An Examination of the Relationship between Traffic Congestion and Vehicle Operating Cost in Lagos State
Ojo, Jonathan Olaniyi
Department of Transport Management, Ladoke Akintola University of Technology, Ogbomoso, P. M. B. 4000, Oyo State, Nigeria.
Gbadgesin Adeolu Emmanuel *
Department of Transport Management, Ladoke Akintola University of Technology, Ogbomoso, P. M. B. 4000, Oyo State, Nigeria.
*Author to whom correspondence should be addressed.
Abstract
This study investigates the association between traffic congestion and vehicle operating costs for freight operators in Lagos State Nigeria. It showcases the importance of transport for economic activities and the role of road freight transport in improving logistics efficiency. The research is focused on the traffic congestion adverse effect on freight transportation operational costs including fuel consumption and maintenance cost. The growing population as well as vehicle numbers in cities lead to traffic jams that cause costs to increase for the freight transport sector. Existing studies have addressed congestion-related costs from a variety of perspectives, identifying considerable financial impairments for businesses. Nevertheless, there is no research to document the effect that congestion has on operating expenses for motor vehicles. The research used a purposive sampling technique to select 353 respondents from registered haulage companies in Lagos State. Survey and interview methods were used in the study while data was analyzed using Pearson's Product-Moment Correlation Coefficient, showing a notable and negative relationship between vehicle operating costs and traffic congestion. The findings demonstrate the costs incurred through efficiency losses and heightened expenses by freight operators due to traffic congestion. The study gives recommendations that policymakers and stakeholders need to be strategic in countering congestion and reducing the operational burden on freight operators, which can be useful data in research on transport challenges in urban areas with the view of improving sustainable transport system planning.
Keywords: Traffic congestion, vehicle operating costs, freight operators, road freight transport, fuel consumption, maintenance costs
How to Cite
Downloads
References
Leshem G, Ritov, YA. Traffic flow prediction using adaboost algorithm with random forests as a weak learner. International Journal of Mathematical and Computational Sciences. 2007;1(1):1-6.
Andrew M, Taner O, Brian DT, Trevor T. (2015). Congested Development: A Study of Traffic Delays, Access, and Economic Activity in Metropolitan Los Angeles. A Report to the John Randolph and Dora Haynes Foundation. Institute of Transportation Studies UCLA Luskin School of Public Affairs 3250 Public Affairs Building Los Angeles, CA 90095-1656 (310) 562-7356 its@luskin.ucla.ed
McKinnon A. Life without trucks: the impact of a temporary disruption of road freight transport on a national economy. Journal of Business Logistics. 2006;27(2):227-250.
Engström R. The roads’ role in the freight transport system. Transportation Research Procedia. 2016;14:1443-1452.
Fadare SO, Ayantoyinbo BB. A study of the effects of road traffic congestion on freight movement in Lagos metropolis. European Journal of Social Sciences. 2010;16(3):429-437.
Osho GS, Adishi O. The effects of macroeconomic variables on Lagos state economy; as Lagos economy goes, so goes the economy of Nigeria. Journal of Economics and Development Studies. 2019;7(1):1-9.
Shirley C, Winston C. Firm inventory behavior and the returns from highway infrastructure investments. Journal of Urban Economics. 2004;55(2):398-415.
Shoaeb A, El-Badawy S, Gabr A. Direct costs of urban traffic congestion case study: main corridors in Mansoura City. International Journal of Computing, Communication and Instrumentation Engineering. 2016;3(2):1-8.
RACQ. Private vehicle expenses 2015,” RACQ Motoring and Travel services, Queensland; 2015.
American Automobile Association (AAA). your driving costs. AAA Exchange motor club, Heathrow, USA; 2015. Available:http://www.exchange.aaa.com/, Accessed on 12th Jan 2016.
Litman T. Evaluating rail transit benefits: A comment. Transport Policy. 2013;14(1):94–97.
World Bank. Cairo traffic congestion study phase i. world bank, prepared by ECORYS Nederland BV and SETS Lebanon for the World Bank and the Government of Egypt, with funding provided by the Dutch - Egypt Public Expenditure Review Trust Fund; 2010.
Khan T, Islam MR. Estimating costs of traffic congestion in Dhaka city. International Journal of Engineering Science and Innovative Technology (IJESIT). 2013;2(3):281-289.
