This is an open access article distributed under the CC BY 4.0
Volume 19 article 772 pages: 125 -136
Congestion on roads results in infrastructural deficiencies including massive delays, greater fatalities, and enhanced
mental stresses, reduced transit efficiency, and increased travel costs. Traffic is a major problem specifically in the
central area of the Lahore city. This study is aimed at understanding the traffic congestion from the stakeholders’
perspective and suggesting congestion mitigation measures. A sample of 365 respondents was included through
the administration of the questionnaire survey to record the explanatory variables. For this purpose, random cluster
sampling method was employed to select respondents (135 pedestrians, 107 shopkeepers, 116 motorists). In-depth
interviews were conducted with 7 individuals from Traffic Engineering and Planning Agency (TEPA) and Department
of Transportation Engineering and Management (DTEM), about their perceptions of traffic management in the Lahore
city. The results are described in the form of statistics of the data, qualitatively and quantitatively. The study has
shown that the illegal parking on roadside, bad attitude of motorists and shop keepers, encroachments and running
business on streets are the primary reasons for traffic congestion. These traffic congestions are hindering the efficient
movements of the fl ow entities and causing mental stresses in the local residents. The findings of this study endorse
that strict enforcement of traffic laws, provision of adequate parking spaces, provision of overhead pedestrian bridges,
and education of traffic rules among masses could help to manage the traffic congestion in the central area of
The authors are very much thankful to the Transport
Planners from the Traffic Engineering and Planning
Agency (TEPA) for their valuable time and suggestions.
Our gratitude is also extended to the people from academia,
especially from Department of Transportation Engineering and Management (DTEM) from University
of Engineering and Technology (UET) for their recommendations
to improve the traffic conditions in the central
1. Jones, H., Moura, F., Domingos, T. (2014). Transport Infrastructure Project Evaluation Using Cost-benefit Analysis. Procedia - Social Behavioral Sciences, vol. 111, 400–409, DOI: 10.1016/j.sbspro.2014.01.073.
2. Kiunsi, R.B. (2014). A Review of Traffic Congestion in Dar es Salaam City from the Physical Planning Perspective. Journal of Sustainable Development, vol. 6, no. 2, 94–103, DOI: 10.5539/jsd.v6n2p94.
3. Lam, S.H., Toan, T.D. (2006). Land transport policy and public transport in Singapore. Transportation, vol. 33, no. 2, 171–188, DOI: 10.1007/s11116-005- 3049-z.
4. Texas Transportation Institute (TTI). The Keys to Estimating Mobility in Urban Areas Applying Definitions and Measures That Everyone Understands A White Paper Prepared for the Urban Transportation Performance Measure Study,” Texas, 2005.
5. Mahendra, A. (2008). Vehicle restrictions in four latin American cities: Is congestion pricing possible?. Transport Reviews, vol. 28, no. 1, 105–133, DOI: 10.1080/01441640701458265.
6. Hickman, R., Ashiru, O., Banister, D. (2010). Transport and climate change: Simulating the options for carbon reduction in London. Transport Policy, vol. 17, no. 2, 110–125, DOI: 10.1016/j.tranpol.2009.12.002.
7. Ali, P.J.M., Faraj, R.H. (2013). A traffic congestion problem and solutions: the road between Sawz Square and Shahidan Square in Koya city as a case study. First International Symposium on Urban Development: Koya as a Case Study, p. 125–133, DOI: 10.2495/isud130151.
8. The European Institute of Innovation & Technology (EIT). (2017). EIT Strategy 2021 - 2027. https://eit. europa.eu/eit-strategy-2021-2027.
9. Javid, M.A. (2016). Travel Demand Management Policies Prospects for Lahore: Rating and Classification. International Journal of Innovative Research in Engineering & Management, vol. 3, no. 5, 409–413.
10. Javid, M.A., Mehmood, T., Asif, H.M., Vaince, A.U., Raza, M. (2017). Travelers’ attitudes toward carpooling in Lahore: motives and constraints. Journal of Modern Transportation, vol. 25, no. 4, 268–278, DOI: 10.1007/s40534-017-0135-9.
