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Performance classification of Tunisian public transport operators

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Abstract

Improving public transport performance can encourage motorists to change their attitude and behavior. This improvement should bring the quality of service and attractiveness of public transport to counterbalance the benefits of the private car and to increase the total number of passengers. In this paper, the performance analysis is conducted in three main stages. The first step in this process is continuously introduced to adjust the sets of indicators and to measure the performance of public transport operators. The indicators selected are related to efficiency, economic and financial efficiency, pertinence and quality of service. With these indicators, managers can quickly identify the performance and implement effective and efficient public transport systems in Tunisian cities. Regarding the second step, we assessed the performance of public transport operators in Tunisia. The multi-criteria evidential reasoning provides the public transport authority with tools to control operators at all levels, to improve the performance of the public transport system and in this case all public transport operators can know their positions in relation to existing local companies. The third step is the development of performance risk management plans. To achieve this goal, we have developed an approach that allows predicting the possible evolution of the performance situation and classifying the progress made in the public transport sector year by year. The results obtained show that the public transport in Tunisia is not attractive. The overall figures of economic and financial efficiency reveal a relatively low performance and the vast majority of cities have a defective public transport network.

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References

  • Alonso A, Monzón A, Cascajo R (2014) Comparative analysis of passenger transport sustainability in European cities. Ecol Ind 48:578–592

    Article  Google Scholar 

  • Altieri M, Silva C, Terabe S (2020) Give public transit a chance: a comparative analysis of competitive travel. J Transp Geogr 87:102817

    Article  Google Scholar 

  • Arcier B (2014) Measuring the performance of urban public transport in relation to public policy objectives. Res Transp Econ 48:67–76

    Article  Google Scholar 

  • Ayadi A, Hammami S (2013) The evaluation of the effectiveness and efficiency of the public transport system in Tunisia: application of data envelopment analysis. International Conference on Advanced Logistics and Transport (ICALT): Sousse, Tunisia. pp 245–250, https://doi.org/10.1109/ICAdLT.2013.6568467

  • Ayadi A, Hammami S (2015) An analysis of the performance of public bus transport in Tunisian cities. Transp Res Part A 75:51–60

    Google Scholar 

  • Bouhamed N, Carnis L (2020) Enjeux et défis de la sécurité routière en Tunisie. RTS- Recherche Transports Sécurité, IFSTTAR, 16p. https://doi.org/10.25578/RTS_ISSN1951-6614_2020-09. hal03002786

  • Boujelbene Y, Derbel A (2015) The performance analysis of public transport operators in Tunisia using AHP method. The International Conference on Advanced Wireless, Information, and Communication Technologies (AWICT 2015). Procedia Comput Sci 73:498–508

    Article  Google Scholar 

  • Boujelbene Y, Derbel A (2016) The performance analysis of public transport operators in Tunisia using ER approach. Global J Manage Bus Res 16(1):17

    Google Scholar 

  • Bouzid I, Derbel A, Elleuch B (2020) Factors responsible for road traffic noise annoyance in the city of Sfax. Tunisia Appl Acoustics 168:107412

    Article  Google Scholar 

  • Celik E, Bilisik O, Erdogan M, Gumus A, Baracli H (2013) An integrated novel interval type-2 fuzzy MCDM method to improve customer satisfaction in public transportation for Istanbul. Transp Res Part E 58:28–51

    Article  Google Scholar 

  • Daldoul M, Jarboui S, Dakhlaoui A (2016) Public transport demand: dynamic panel model analysis. Transportation 43(3):491–505

    Article  Google Scholar 

  • De Oña J, Estévez E, De Oña R (2021) Public transport users versus private vehicle users: Differences about quality of service, satisfaction and attitudes toward public transport in Madrid (Spain). Travel Behav Soc 23:76–85

    Article  Google Scholar 

  • Dehe B, Bamford D (2015) Development, test and comparison of two Multiple Criteria Decision Analysis (MCDA) models: a case of healthcare infrastructure location. Expert Syst Appl 42:6717–6727

    Article  Google Scholar 

  • Derbel A, Boujelbene Y (2019) Automatic classification and analysis of multiple-criteria decision making. Proceedings of the 8th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT’18), 1:83–93

  • Derbel A, Boujelbene Y (2018) Road congestion analysis in the agglomeration of Sfax using a Bayesian model. Ubiquitous networking, UNet 2018. Lect Notes Comput Sci 11277:131–142

    Article  Google Scholar 

  • Derbel A, Boujelbene Y (2020) Using dynamic Bayesian networks to solve road traffic congestion in the Sfax City. Distributed computing for emerging smart networks, DiCES-N 2019. Commun Comput Inf Sci 1130:121–132

    Google Scholar 

  • Dev M, Biswas A (2020) Studying operational dynamics of public bus system: a case of Lucknow City, India. Transport Res Procedia 48:3211–3222

    Article  Google Scholar 

  • Di Z, Yan X, Zhang J, Yang Z, Wang J (2016) Use of fuzzy rule-based evidential reasoning approach in the navigational risk assessment of inland waterway transportation systems. Saf Sci 82:352–360

    Article  Google Scholar 

  • Eboli L, Mazzulla G (2011) A methodology for evaluating transit service quality based on subjective and objective measures from the passenger’s point of view. Transp Policy 18(1):172–181

    Article  Google Scholar 

  • Eboli L, Mazzulla G (2012) Performance indicators for an objective measure of public transport service quality. Eur Transp 51:1–21