McKinnon KI. Convergence of the Nelder--Mead Simplex method to a nonstationary Point. SIAM Journal on optimization. 1998;9(1):148-158.
McKinnon WB. Convective instability in Europa's floating ice shell. Geophysical Research Letters. 1999;26(7):951-954.
Zhang K, Nie YM. Mitigating traffic congestion induced by transportation network companies: A policy analysis. Transportation Research Part A: Policy and Practice. 2022;159:96-118.
Sankaran JK, Gore A, Coldwell B. The impact of road traffic congestion on supply chains: insights from Auckland, New Zealand. International Journal of Logistics: Research and Applications. 2005;8(2):159-180.
Falayi IM. Elements of internally generated revenue and economic growth in Lagos State. Journal of Accounting and Financial Management. 2023;9(2):78-93.
Dano UL, Balogun AL, Abubakar IR, Aina YA. Transformative urban governance: Confronting urbanization challenges with geospatial technologies in Lagos, Nigeria. GeoJournal. 2020;85: 1039-1056.
Rahane SK, Saharkar UR. Traffic congestion-causes and solutions: a study of Talegaon Dabhade City. Journal of Information, knowledge and research in civil engineering. 2014;3(1): 160-163.
Downie. The world worst traffic jams time; 2008.
Retrieved on: 14th August 2017 Available:http://www.time/world/article/0,8599,1733872.html
Kiunsi RB. A review of traffic congestion in Dar es Salaam city from the physical planning perspective. Journal of Sustainable Development. 2013;6(2):94-103.
Blanco H, Alberti M, Forsyth A, Krizek KJ, Rodriguez DA, Talen E, Ellis C. Hot, congested, crowded and diverse: Emerging research agendas in planning. Progress in Planning. 2009;71(4):153–205.
Yildirim MB. Congestion toll pricing models and methods for variable demand networks (Doctoral dissertation). University of Florida; 2001.
Brownfield J, Graham A, Eveleigh H, Ward H, Robertson S, Allsop R. Congestion and accident risk. Department for Transport, Road Safety Research Report No. 44. ; 2003. Available:http://www.dft.gov.uk
Remi AJ, Adegoke AAI, Oyerinde AJ. A study of the causes, effects and ameliorative measures of road traffic congestion in Lagos Metropolis. European Journal of Social Sciences. 2009;11(1): 119–128.
Mahmud K, Gope K, Chowdhury SMR. Possible causes & solutions of traffic jam and their impact on the economy of Dhaka City. Journal of Management and Sustainability. 2012;2(2): 112–135.
Andoh AK. Managing road traffic congestion in the Cape coast Metropolis, Ghana (Masters dissertation). Retrieved from University of Cape Coast, Ghana Repository; 2014.
Jain K, Vazirani VV. Eisenberg–Gale markets: Algorithms and game-theoretic properties. Games and Economic Behavior. 2010;70(1):84–106
Wilson C. Learning phonology with substantive bias: An experimental and computational study of velar palatalization. Cognitive Science. 2006;30(5):945-982.
Somuyiwa OA. Impact of freight flows on city logistics in a megacity of a developing economy. Journal of Geography and Regional Planning. 2010;3(2):029-034.
Field A. Discovering statistics using IBM SPSS statistics. Sage; 2013.
Roni SM, Merga MK, Morris JE. Conducting quantitative research in education. Springer Singapore; 2020.
Sun C, Lu J. Data envelopment analysis of urban development efficiency from a traffic congestion perspective. Journal of Urban Planning and Development. 2023;149 (2):05023011.
Shafiei S, Gu Z, Grzybowska H, Cai C. Impact of self-parking autonomous vehicles on urban traffic congestion. Transportation.2023;50(1):18 3-203.
Abuh PO, John JA. Geographic analysis of traffic congestion in FCT-Abuja, Nigeria. Journal of Sustainability and Environmental Management. 2023;2(1):26-32.
Adepoju OO, Balogun AQ, Bekesuomowei OD. Impact of fuel subsidy removal on gross domestic product and transportation cost in Nigeria. European Journal of Theoretical and Applied Sciences. 2023;1( 5):769-777.
Mohanty S, Paul S. A frame work for comparative wear-based failure analysis of CNG and diesel operated engines. Energy. 2023;269:126675. Available:https://doi.org/10.1016/j.energy.2023.126675