Commuters’ satisfaction with service quality of Airlift and Swvl bus services in Lahore
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Abstract
The Airlift and Swvl App-based demand-responsive bus services were initiated in Lahore to fill the demand of available travelers. These services provide travel options at designated routes and stops. The commuters can book their ride using mobile applications mentioning their pick-up and drop-off locations on a particular route. Commuters’ satisfaction with service quality is important to make these services successful in the long run. Therefore, this study aims to evaluate the commuters’ satisfaction with the quality of service of both bus services using the results of a questionnaire survey. The questionnaire was designed consisting of personal and travel information of the respondents, and perceptions related to satisfaction with selected attributes of service quality. This survey was conducted in Lahore city, and 200 and 284 samples were obtained for Airlift and Swvl bus services, respectively. Factor analyses were conducted on collected data and the structural model of users’ satisfaction was constructed. The factors of Airlift bus service included service and system attributes (SSA), instrumental attributes (IA), safety and attractive attributes (SAA) and spatial and temporal coverage attributes (SCTA) and of Swvl bus service included spatial coverage and safety attributes (SCSA), instrumental attributes (IA), system Attributes (SA) and attractive attributes (AA). The results of structural equation modeling revealed that the service, system, instrumental, safety, and attractive attributes, and spatial and temporal dimensions are significant determinants of commuters’ satisfaction with the service quality of transit modes. The users’ overall satisfaction with service quality also has a positive influence on commuters’ intentions to continue the use of these services. The improvements in specific attributes would enhance commuters’ satisfaction as well as their intentions to use Airlift and Swvl bus services.
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References
Githui JN, Okamura T, Nakamura F. The structure of users’ Satisfaction on Urban public transport service in developing country: the case of Nairobi. J East Asia Soc Transp Stud. 2010;8:1288-300.
Rayle L, Dai D, Chan N, Cervero R, Shaheen S. Just a better taxi? a survey-based comparison of taxis, transit, and ridesourcing services in San Francisco. Transport Pol. 2016;45:168-78.
Kamaruddin R, Osman I, Pei ACA. Public transport services in Klang Valley: Customer expectations and its relationship using SEM. Procedia Soc Behav Sci. 2012;36:431-8.
Jin G, Rhaleb HE, Roger JP, Boccara AC, Stehle JL. Spectroscopic ellipsometry under external excitation. Thin Solid Films. 1993;234(1-2):375-9.
Hashim A. Uber’s upstart rival in Pakistan uses rickshaws, low-tech phones [Internet]. 2016 [cited 2016 June 20]. Available form: https://www.reuters.com/article/us-pakistan-transport-apps/ubers-upstart-rival-in-pakistan-uses-rickshaws-low-tech-phones-idUSKCN0Z50XW.
Tahir MN, Haworth N, King M, Washington S, Akbar AH. PW 0962 Motorcycle rickshaws in pakistan: road safety and transport policy implications. Inj Prev. 2018;24(Suppl2):A63.3-64.
Wanda. Swvl expands further into Pakistan [Internet]. 2019 [cited 2019 Sep 15]. Available form: https://www.wamda.com/2019/09/swvl-expands-pakistan.
Paracha ZN. Exclusive: Pakistan’s Airlift raises $2.2 million seed for its app-based bus service, eyes expansion to Kenya and Bangladesh [Internet]. 2019 [cited 2019 Sep 15]. Available form https://www.menabytes.com/airlift-2-2-million/.
Abdullah MF, Hilmi HN. Service quality as determinant of customer loyalty. Int J Bus Innov Res. 2014;1(6):1-11.
Redman L, Friman M, Garling T, Hartig T. Quality attributes of public transport that attract car users: a research review. Transport Pol. 2013;25:119-27.
Eboli L, Mazzulla G. A methodology for evaluating transit service quality based on subjective and objective measures from the passenger’s point of view. Transport Pol. 2011;18(1):172-81.
Borhan MN, Syamsunur D, Akhir NM, Yazid MR Mat, Ismail AB, Rahmat RA. Predicting the use of public transportation: A case study from Putrajaya, Malaysia. Sci World J. 2014:1-9.
Cats O, Abenoza RF, Liu C, Susilo YO. Evolution of satisfaction with public transport and its determinants in Sweden identifying priority areas. Transport Res Rec. 2015;2538(1):86-96.
Andreassen TW. (Dis) Satisfaction with public services: the case of public transportation. J. Serv. Mark. 1995;9(5):30-41.
Ona J De, Ona R De, Eboli L, Mazzulla G. Perceived service quality in bus transit service: a structural equation approach. Transport Pol. 2013;29:219-26.
Eboli L, Mazzulla G. Service quality attributes affecting customer satisfaction for bus transit. J Public Transport. 2007;10(3):21-34.
Tyrinopoulos Y, Antoniou C. Public transit user satisfaction: variability and policy implications. Transport Pol. 2008;15(4):260-72.
Karlaftis M, Golias J, Papadimitriou E. Transit quality as an integrated traffic management strategy: measuring perceived service. J Public Transport. 2001;4(1):27-44.
Fellesson M, Friman M. Perceived satisfaction with public transport service in nine European cities. J Transport Res Forum. 2012;47(3):92-103.
Lau JCY, Chiu CCH. Accessibility of low-Income workers in Hong Kong. Cities. 2003;20(3):197-204.
