Estimation of Public Transport Demand in Million Plus Indian Cities based on Travel Behavior
Ar Anuj Jaiswal1, Ashutosh Sharma2, Jigyasa Bisaria3
1Ar Anuj Jaiswal, Department of Architecture and Planning, Manit, Bhopal, India.
2Ashutosh Sharma, Department of Architecture and Planning, Manit, Bhopal, India.
3Jigyasa Bisaria, Visiting Faculty, School of Planning & Architecture, Bhopal, India.
Manuscript received on September 26, 2012. | Revised Manuscript received on October 09, 2012. | Manuscript published on October 30, 2012. | PP: 249-254 | Volume-2 Issue-1, October 2012.  | Retrieval Number: A0745102112/2012©BEIESP

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Abstract: The rapid growth in vehicles population has put enormous strains in all urban roads in Indian cities with population between 1 to 2 million. The major factors influencing public transport ridership are poor service quality and more traveling time. This study presents a quantitative model and identified the factors that affect the public transport ridership. A weighed regression model using data of public preferences in travel time, travel cost, and other quality related parameters is build and probability of two wheeler users switching over to public transport is estimated. With this model, the expected increase in public transport ridership for Bhopal and similar Indian cities can be approximated. This model can also assist transport planners and service providers to find innovative and financially viable solutions for better public transport facilities. 
Keywords: Public transport demand estimation, travel behavior, demand parameters.