The goal of IJTTE is to broaden the knowledge of traffic and transport experts and academicians by promoting free access and provide valuable insight to transport related information, research and ideas. IJTTE will serve as a great resource for researchers and students across the globe.
Volume List  / Volume 11 (1)

Article

ANALYTIC HIERARCHY PROCESS IN THE FUNCTION OF EVALUATION OF TRANSPORT SERVICE QUALITY IN BUS COMPANY

DOI: 10.7708/ijtte.2021.11(1).01


11 / 1 / 1 - 16 Pages

Author(s)

Tomislav Bubalo - Faculty of Transport and Traffic Sciences, University of Zagreb, Croatia -

Marijan Rajsman - Faculty of Transport and Traffic Sciences, University of Zagreb, Croatia -

Pero Škorput - Faculty of Transport and Traffic Sciences, University of Zagreb, Croatia -


Abstract

Evaluating the competitiveness of bus operators is an important way of promoting the efficiency of transport and quality of transport services. Such evaluation is the scientific basis for decision-making related to the choice of transport company's development strategy in accordance with vision and set goals. The problem thus posed is the subject of research aimed at assessing the significance of some of the factors that depend on the competitiveness of business operations of bus operators. The problem is how to properly assess the importance of these factors, ie how to prioritize decisions that can lead to the choice of the best alternative for assessing the quality of transport services and improving the competitiveness of bus operators. The aim of the research is to present the possibility of applying multi-criteria analysis to the quality of transport services for the purpose of improving the business level of bus operators. The paper provides a formal definition of Analytic Hierarchy Process (AHP) multi-criteria analysis. The discovery of this study is finding effective ways to measure the quality of transport services so that companies could gain a competitive advantage in the market of transport services. The advantage and recommendation of the research results obtained in this way can also be used as input to another project or feasibility study, in which a much more complex decision must be made.


Download Article

Number of downloads: 555

Keywords:
Analytic Hierarchy Process (AHP); bus transport system; quality of transport service; evaluation; competitiveness;


References:

Aleksi, I.; Hocenski, Z. 2009. Application of Expert Choice Tool and AHP- Elaborate. Faculty of Electrical Engineering, University in Osijek, Croatia. 12 p.

 

Barbino, B.; Deiana, E.; Tilocca, P. 2012. Measuring service quality in urban bus transport: a modified SERVQUAL approach, International Journal of Quality and Service Sciences 4(3): 238-252.

 

Božanić, D.; Pamučar, D.; Bojanić, D. 2015. Modification of the analytic hierarchy processes (AHP) method using fuzzy logic: Fuzzy AHP approach as a support to the decision making process concerning engagement of the group for additional hindering, Serbian Journal of Management 10(2): 151-171.

 

Bubalo, T.; Vojvodić, H.; Bokulić, D. 2015. The exchange of data in the intercity bus traffic. In Proceedings of the 23rd Telecommunications Forum, TELFOR, Belgrade, Serbia.

 

Bubalo, T.; Jurčević, M.; Steiner, S. 2017. Analysis and Strategic Planning of Bus Passenger Transport with Reference to the Status of Croatia. In Proceedings of the 25th International Symposium on Electronics in Transport ISEP, Ljubljana, Slovenia. ISBN:978-961-6187-67-1.

 

Buble, M. 1997. Strategic Management. Scientific book, Faculty of Economics, University in Split, Croatia. 13-18 p.

 

Chatterjee, K.; Pamučar, D.; Zavadskas, E. 2018. Evaluating the performance of suppliers based on using the R’AMATEL-MAIRCA method for green supply chain implementation in electronics industry, Journal of Cleaner Production 184(1): 101-129.

 

Dell'Olio, L.; Ibeas, A.; Cecin, P. 2010. Modelling user perception of bus transit quality, Transport Policy 17(6): 388-397.

 

Dimitrijević, B. 2017. Multi Decision Making in Traffic and Transportation. Scientific book, Faculty of Traffic and Transportation Engineering, University in Belgrade, Serbia. 25-27 p.

