v3y2021i2p67-79.html
   My bibliography  Save this article

Does Road Traffic Congestion Increase Fuel Consumption of Households in Kathmandu City?

Author

Listed:
  • Raghu Bir Bista
  • Surendra Paneru

Abstract

The growth of vehicle and road traffic congestion is characteristics of urbanization and urban city and indicators of urban life in developing countries. In Nepal, non-economic factors and non-state factors have accelerated unexpectedly and haphazardly urbanization process, although the country was reengineered into seven provincial federal structure. In this backdrop, this paper empirically examines the growth of traffic congestion and its impact on urban households and livelihood based on 160 vehicle owners and users’ survey at six major traffic routes of two urban cities by applying mixed analytical methods (qualitative cum quantitative), descriptive statistics and multiple regression model. The descriptive statistics result of the study reveals nearly 94 percent acceptance level of vehicle owners and users about the growth of traffic congestion. Despite short distances of the road i.e. 2-4 kilometers and vehicle efficiency, the growth of traffic congestion increases 14036-liters fuel additional consumption. Per month, additional cost of fuel is estimated at 18,808 US dollars for a sum of distance i.e. 72,992 km between residence location and workplace each month. In the case of commuters, the estimation result of the study is 1188 hours of additional time loss with 6706 US dollars’ worth per month. The estimation of total economic loss is 25514 US dollars per month. Specifically, per month, economic loss of doctors and taxi drivers is 6556 US dollars but teachers and bankers have not economic loss.

Suggested Citation

  • Raghu Bir Bista & Surendra Paneru, 2021. "Does Road Traffic Congestion Increase Fuel Consumption of Households in Kathmandu City?," Journal of Economic Impact, Science Impact Publishers, vol. 3(2), pages 67-79.
  • Handle: RePEc:adx:journl:v:3:y:2021:i:2:p:67-79
    DOI: 10.52223/jei3022102
    as

    Download full text from publisher

    File URL: https://doi.org/10.52223/jei3022102
    Download Restriction: no

    File URL: https://libkey.io/10.52223/jei3022102?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Michiel Baas & Delphine Pagès-El Karoui & Brenda S.A. Yeoh, 2020. "Migrants in global cities in Asia and the Gulf," City, Taylor & Francis Journals, vol. 24(5-6), pages 793-804, November.
    2. Chong, Shi Kai & Bahrami, Mohsen & Chen, Hao & balcisoy, Selim & Bozkaya, Burcin & Pentland, Alex 'Sandy', 2020. "Economic outcomes predicted by diversity in cities," OSF Preprints j59u3, Center for Open Science.
    3. Kim, Jinwon, 2019. "Estimating the social cost of congestion using the bottleneck model," Economics of Transportation, Elsevier, vol. 19(C), pages 1-1.
    4. Graham, Daniel J., 2007. "Variable returns to agglomeration and the effect of road traffic congestion," Journal of Urban Economics, Elsevier, vol. 62(1), pages 103-120, July.
    5. Eliska Drapalova & Kai Wegrich, 2020. "Who governs 4.0? Varieties of smart cities," Public Management Review, Taylor & Francis Journals, vol. 22(5), pages 668-686, May.
    6. Mariaflavia Harari, 2020. "Cities in Bad Shape: Urban Geometry in India," American Economic Review, American Economic Association, vol. 110(8), pages 2377-2421, August.
    Full references (including those not matched with items on IDEAS)

