Urban and Regional Planning
Volume 4, Issue 1, March 2019, Pages: 39-47
Received: Mar. 11, 2019;
Accepted: Apr. 29, 2019;
Published: May 26, 2019
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Md. Tufajjal Hossain, Department of Urban & Regional Planning, Pabna University of Science and Technology, Pabna, Bangladesh
Md. Kamrul Hasan, Department of Urban & Regional Planning, Pabna University of Science and Technology, Pabna, Bangladesh
During the last decades urban migration rate has broken all records in Bangladesh due to several factors like climatic changes, increase in national income, technological advancements etc. These unusual urban dwellers create pressure on travel pattern within the cities. As a result intensive traffic flow has become a common scenario in almost every city in Bangladesh which creates severe traffic congestion that brings speechless woe for citizens. This situation challenges transportation planners and engineers to provide sustainable traffic management strategies to manage traffic congestion. This study has been conducted to measure the intensity of traffic congestion of Pabna town and to identify the traffic congestion spot within the town. Spot speed study and journey and delay studies were the main methodological approaches to conduct the study. The data collected has been analyzed through the use of different statistical computer packages. The study has explored that the average speed of Pabna town has found 13.67 K. P. H with average delays of 3.38 minutes or 203 seconds for a single journey. Pachmatha morr has been identified as the most congested prone intersection of the town. The study has also found that pedestrians movement on the streets due to unavailable footpath, unauthorized hawkers alongside the streets, illegal parking on streets, loading and unloading of passengers by auto-rickshaw and cycle rickshaw, right diverging and cross movement of traffic flow at intersections are the major causes of creating traffic congestion in the town. The suggestion from the study is one-way traffic flow and strict implementation of traffic regulation as a possible solution of congestion for the town.
Md. Tufajjal Hossain,
Md. Kamrul Hasan,
Speed Analysis Approach to Evaluate Traffic Congestion in Pabna Town, Urban and Regional Planning.
Vol. 4, No. 1,
2019, pp. 39-47.
Systematics, C. (2005). Traffic congestion and reliability: Trends and advanced strategies for congestion mitigation. Final Report, Texas Transportation Institute. http://ops. fhwa. dot. gov/congestion_report_04/index.htm.
Goodwin, P. (2004). The economic costs of road traffic congestion.
Levinson, H. S., Lomax, T. J., & Turner, S. (1997). Traffic Congestion-Past-Present-Future. In Traffic congestion and traffic safety in the 21st century: Challenges, innovations, and opportunities.
Lomax, T. J. (1990). Estimating transportation corridor mobility. Transportation Research Record, (1280).
Lomax, T., Turner, S., & Shunk, G. (1997). Quantifying Congestion. NCHRP Report 398. National Cooperative Highway Research Program. Transportation Research Board, Washington, DC.
Taylor, B. D. (2002). Rethinking traffic congestion. Access Magazine, 1 (21).
Thomson, J. M. (1998). Reflections on the economics of traffic congestion. Journal of transport economics and policy, 93-112.
Weisbrod, G., Vary, D., & Treyz, G. (2003). Measuring economic costs of urban traffic congestion to business. Transportation Research Record: Journal of the Transportation Research Board, (1839), 98-106.
Chowdhury, T. U., Raihan, S. M., Fahim, A., & Bhuiyan, M. A. (2016). A Case Study on Reduction of Traffic Congestion of Dhaka City: Banani Intersection. In International Conference on Agriculutural, Civil and Environmental Engineering (ACEE-16).
Olusina, J. O., & Samson, A. P. (2014). Determination of predictive models for traffic congestion in lagos metropolis. International Journal of Engineering, 5 (02), 8269.
Rao, A. M., & Rao, K. R. (2012). Measuring Urban Traffic Congestion-A Review. International Journal for Traffic & Transport Engineering, 2 (4).
Long, J., Gao, Z., Ren, H., & Lian, A. (2008). Urban traffic congestion propagation and bottleneck identification. Science in China Series F: Information Sciences, 51 (7), 948-964.
Sorensen, P., Wachs, M., Min, E. Y., Kofner, A., & Ecola, L. (2008). Moving Los Angeles: Short-term policy options for improving transportation. Rand Corporation.
Wang, G., Gao, Z., Xu, M., & Sun, H. (2014). Joint link-based credit charging and road capacity improvement in continuous network design problem. Transportation Research Part A: Policy and Practice, 67, 1-14.
O’Regan, B., & Buckley, F. (2003). The psychological effects of commuting in Dublin. Centre for research in management learning and development working paper series.
Osman, S. (2010). Dhaka’s Traffic Problem-Opportunities and Suggested Solutions.
Gilbert, R., & Perl, A. (2013). Transport revolutions: moving people and freight without oil. New Society Publishers.
Arnott, R., Rave, T., & Schöb, R. (2005). Alleviating urban traffic congestion. MIT Press Books, 1.
BBS (2005): Statistical Year Book of Bangladesh, Bangladesh Bureau of Statistics (www.bbs.gov.bd), Government of Bangladesh.
MIDP (2008). Municipal Infrastructure Development Plan for Pabna Paurashava, Pabna.