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 -
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.
Number of downloads: 3330
Keywords:
mode choice;
stated preference;
service factors;
References:
Ben-Akiva, M.; Lerman, S.R. 1985. Discrete Choice Analysis: Theory and Application to Travel Demand. Cambridge: The MIT Press. 71 p.
Clark, W.A.; Hosking, P.L. 1986. Statistical methods for geographers. New York: John Wiley and Sons. 518 p.
dell’Olio, L.; Ibeas, A.; Cecin, P. 2011. The Quality of Service Desired By Public Transport Users, Transport Policy. DOI: http://dx.doi.org/10.1016/j.tranpol.2010.08.005, 18(1): 217-227.
Domencich, T.A.; McFadden, D. 1975. Urban Travel Demand: A Behavioral Analysis. Amsterdam: North-Holland Publishing Company. 124 p.
Eck, J.R.; Burghouwt, G.; Dijst, M. 2005. Lifestyles, Spatial Configurations and Quality of Life in Daily Travel: an Explorative Simulation Study, Journal of Transport Geography. DOI: http://dx.doi.org/10.1016/j.jtrangeo.2004.04.013, 13(2): 123-134.
Grdzelishvili, I.; Sathre, R. 2011. Understanding the urban travel attitudes and behavior of Tbilisi residents, Transport Policy. DOI: http://dx.doi.org/10.1016/j.tranpol.2010.05.006, 18(1): 38-45.
Guilford, J.P. 1956. Fundamental Statistics in Psychology and Education (3rd ed.). New York: McGraw Hill. 145 p.
Hensher, D.A.; Rose, J.M.; Greene, W.H. 2005. Applied Choice Analysis: A Primer. New York: Cambridge University Press. 63, 337 p.
Hoetker, G. 2007. The use of logit and probit models in strategic management research: critical issues, Strategic Management Journal. DOI: http://dx.doi.org/10.1002/smj.582, 28(4): 331-343.
Horowitz, J.L.; Koppelman, F.S; Lerman, S.R. 1986. A Self Instructing Course In Disaggregate Mode Choice Modelling. Washington D.C.: U.S. Department of Transportation. 121 p.
Karno, A.; Radam, I.F.; Akpinar, M.V.; Örnek, M. 2004. Analysis of Intercity Transport Mode Choice from Banjarmasin City; Dissagregate Logit Model, Journal of Faculty of Engineering and Architecture-ÇUKUROVA University. DOI: http://dx.doi.org/10.6084/m9.figshare.1142108, 19(2): 59-68.
Kroes, E.P.; Sheldom, R.J. 1988. Stated Preference Method: An Introduction, Journal of Transport Economics and Policy, 22(1): 11-25.
Ortúzar, J.D.; Willumsen, L.G. 1994. Modelling Transport (2nd ed.). Chichester, England: John Wiley & Sons Ltd. 188, 208, 211 p.
Paulley, N.; Balcombe, R.; Mackett, R.; Titheridge, H.; Preston, J.M.; Wardman, M.R.; Shires, J.D.; White, P. 2006. The Demand for Public Transport: The effects of Fares, Quality of Service, Income and Car Ownership, Transport Policy. DOI: http://dx.doi.org/10.1016/j.tranpol.2005.12.004, 13(4): 295-306.
Radam, I.F. 2010. Influence of Service Factor in Mode Choice Between River Moda and Land Moda in Banjarmasin, Jurnal Dinamika Teknik Sipil, 10(1): 34-40.
Radam, I.F.; Kartadipura, R.H.; Yuliana, C. 2014. Passengers’ Perception of Service Quality of Intercity Public Transport: A Banjarmasin Case Study, IOSR Journal of Mechanical and Civil Engineering. DOI: http://dx.doi.org/ 10.9790/1684-11651116, 11(6): 11-16.
Rigas, K. 2009. Boat or Airplane? Passengers’ Perceptions of Transport Services to Islands. The Example of the Greek Domestic Leisure Market, Journal of Transport Geography. DOI: http://dx.doi.org/10.1016/j.jtrangeo.2008.07.005, 17(5): 396-401.
Sheffi, Y. 1992. Urban Transportation Network: Equilibrium Analysis with Mathematical Programming Method. Englewood Cliffs, NJ: Prentice Hall Inc. 262 p.
Quoted IJTTE Works
There is no quoted studies.
Related Keywords