    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. Xu Yang & Xuan Zou & Xueqi Liu & Qixuan Li & Siqian Zou & Ming Li, 2023. "The Spatiotemporal Pattern and Driving Mechanism of Urban Sprawl in China’s Counties," Land, MDPI, vol. 12(3), pages 1-16, March.
    2. Saiz, Albert & Salazar-Miranda, Arianna, 2023. "Understanding Urban Economies, Land Use, and Social Dynamics in the City: Big Data and Measurement," IZA Discussion Papers 16501, Institute of Labor Economics (IZA).
    3. Eloy Solis & Kayvan Karimi & Irene Garcia & Inmaculada Mohino, 2022. "Knowledge Economy Clustering at the Intrametropolitan Level: Evidence from Madrid," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(2), pages 1268-1299, June.
    4. Jinwon Kim & Jucheol Moon & Dongyun Yang, 2024. "Pigouvian Congestion Tolls and the Welfare Gain: Estimates for California Freeways," Working Papers 2402, Nam Duck-Woo Economic Research Institute, Sogang University (Former Research Institute for Market Economy).
    5. Patricia C Melo & Daniel J Graham & David Levinson & Sarah Aarabi, 2017. "Agglomeration, accessibility and productivity: Evidence for large metropolitan areas in the US," Urban Studies, Urban Studies Journal Limited, vol. 54(1), pages 179-195, January.
    6. Guedes, Ricardo & Iachan, Felipe S. & Sant’Anna, Marcelo, 2023. "Housing supply in the presence of informality," Regional Science and Urban Economics, Elsevier, vol. 99(C).
    7. Li, Jiewei & Lu, Ming & Lu, Tianyi, 2022. "Constructing compact cities: How urban regeneration can enhance growth and relieve congestion," Economic Modelling, Elsevier, vol. 113(C).
    8. Qingsong He & Miao Yan & Linzi Zheng & Bo Wang & Jiang Zhou, 2023. "The Effect of Urban Form on Urban Shrinkage—A Study of 293 Chinese Cities Using Geodetector," Land, MDPI, vol. 12(4), pages 1-17, March.
    9. Tscharaktschiew, Stefan & Reimann, Felix, 2021. "On employer-paid parking and parking (cash-out) policy: A formal synthesis of different perspectives," Transport Policy, Elsevier, vol. 110(C), pages 499-516.
    10. Crafts, Nicholas, 2012. "Creating Competitive Advantage: Policy Lessons from History," CAGE Online Working Paper Series 91, Competitive Advantage in the Global Economy (CAGE).
    11. Kalra, Aarushi, 2021. "A 'Ghetto' of One's Own: Communal Violence, Residential Segregation and Group Education Outcomes in India," SocArXiv rzjct, Center for Open Science.
    12. Cheng Keat Tang, 2016. "Traffic Externalities and Housing Prices: Evidence from the London Congestion Charge," SERC Discussion Papers 0205, Centre for Economic Performance, LSE.
    13. Rosa M. González-Marrero & Rosa M. Lorenzo-Alegría & Gustavo A. Marrero, 2011. "Los Efectos Territoriales de las Infraestructuras: La inversión en redes de alta velocidad ferroviaria," Economic Reports 05-2011, FEDEA.
    14. Coulibaly, Thierry Yerema & Managi, Shunsuke, 2022. "Populations in slums are happier than rural populations: The case of Mumbai," Land Use Policy, Elsevier, vol. 122(C).
    15. Lars Vilhuber, 2024. "Report of the AEA Data Editor," AEA Papers and Proceedings, American Economic Association, vol. 114, pages 878-890, May.
    16. William C. Strange, 2009. "Viewpoint: Agglomeration research in the age of disaggregation," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 42(1), pages 1-27, February.
    17. Nolan Ritter & Julia Anna Bingler, 2021. "Do homo sapiens know their prices? Insights on dysfunctional price mechanisms from a large field experiment," CER-ETH Economics working paper series 21/348, CER-ETH - Center of Economic Research (CER-ETH) at ETH Zurich.
    18. Yifu Ou & Euijune Kim & Xingjian Liu & Kyung-Min Nam, 2023. "Delineating functional regions from road networks: The case of South Korea," Environment and Planning B, , vol. 50(6), pages 1677-1694, July.
    19. André de Palma & Robin Lindsey, 2009. "Traffic Congestion Pricing Methods and Technologies," Working Papers hal-00414526, HAL.
    20. Andersson, Matts & Dehlin, Fredrik & Jörgensen, Peter & Pädam, Sirje, 2015. "Wider economic impacts of accessibility: a literature survey," Working papers in Transport Economics 2015:14, CTS - Centre for Transport Studies Stockholm (KTH and VTI).

    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:adx:journl:v:3:y:2021:i:2:p:67-79. 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: Iqbal Javed (email available below). General contact details of provider: https://www.scienceimpactpub.com/journals/index.php .

    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.