    Google Scholar 

  • Ebrahimi S, Bridgelall R (2021) A fuzzy Delphi analytic hierarchy model to rank factors influencing public transit. Res Transp Bus Manag 39:100496

    Article  Google Scholar 

  • Fielding G, Babitsky T, Brenne ME (1985) Performance evaluation for bus transit. Transp Res Part A 19:73–82

    Article  Google Scholar 

  • Fu L, Xin Y (2007) A new performance index for evaluating transit quality of service. J Public Transp 10(3):47–69

    Article  Google Scholar 

  • Gudmundsson H, Sørensen C (2013) Some use—Little influence? On the roles of indicators in European sustainable transport policy. Ecol Ind 35:43–51

    Article  Google Scholar 

  • Hawas Y, Hassan M, Abulibdeh A (2016) A multi-criteria approach of assessing public transport accessibility at a strategic level. J Transp Geogr 57:19–34

    Article  Google Scholar 

  • Jakimavičius M, Burinskienė M, Gusarovienė M, Podviezko A (2016) Assessing multiple criteria for rapid bus routes in the public transport system in Vilnius. Public Transport 8:365–385. https://doi.org/10.1007/s12469-016-0146-7

    Article  Google Scholar 

  • Jarboui S, Forget P, Boujelbene Y (2014) Transport firms’ inefficiency and managerial optimism: a stochastic frontier analysis. J Behav Exp Financ 3:41–51

    Article  Google Scholar 

  • Jato-Espino D, Castillo-Lopez E, Rodriguez-Hernandez J, Canteras-Jordana J-C (2014) A review of application of multi-criteria decision making methods in construction. Autom Constr 45:151–162

    Article  Google Scholar 

  • Macharis C, Bernardini A (2015) Reviewing the use of Multi-Criteria Decision Analysis for the evaluation of transport projects: time for a multi-actor approach. Transp Policy 37:177–186

    Article  Google Scholar 

  • Mokhtari K, Ren J, Roberts C, Wang J (2012) Decision support framework for risk management on sea ports and terminals using fuzzy set theory and evidential reasoning approach. Expert Syst Appl 39:5087–5103

    Article  Google Scholar 

  • Mraihi R, Harizi R, Mraihi T, Bouzidi MT (2015) Urban air pollution and urban daily mobility in large Tunisia’s cities. Renew Sustain Energy Rev 43:315–320

    Article  Google Scholar 

  • Mraihi R, Harizi, R and Alaouia S (2013) Sustainable transport in Tunisia: an analysis of the environmental Kuznets curve. International Conference on Advanced Logistics and Transport (ICAdLT): Sousse, Tunisia. pp 35–40

  • Mugion RG, Toni M, Raharjo H, Di Pietro L, Sebathu SP (2018) Does the service quality of urban public transport enhance sustainable mobility? J Clean Prod 174:1566–1587

    Article  Google Scholar 

  • Naim MNH, Adnan MSG, Dewan A, Zannat KE (2022) Assessing the performance of public transport services in a developing country: a case study using data envelopment analysis. Growth Chang 53:377–409

    Article  Google Scholar 

  • Ng CY (2016) An evidential reasoning-based AHP approach for the selection of environmentally friendly designs. Environ Impact Assess Rev 61:1–7

    Article  Google Scholar 

  • Ngan S-C (2015) Evidential Reasoning approach for multiple-criteria decision making: a simulation-based formulation. Expert Syst Appl 42(2):4381–4396

    Article  Google Scholar 

  • Nosal K, Solecka K (2014) Application of AHP method for multi-criteria evaluation of variants of the integration of urban public transport. Transport Res Procedia 3:269–278

    Article  Google Scholar 

  • Öztürk F (2021) A hybrid Type-2 fuzzy performance evaluation model for public transport services. Arab J Sci Eng 46:10261–10279

    Article  Google Scholar 

  • Saaty TL (1980) The analytic hierarchy process: planning, priority setting, resource allocation. McGraw-Hill, New York

    Google Scholar 

  • Santos A, Ribeiro S (2013) The use of sustainability indicators in urban passenger transport during the decision-making process: the case of Rio de Janeiro. Braz Curr Opin Environ Sustain 5(2):251–260

    Article  Google Scholar 

  • Scott DW (2010) Scott’s rule. Wiley Interdisciplin Rev 2(4):497–502. https://doi.org/10.1002/wics.103

    Article  Google Scholar 

  • Vaidya O (2014) Evaluating the performance of public urban transportation systems in India. J Public Transp 17(4):174–191

    Article  Google Scholar 

  • Yang J-B (2001) Rule and utility based evidential reasoning approach for multiattribute decision. Eur J Oper Res 131(1):31–61

    Article  Google Scholar 

  • Zhang C, Juan Z, Luo Q, Xiao G (2016) Performance evaluation of public transit systems using a combined evaluation method. Transp Policy 45:156–167

    Article  Google Scholar 

  • Zhang M-J, Wang Y-M, Li LH, Chen S-Q (2017) A general evidential reasoning algorithm for multi-attribute decision analysis under interval uncertainty. Eur J Oper Res 257(3):1005–1015

    Article  Google Scholar 

Download references

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Correspondence to Ahmed Derbel.

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Derbel, A., Boujelbene, Y. Performance classification of Tunisian public transport operators. Public Transp 15, 535–574 (2023). https://doi.org/10.1007/s12469-023-00321-y

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