- Open Access
- Authors : Abhishek Pratap Singh Sikarwar , Yusuf Sultan
- Paper ID : IJERTV9IS110193
- Volume & Issue : Volume 09, Issue 11 (November 2020)
- Published (First Online): 02-12-2020
- ISSN (Online) : 2278-0181
- Publisher Name : IJERT
- License: This work is licensed under a Creative Commons Attribution 4.0 International License
Mode Shift Behavior Study with Respect to Introduction of Metro Rail System in Indore City
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[1] Abhishek Pratap Singh Sikarwar, [2] Mr. Yusuf Sultan, [1] M.E (Transportation Engineering), SGSITS, Indore [2] Asst. professor, CE & AMD, SGSITS, IndoreAbstract With growing number of Vehicles and more importantly private vehicles at an alarming rate in almost all major and medium cities in India. No one can argue that the viable solution in present context can only be Rapid Transit system of public transport in the form of Metro, Bus transit System, Mono rails, Metro etc. It is targeted towards contributing significantly in sustainable mobility by shifting a large number of commuters from their current transport mode of choice in most cases private cars. The travel behavior of a commuter is necessary to be analyzed before planning and operation of any such transit system. Before planning and implementation out of various types of model, the discrete choice model analysis of mode shift is necessary to formulated and studied. Which mode to choose from number of available modes and on what parameters under a given set of circumstances is studied through the mode shift behavior analysis. This study is aimed at developed a binomial logistic regression model based on the stated preference questionnaire response with regards to mode shift choice of commuters of Line
3 of Indore (M.P, India) metro which is under construction. Charts & Graphs related to reason of shift; current mode share etc. are also prepared. The equation is formulated which establishes the relation between the probability of shift and the independent variables.
Index Terms SPSS, Mode Shift, Binary Logistics Regression, Mathematical modelling.
I. INTRODUCTION
The transportation planning is a four-step process which includes the trip generation, followed by trip distribution then the modal split and finally trip assignment. Level of trip making is explained by trip distribution while the relative frequency with which the trips are made are explained by trip distribution. The modal split is concerned with assigning and choosing a suitable to make a particular trip. Increase in time per distance and increase in cost per distance cause the commuters to switch to car and two-wheelers from public transport. the individual characteristics of the traveler (like the trip purpose and the socioeconomic background) can affect the demand for such a transport mode. Mode choice study is necessary to develop any efficient transport network and for economic and efficient operation and management of Transit system to solve the ever- increasing problem of congestion and delays. Since the fast- developing cities are introducing metro transit services now, and the cities are not planned, developed and designed keeping in mind this new introduction, the early land use planning has not reserved space for any such system. Which leads to large difficulties in build transfer facilities for the dedicated metro corridor and the available space for normal movement is also suffered. This can create an additional disadvantage rather than
providing the solution for reduction of congestion. The need of the study are as follows: –
The study will help us understand the mode shift behavior based on mathematical models and user- based opinion.
The parameters which are assessed to be important are carefully dealt with while operation, maintenance and expansion of the Transit System to increase efficiency.
The study on its successful completion will provide us with the current mode share of the city based on our sample size and establish relation between shift probability and independent variables.
Relevant Literature ReviewSome relevant works in mode choice modellingPreliminary Data AnalysisThe Age effectsData CollectionThe Gender effects ={} = {}The Income effects ={}The Reason of ShiftBinomial Logistic Regression Analysis
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