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Article

INFLUENCE OF SERVICE FACTORS IN THE MODEL OF PUBLIC TRANSPORT MODE: A BANJARMASIN – BANJARBARU ROUTE CASE STUDY

DOI: 10.7708/ijtte.2015.5(2).03


5 / 2 / 108-119 Pages

Author(s)

Iphan F. Radam - Study Program of Civil Engineering, Lambung Mangkurat University, Banjarmasin, Indonesia -

Agus T. Mulyono - Department of Civil Engineering, Gadjah Mada University, Yogyakarta, Indonesia -

Bagus H. Setiadji - Department of Civil Engineering, Diponegoro University, Semarang, Indonesia -


Abstract

This research is aimed to examine the extent to which the service factors will affect the probability of people choice on public transports offered. The service factors are essential since the habits in the planning of new public transport at developing cities tend to prioritizes “travel time” and “travel cost” only. Consequently, there will be more than a small number of new public transports that will meet the same fate as the previous ones, i.e. unable to attract the users’ interest. The research is focused on Banjarmasin City and Banjarbaru City which are two administrative cities with high development level and are large generation/attraction zones in South Borneo. The tendency of the use of private vehicles remains high with one of the reasons is the level of transportation services which are still low. Therefore, the planning of new alternative transports (bus) is required, in addition to the existing Paratransit transportation (mikrolet/Indonesian minibus). To obtain a utility and probability model of the of travelers (users) in selecting the public transport modes between the existing transports and new bus alternative transports, the Logit method approach was used and the data were collected by using Stated Preference technique. From the result of this research, the model of mode choice is obtained by including service factors showing the improvement of goodness of fit model, and is compared by those without including service factors. The average of service effect on the increase in the choice probability of the services is 22%, both in the sensitivity of the travel time and travel costs.


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