Volume List  / Volume 12 (3)



DOI: 10.7708/ijtte2022.12(3).07

12 / 3 / 373-393 Pages


Md. Aminul Islam - Bangladesh University of Engineering and Technology, Department of Civil Engineering, Bangladesh and Transport Planner, Nippon Koei Bangladesh Limited, Bangladesh -

Mahabubul Bari - SMEC, Bangladesh -


Mode choice behavior is a key element in public transport planning, as it has a direct impact on the design of urban transport system infrastructure, and is also the basis for urban public transport planning and management policymaking. The model is used to analyze and predict the choices that individuals or groups of individuals make in selecting the transportation modes that are used for particular types of trips. Typically, the goal is to predict the share or the absolute number of trips made by mode. An important objective in mode choice modeling is to predict the share of trips attracted to public transportation, this share eventually used in travel demand modeling in its modal split step. This specialized report is prepared using the mode choice model developed under the Dhaka Mass Rapid Transit Development (MRT Line-5 Northern Route) study adopting stated preference (SP) method to estimate the mode choice. Stated preference methods use in the transport sector to grab the preferences in a set of transport modes to estimate the utility functions which is usually used to predict the user’s choice of nonexistent transport mode in the urban network before implementation.

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Ahsan, H.M., Rahman, M.M., and Habib, K.N., 2002. Socio-Economic Status and Travel Tie Behaviour of Inter-city Bus Passengers: Bangladesh Perspective, Journal of Civil Engineering 30(2): 91-100.


Antoniou, C.; Matsoukis, E.; Roussi, P. 2007. A Methodology for the Estimation of Value-of-Time Using State -of-the-Art Econometric Models, Journal of Public Transportation 10(3): 1-19.


Becker, G. 1965. A theory of the Allocation of Time, The Economic Journal 75(299): 493-517.


Beesley, M.E., 1965. The value of time spent in travelling: some new evidence, Economica 32(126): 174-185.


Ben-Akiva, M.E.; Lerman, S.R. 1985. Discrete Choice Analysis: Theory and Application to Travel Demand. The MIT Press, Cambridge, Massachusetts, USA. 385 p.


Bhat, C.R.; Koppelman, F.S. 1999. Activity-based modeling of travel demand. In Handbook of transportation Science. Springer, Boston, MA. 35-61 p.


Bhat, C.R. 2000. Incorporating Observed and Unobserved Heterogeneity in Urban Work Mode Choice Modeling, Transportation Science 34(2): 228-238.


Bhat, C.R.; Sardesai, R. 2006. The Impact of Stop Making and Travel Time Reliability on Commute Mode Choice, Transportation Research Part B: Methodological 40(9): 709-730.


Cesario, F.J. 1976. Value of Time in Recreation Benefit Studies, Land Economics 52(1): 32-41. JICA. 2018. The Preparatory Study on The Dhaka Mass Rapid Transit Development Project (Line 5) in Bangladesh: Final Report. Japan International Cooperation Agency. Available from Internet: https://openjicareport.jica.go.jp/pdf/12323937.pdf.


Hensher, D.A.; Rose, J.M.; Rose, J.M.; Greene, W.H. 2005. Applied choice analysis: a primer. Cambridge university press. 695 p.


Koppleman, F.S.; Wen, C.H. 2000. The Paired Combinatorial Logit Model: Properties, Estimation and Application, Transportation Research Part B: Methodological 32(2):75-89.


Lerman, S. 1975. A Disaggregate Behavioral Model of Urban Mobility Decisions, Ph.D. Thesis, Department of Civil Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts. 337 p.


McFadden, D. L. 1977. Quantitative Methods for Analyzing Travel Behaviour of Individuals: Some Recent Developments. Working paper 474, Cowles Foundation. Available from Internet: http://coles.yale.edu/cfdp-474.


McFadden, D. L. 1980. Econometric Models for Probabilistic Choice among Products, The Journal of Business 53(3): 13-29.


McFadden, D. L. 1981. Econometric Models of Probabilistic Choice. In Structural Analysis of Discrete Data with Econometric Applications, ed. C. F. Manski and D. L. McFadden, 198-272.


Cambridge, MA: MIT Press. Ortúzar, J. de D.; Willumsen, L.G. 2011. Modelling Transport, 4th Edition, John Wiley & Sons, Chichester, Sussex, England.


Racca, D.P.; Ratledge, E.C. 2004. Factors That Affect and/or Can Alter Mode Choice. Delaware Transportation Institute and The State of Delaware Department of Institute and The State of Delaware Department of Transportation, University of Delaware. 43 p.


Richardson, T. 2006. Estimating individual values of time in stated preference surveys, Road & Transport Research: A Journal of Australian and New Zealand Research and Practice 15(1): 44-53.


Stratham, J.; Dueker, K. 1996. Transit service, parking charges, and mode choice for the journey to work; an analysis of the 1990 NPTS, Journal of Public Transportation 1(1): 13-38.


Wardman, M. 1987. The Distribution of Individual Values of Time: An Empirical Study Using Stated Preference Data. Working paper 244, Institute of Transport Studies, University of Leeds. 37 p.


Xumei, C.; Qiaoxian, L.; Guang, D. 2011. Estimation of Travel Time Values for Urban Public Transport Passengers Based on SP Survey, Journal of Transportation System Engineering and Information Technology 11(4): 77-84.


Ye, X.; Pendyala, R.M.; Gottardi, G. 2007. An exploration of the relationship between mode choice and complexity of trip chaining patterns, Transportation Research Part B: Methodological 41(1): 96-113.