Abstract
Personal Rapid Transit (PRT) is an efficient rapid transit system which provides the last mile connectivity to the users with a high level of reliability and comfort. This paper is focused on the estimation of travel demand for a PRT system in an area using stated preference technique and binary logit models. Dwarka is a township in south-western region of New Delhi, India, and it has been selected as the case study area for this study. Primary data has been collected during household and establishment surveys in the area. The surveys were conducted using stated preference technique and coupled with willingness to pay survey. Further, binary logit models have been developed to estimate a 36 percent (222,456 trips per day) shift to PRT from the existing modes in the area. Travel demand estimation is one of the critical aspects of planning a PRT system in an area. Using stated preference technique and binary logit models, the travel demand can be estimated very precisely for any area-wide or a larger city-wide PRT system.
Highlights
Travel demand estimation of a Personal Rapid Transit (PRT) system is essential for efficient planning and utilization of the mode
There is a need to prepare a precise methodology for travel demand estimation which can reduce the uncertainty associated with PRT and lead to efficient and precise operational and financial planning
PRT has been planned in the case study area to cater to the “Intra Dwarka Trips” which are the trips contained within Dwarka sub city
Summary
Travel demand estimation of a PRT system is essential for efficient planning and utilization of the mode. Utility functions for each mode have been developed and used for development on binary logit models These models have been used to estimate the shift in patronage from each of the modes to PRT and estimate the travel demand in the study area. PRT is gaining popularity around the world for its uninterrupted (Anderson, 2009), efficient and sustainable journey between origin and destination (Gilbert and Anthony, 2006) It is a lightweight system and it incurs lesser capital cost as compared to other Public Transport systems (Gilbert and Anthony, 2006).
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