 

Guner, S. 2018. Measuring the quality of public transportation systems and ranking the bus transit routes using multi-criteria decision making techniques, Case Studies on Transport Policy 6(2): 214-224.

 

Hensher, D.: Stopher, P.; Bullock, P. 2001. Developing a service quality index (SQI) in the provision of commercial bus contracts, Journal of Public Transportation 3(1): 52-65.

 

Hensher, D.; Mulley, C.; Yahya, N. 2010. Passenger experience with quality bus service: the tyne and wear “superoute“ services, Transportation 37(2): 239-256.

 

Jurčević, M.; Bubalo, T.; Mandžuka, B. 2018. Influence of Costs on the Optimization of Transport Routes (Case Study)-Passenger Transportation Company from Zagreb, Journal Econviews 31(1): 65-73.

 

Kovačić, B. 2004. Multiple Decision Making in Traffic. Master's Degree paper work, Faculty of Transportation and Traffic Sciences, University in Zagreb, Croatia. 23 p.

 

Lazibat, T. 2009. Quality Management. Scientific book, University in Zagreb, Croatia. 11-16 p.

 

Maha, A.; Bobalca, C.; Tugulea, O. 2014. Strategies for the Improvements in the Quality and Efficiency of Public Transportation, Procedia Economics and Finance 15(1): 877-885.

 

Miller, G.K.; Kirby, R.F. 1984. A structured approach to monitoring and evaluating public transportation services, Transportation Quarterly 38(1): 23-46.

 

Nassereddine, M.; Eskandari, H. 2017. An integrated MCDM approach to evaluate public transportation systems in Tehran, Transportation Research Part A: Policy and Practice 106: 427-439.

 

Ona, J.; Ona, R.; Eboli, L.; Mazzulla, G. 2013. Perceived service quality in bus transit service: a structural equation approach, Transport Policy 29(1): 219-226.

 

Pamučar, D.; Stević, Ž.; Zavadskas, E. 2018. Integration of interval rough AHP and interval rough MABAC methods for evaluating university web pages, Applied Soft Computing 67(2): 141-163.

 

Pamučar, D.; Ćirović, G.; Sekulović, D. 2018. Development of an integrated transport system in distribution centres: a FA'WOT analysis, Technical Gazzete 22(3): 649-658.

 

Petrović, I.; Kankaraš, M. 2018. DEMATEL-AHP multi-criteria decision making model for the selection and evaluation of criteria for selecting an aircraft for the protection of air traffic, Decision Making: Applications in Management and Engineering 1(2): 93-110.

 

Popović, M.; Kuzmanović, M.; Savić, G. 2018. A comparative empirical study of Analytic Hierarchy Process and Conjoint analysis: Literature review, Decision Making: Applications in Management and Engineering 1(2): 153-163.

 

Rajsman, M. 2017. Technology of Passengers Transportation in Road Traffic. Scientific book, Faculty of Transportation and Traffic Sciences, University in Zagreb, Croatia. 31 p.

 

Talley, W.K.; Becker, A.J. 1982. A single measure for evaluating public transit systems, Transportation Quarterly 36(3): 423-431.

 

UITP. 2018. International Association of Public Transport UITP. Available from Internet: http://www.uitp.org/. [Accessed: May 2018].

 

Zopounidis, C.; Doumpos, M. 2002. Multi-criteria Decision Aid in Financial Decision Making: Methodologies and Literature Review, Journal Multi-Crit. Decis. Anal. 11(1): 167–186.

 

Županović, I. 1986. Road Traffic Technology. Scientific book, Faculty of Transportation and Traffic Sciences, University in Zagreb, Croatia. 6-9 p.


Quoted IJTTE Works

There is no quoted studies.



Related Keywords

COMPREHENSIVE URBAN ROAD TOLL EVALUATION SYSTEM

AIDS TO NAVIGATION SYSTEMS ON INLAND WATERWAYS AS AN ELEMENT OF COMPETITIVENESS IN ULCV TRAFFIC