A Critical Appraisal of Mode Choice Model of Work Trips
Faizi Ahmad Javeed1, Juremalani Jayeshn.R.2, Bagadia Sanket3, Juremalani Dharmesh4

1Ahmad Javeed Faizi,* M.Tech student, Department of Civil Engineering, Parul University, Vadodara, Gujarat, India.
2Jayesh Juremalani, Assistant Professor, Department of Civil Engineering, Parul University, Vadodara, Gujarat, India.
3Sanket Bagadia, Assistant Professor, Department of Civil Engineering, Parul University, Vadodara, Gujarat, India.
4Dr. Dharmesh Juremalani, Dean and Principal of G C Patel institute of Architecture, Surat, Gujarat, India.
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 1766-1770 | Volume-9 Issue-1, October 2019 | Retrieval Number: F9056088619/2019©BEIESP | DOI: 10.35940/ijeat.F9056.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: In the present scenario in world, many mode choice models have been developed to predict the travelers mode choice in the available modes of transportation system .The mode choice model is one of a very significant component in the urban transportation planning and policies, specifically in countries that are toward development and urbanization, like South Asian countries(India, Bangladesh, Nepal, etc.)the increasing horizontal spread of cities that led to increased travel demand. The aim of this review is to study the developing of mode choice model for various transportation modes .The developed models cover different modes of transportation currently employed in cities, which are Private car, Taxi, Public bus, Auto-rickshaw, Motorcycles, Shared car, Bicycles, Walking. They have been tried to be estimated for work, education, shopping and other trips .There are some factors that considerably in fluence the choice of transport modes are: Socio economics variables such as age, gender, car ownership, and family monthly income. Network variables are such as travel time, travel cost, comfort, reliability, employment, driving license weather, and dust &noise. The data was collected for each of the alternative modes through questionnaire by face to face interview or by using Google form. There are different methods that can be applied for the developing a mode choice model, multinomial logit model is the easiest method with simple mathematical calculations; this method was also used by many authors for analysis and for checking the validation the likelihood ration test .the application of mode choice model is significant to mode user to have best choice, and also such models can assist in the alleviation of traffic congestion and air pollution in the city.
Keywords: Logit models, mode choice, transportation planning, utility function.