Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32451
Integrated Mass Rapid Transit System for Smart City Project in Western India

Authors: Debasis Sarkar, Jatan Talati


This paper is an attempt to develop an Integrated Mass Rapid Transit System (MRTS) for a smart city project in Western India. Integrated transportation is one of the enablers of smart transportation for providing a seamless intercity as well as regional level transportation experience. The success of a smart city project at the city level for transportation is providing proper integration to different mass rapid transit modes by way of integrating information, physical, network of routes fares, etc. The methodology adopted for this study was primary data research through questionnaire survey. The respondents of the questionnaire survey have responded on the issues about their perceptions on the ways and means to improve public transport services in urban cities. The respondents were also required to identify the factors and attributes which might motivate more people to shift towards the public mode. Also, the respondents were questioned about the factors which they feel might restrain the integration of various modes of MRTS. Furthermore, this study also focuses on developing a utility equation for respondents with the help of multiple linear regression analysis and its probability to shift to public transport for certain factors listed in the questionnaire. It has been observed that for shifting to public transport, the most important factors that need to be considered were travel time saving and comfort rating. Also, an Integrated MRTS can be obtained by combining metro rail with BRTS, metro rail with monorail, monorail with BRTS and metro rail with Indian railways. Providing a common smart card to transport users for accessing all the different available modes would be a pragmatic solution towards integration of the available modes of MRTS.

Keywords: Mass rapid transit systems, smart city, metro rail, bus rapid transit system, multiple linear regression, smart card, automated fare collection system.

Digital Object Identifier (DOI):

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1111


[1] National urban transport policy document, (Accessed on 1st September, 2017).
[2] P. Shrivastava and M. Mahony “Modelling An Integrated Public Transportation System- A Case Study In Dublin, Ireland” Journal of European Transport, vol. 41, pp 1-19, 2009.
[3] P. Shrivastava and Dhingra L. “Operational Integration Of Suburban Railway And Public Buses- Case Study Of Mumbai” Journal Of Transportation Engineering, vol. 132, no. 6, pp 518-522, 2006.
[4] N. Monteiro, R. J. F. Rosseti, P. Campos and Z. Kokkinogenis “A Framework For a Multimodal Transportation Network: An Agent Based Model Approach”, Elsevier, Transportation Research Procedia, vol. 4, pp 213-227, 2014.
[5] J. Yu; G.L. Chang, W. Ma and X. Yang “Locating Urban Transit Hubs: Multicriteria Model and Case Study in China” Journal of Transportation Engineering, ASCE, vol. 137, pp 944-952, 2011.
[6] J. L. Rosenberg and A. M. Esnard “Applying a Hybrid Scoring Methodology to Transit Site Selection” Journal of Urban Planning and Development, vol. 134, no. 4, pp. 180-186, 2008.
[7] J. Camargo-Perez; R. Jairo, M. Torres, H. Martha, C. Ramlrez “Multicriteria Decision Making For Locating Multimodal Transfer Nodes In Passenger Transport Systems” International Conference on Systems, Man, and Cybernetics, IEEE, pp 718-723, 2013.
[8] Z. Wang, Y. Chen, and Y.Y. Mao “Development of a Planning Method for Coordinating a Public Transport Network with the Location of Transfer Terminals” Journal of Integrated Transportation Systems, ICCTP, ASCE, pp 2530-2539, 2010.
[9] P. Wu, Y. Chen, G. Zhang, W. Wu “The Coordination Evaluation Research For Multimodal Public Transport System” Journal of Integrated Transportation Systems, ICCTP, ASCE, pp 2515-2521, 2010.
[10] M. Kumar, P. Sarkar, and M. Errampalli “Development of Fuzzy Logic Based Mode Choice Model Considering Various Public Transport Policy Options” International Journal for Traffic and Transportation Engineering, vol. 3, no. 4, pp 408-425, 2013.
[11] C. Minal, and R. Shekhar, “Mode Choice Analysis: The Data, Models and Future Ahead” International Journal for Traffic and Transport Engineering, vol. 4, no. 3, pp 269-285, 2014.
[12] D. Sarkar, and P. Kamdar “Application of Simulation in Evaluation of Travel Time Performance of Bus Rapid Transit System, Ahmedabad” Journal of Institution of Engineers, vol. 92, pp. 9-13, 2011.
[13] A. Sarkar, A. Mane, and S. Arkatkar “Study of Modal Shift to Bus Rapid Transit (BRT) In Developing Country: A Case Study In India” Int. 94th Annual Transportation Research Board Meeting, Washington D.C, 2014.