11. Javid, M.A., Okamura, T., Nakamura, F., Tanaka, S., Wang, R. (2016). People’s behavioral intentions towards public transport in Lahore: Role of situational constraints, mobility restrictions and incentives. KSCE Journal of Civil Engineering, vol. 20, no. 1, 401–410, DOI: 10.1007/s12205-015-1123-4.
12. Javid, M.A., Okamura, T., Nakamura, F., Tanaka, S., Wang, R. (2015). Factor Influencing the Acceptability of Travel Demand Management Measures in Lahore: Application of Behavioral Theories. Asian Transport Studies, vol. 3, no. 4., 447–466, DOI: http://doi.org/10.11175/eastsats.3.447.
13. Batool, Z., Carsten, O., Jopson, A. (2012). Road safety issues in Pakistan: A case study of Lahore. Transportation Planning and Technology, vol. 35, no. 1, 31–48, DOI: 10.1080/03081060.2012.635415.
14. Traffic Engineering & Transport Planning Agency (TEPA), “TEPA.” Accessed: Aug. 10, 2020. Available: https://tepa.punjab.gov.pk/.
15. Rana, M.A., Aleem, M. (2014). Study of Traffic Problems and Suggested Solutions of Thokar Niaz Baig Intersection. First International Conference on Emerging Trends in Engineering, Management and Scineces, vol. 2014, no. 1, p. 1–8.
16. Rahane, S.K., Saharkar, U.R. (2014). Traffic Congestion - Causes And Solutions: A Study Of Talegaon Dabhade City. Journal Of Information, Knowledge And Research In Civil Engineering, vol. 3, no. 1, 160–163.
17. Yildirim, M. B. (2001). Congestion Toll Pricing Models and Methods for Variable Demand Networks,” University of Florida. http://hdl.handle.net/10057/11909
18. Blanco, H., Alberti, M., Forsyth, A., Krizek, K.J., Rodríguez, D.A., Talen, E., Ellis, C. (2009). Hot, congested, crowded and diverse: Emerging research agendas in planning. Progress in Planning,, vol. 71, no. 4, 153–205, DOI: 10.1016/j.progress.2009.03.001.
19. Litman, T.A., Doherty, W.E. (2009). Executive Summary of Transportation Cost and Benefit Analysis Techniques, Estimates and Implications. Transportation Cost and Benefit Analysis: Techniques, Estimates and Implications, Available: http://www.vtpi. org/tca/tca00.pdf.
20. Vickrey, W. (1992). Principles of Efficient Congestion Pricing. Columbia University. https://www.vtpi.org/ vickrey.htm (accessed October 09, 2020).
21. Rao, A.M., Rao, K.R. (2012). Measuring Urban Traffic Congestion - A Review. International Journal of Traffic and Transportion Engineering, vol. 2, no. 4, 286–305.
22. Shamsher, R., Abdullah, M.N. (2013). Traffic Congestion in Bangladesh-Causes and Solutions: A study of Chittagong Metropolitan City. Asian Bussiness Review, vol. 2, no. 3, 2304–2613, DOI: https:// doi.org/10.18034/abr.v2i1.116.
23. Toan, T.D. (2019). Managing traffic congestion in a city : A study of Singapore ’ s experiences Managing traffic congestion in a city : A study of Singapore ’ s experiences Toan Trinh Dinh. International Conference on Sustainability in Civil Engineering, 24- 25/11/2018, p 1–10.
24. Weisbrod, G., Treyz, G. (2003). Measuring the Economic Costs of Urban Traffic Congestion to Business. Transportation Researcch Record, vol. 1839, no. 1, 98-106, DOI: 10.3141/1839-10.
25. Masood, M.T., Khan, A., Naqvi, H.A. (2011). Transportation Problems in Developing Countries Pakistan: A Case-in-Point. International Journal of Bussiness and Management, vol. 6, no. 11, 256–266, DOI: 10.5539/ijbm.v6n11p256.
