Generating Models of Mode Choice Analysis for an Industrial Zone (Gidc Makkarpura) in the City of Vadodara

Abstract

Various modes of transportation are available for road users. The choice for one particular mode greatly depends upon various factors such as socio-economic factors, trip characteristics, travel characteristics etc. In order to determine the overuse or ineffective use of a particular mode of transportation; it is necessary to analyse all the possible responsible factors. This study was conducted to determine the ruling factors of the mode choice in an industrial zone- GIDC Makkarpura in the city of Vadodara, where majority of the daily work trips are concentrated. The study was carried out by surveys in two parts, where the Revealed preference survey determines the major affecting factors of mode choice and the Stated preference survey comprises hypothetically framed 16 choice sets, giving choice between the private and public mode of transport for the varying conditions of the main factors determine from the RP survey (i.e travel time, travel cost, comfort and safety). Based on the responses of chosen sample, 8 models for the mode choice has been generated, and calibrated in the Biogeme software. The calibration gives the best suitable model to be implemented in order to shift maximum of private mode trips to the public mode. The choice of the best model is based on the utility value it gives for the use of public transport and the value of resulting probability. Mode shift results so generated helps in reducing the traffic congestion, as it encourages the use of public transport against the private.

Authors and Affiliations

Bharvi A. Shah, Dr. L. B. Zala

Keywords

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  • EP ID EP23959
  • DOI http://doi.org/10.22214/ijraset.2017.4253
  • Views 313
  • Downloads 10

How To Cite

Bharvi A. Shah, Dr. L. B. Zala (2017). Generating Models of Mode Choice Analysis for an Industrial Zone (Gidc Makkarpura) in the City of Vadodara. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(4), -. https://europub.co.uk/articles/-A-23959