@article{(Open Science Index):https://publications.waset.org/pdf/9998448,
	  title     = {Impact of Proposed Modal Shift from Private Users to Bus Rapid Transit System: An Indian City Case Study},
	  author    = {Rakesh Kumar and  Fatima Electricwala},
	  country	= {},
	  institution	= {},
	  abstract     = {One of the major thrusts of the Bus Rapid Transit System is to reduce the commuter’s dependency on private vehicles and increase the shares of public transport to make urban transportation system environmentally sustainable. In this study, commuter mode choice analysis is performed that examines behavioral responses to the proposed Bus Rapid Transit System (BRTS) in Surat, with estimation of the probable shift from private mode to public mode. Further, evaluation of the BRTS scenarios, using Surat’s transportation ecological footprint was done. A multi-modal simulation model was developed in Biogeme environment to explicitly consider private users behaviors and non-linear environmental impact. The data of the different factors (variables) and its impact that might cause modal shift of private mode users to proposed BRTS were collected through home-interview survey using revealed and stated preference approach. A multi modal logit model of mode-choice was then calibrated using the collected data and validated using proposed sample. From this study, a set of perception factors, with reliable and predictable data base, to explain the variation in modal shift behaviour and their impact on Surat’s ecological environment has been identified. A case study of the proposed BRTS connecting the Surat Industrial Hub to the coastal area is provided to illustrate the approach.
},
	    journal   = {International Journal of Civil and Environmental Engineering},
	  volume    = {8},
	  number    = {6},
	  year      = {2014},
	  pages     = {663 - 667},
	  ee        = {https://publications.waset.org/pdf/9998448},
	  url   	= {https://publications.waset.org/vol/90},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 90, 2014},
	}