26. Jain, K., Vazirani, V.V. (2010). Eisenberg-Gale markets: Algorithms and game-theoretic properties. Games and Economic Behavior, vol. 70, no. 1, 84– 106, DOI: 10.1016/j.geb.2008.11.011.
27. Mensah, J., Annan, J., Andoh-Baidoo, F. (2014). Assessing the Impact of Vehicular Traffic on Energy Demand in the Accra Metropolis. Journal of Management Policy and Practice, vol. 15, no. 4, 127–136, http://t.www.na-businesspress.com/JMPP/
28. Mahmud, K., Gope, K., Chowdhury, S.M.R. (2012). Possible Causes & Solutions of Traffic Jam and Their Impact on the Economy of Dhaka City. Journal of Management and Sustainability, vol. 2, no. 2, 112- 135, DOI: 10.5539/jms.v2n2p112.
29. Chin, H.C., Foong, K.W. (2008). Issues in transportation planning–the Singapore experience. in Advances in City Transport, 17th ed., vol. 22, S. Basbas, Ed. WIT, p. 127–158.
30. World Health Organization (WHO). (2013). Make walking safe: a brief overview of pedestrian safety around the world. p. 1-8. Accessed: Aug. 10, 2020. Available: https://www.who.int/publications/i/item/ make-walking-safe-a-brief-overview-of-pedestriansafety- around-the-world.
31. Teye-Kwadjo, E. (2011). Risk perception, traffic attitudes and behaviour among pedestrians and commercial minibus drivers in Ghana: a case study of Manya Krobo district. Norges teknisk- naturvitenskapelige universitet.
32. Grinyer, A. (2005). The Anonymity of Research Participants: Assumptions, Ethics and Practicalities. Social Research Update, no. 36, 1–4, DOI: 10.1007/978-1-349-13387-1.
33. Japan International Cooperation Agency (JICA). (2012). The Project for Lahore Urban Transport Master Plan in the Islamic Republic of Pakistan. Accessed: Aug. 10, 2020. Available: https://openjicareport. jica.go.jp/pdf/12068110_01.pdf.
34. Levy, J.I., Buonocore, J.J., Stackelberg, K. (2010). The Public Health Costs of Traffic Congestion A Health Risk Assessment. Environmental Health, vol. 9, no. 65, pp. 1–10.
35. Popoola, M.O., Abiola, S.O., Adeniji, W.A. (2013). Traffic Congestion on Highways in Nigeria Causes, Effects and Remedies. International Journal of Civil and Environmental Engineering, vol. 7, no. 11, 524– 529, DOI:10.5281/zenodo.1088952.
36. Cebr (2014). The Future Economic and Environmental Costs of Gridlock in 2030: An Assessment of the Direct and Indirect Economic and Environmental Costs of Idling in Road Traffic Congestion to Households in the UK, France, Germany and the USA. Available: http://www.cebr.com/reports/the-future- economic-and-environmental-costs-of-gridlock/.
37. Currie, J., Walker, R. (2011). Traffic Congestion and Infant Health: Evidence from E-ZPass. American Economic Journal: Applied Economics, vol. 3, no. 1 65–90, DOI: 10.1257/app.3.1.65.
38. Ali, N., Rahim, A. (2018). Scenario-Based Impediments for Intelligent Freight Transportation in Pakistan. 15th International Conference on Smart Cities Improvement and Qualty of Life Using ICT IoT, HONET-ICT 2018, p. 97–101, DOI: 10.1109/HONET. 2018.8551329.
39. Omidvari, M., Nouri, J. (2009). Effects of noise pollution on traffic policemen. International Journal of Environmental Research, vol. 3, no. 4, 645–652, DOI: 10.22059/IJER.2010.80.
40. Ali, N., Javid, M.A,. Rahim, A. (2020). Predicting Transit Mode Choice Behavior from Parents ’ Perspectives: A Case Study in Lahore, Pakistan. Jordan Journal of Civil Engineering, vol. 14, no. 4, 476–489, https://jjce.just.edu.jo/issues/paper.php?p=5646. pdf.