Grujicic D, Ivanovic I, Jovic J, Doric V. Customer perception of service quality in public transport. Transport. 2014;29(3):285-95.
Chen CF. Investigating structural relationships between service quality, perceived value, satisfaction, and behavioral intentions for air passengers: evidence from Taiwan. Transport Res Pol Pract. 2008;42(4):709-17.
Disney J. Competing through quality in transport services. Manag Serv Qual. 1998;8(2):112-8.
Edvardsson B. Causes of customer dissatisfaction ‐ studies of public transport by the critical‐incident method. Manag Serv Qual Int J. 1998;8(3):189-97.
Bielen F, Demoulin N. Waiting time influence on the satisfaction-loyalty relationship in services. Manag Serv Qual. 2007;17(2):174-93.
Noor HM, Nasrudin N, Foo J. Determinants of customer satisfaction of service quality: city bus service in Kota Kinabalu, Malaysia. Procedia Soc Behav Sci. 2014;153:595-605.
Javid MA, Okamura T, Nakamura F. Public satisfaction with service quality of Daewoo Urban bus service in Lahore. J East Asia Soc Transport Stud. 2015;11:1097-108.
Stuart KR, Mednick M, Bockman J. Structural equation model of customer satisfaction for the New York City subway system. Transport Res Rec. 2000;1735(1):133-7.
Manuel SP, Juan CGA, Gema MMC, Raquel SF. Effects of service quality dimensions on behavioural purchase intentions: A study in public‐sector transport. J Serv Theor Pract. 2007;17(2):134-51.
Shaaban K, Khalil RF. Investigating the customer satisfaction of the bus service in Qatar. Procedia - Soc Behav Sci. 2013;104(1):865-74.
Murambi DN, Bwisa HM. Service quality and customer satisfaction in public transport sector of kenya: a survey of shuttle travelers in kitale terminus. Int J Acad Res Bus Soc Sci. 2014;4(9):402-12.
Nwachukwu AA. Assessment of passenger satisfaction with intra-city public bus transport services in Abuja, Nigeria. J Public Transport. 2014;17(1):99-119.
Simsekoglu O, Nordfjaern T, Rundmo T. The role of attitudes, transport priorities, and car use habit for travel mode use and intentions to use public transportation in urban Norwegian public. Transport Pol. 2015;42:113-20.
Ponrahono Z, Bachok S, Ibrahim M, Osman MM. Assessing passengers’ satisfaction level on bus services in selected urban and rural centres of peninsular Malaysia. Procedia - Soc Behav Sci. 2016;222:837-44.
Mahmoud M, Hine J. Measuring the influence of bus service quality on the perception of users. Transport Plan Tech. 2016;39(3):284-99.
Javid MA, Abdullah S, Hashmi AI, Akbar MU, Ghazanfar-Ullah M. Passengers’ attitudes and preference towards metro-bus service in Lahore. J Urban Environ Eng. 2018;12(2):201-9.
Boomsma A, Hoogland JJ. The robustness of LISREL modeling revisited. In: Cudeck R, Toit SD, Sorbom D, editors. Structural equation models: Present and future. USA: Scientific Software International; 2001. p. 139-68.
Kline RB. Principles and practice of structural equation modeling (Methodology in the social sciences). 2nd ed. New York: The Guilford Press; 2005.
Schreiber JB, Stage FK, King J, Nora A, Barlow EA. Reporting structural equation modeling and confirmatory factor analysis results: a review. J Educ Res. 2006;99(6):323-38.
Bentler PM, Chou CP. Practical issues in structural modeling. Soc Meth Res. 1987;16(1):78-117.
Golob TF. Joint models of attitudes and behavior in evaluation of the San Diego I-15 congestion pricing project. Transport Res Pol Pract. 2001;35(6):495-514.
Raykov T, Marcoulides GA. A first course in structural equation modeling. 2nd ed. New Jersey: Erlbaum; 2000.
Yong AG, Pearce S. A beginner’s guide to factor analysis: focusing on exploratory factor analysis. Tutorials Quant Meth Psychol. 2013;9(2):79-94.
Hooper D, Coughlan J, Mullen MR. Structural equation modelling: guidelines for determining model fit. Electron J Bus Res Meth. 2008;6(1):53-60.
Schermelleh-Engel K, Moosbrugger H, Muller H. Evaluating the fit of structural equation models: tests of significance and descriptive goodness-of-fit measures. Meth Psychol Res. 2003;8(8):23-74.
Bentler PM, Bonett DG. Significance tests and goodness of fit in the analysis of covariance structures. Psychol Bull. 1980;88(3):588-606.
Hu LT, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. Struct Equ Model. 1999;6(1):1-55.
Samuels P. Advice on Exploratory Factor Analysis. Birmingham City Univ. 2017:1-7.
Peterson RA. A meta-analysis of variance accounted for and factor loadings in exploratory factor analysis. Mark Lett. 2000;11(3):261-75.
Streiner DL. Figuring out factors: The use and misuse of factor analysis. Can J Psychiatr. 1994;39(3):135-40.
Hair JF, Ringle CM, Sarstedt M. Partial least squares: the better approach to structural equation modeling?. Long Range Planning. 2012;45(5-6):312-9.
Taber KS. The use of Cronbach’s alpha when developing and reporting research instruments in science education. Res Sci Educ. 2017;48(1):1-24.
Hinton PR. McMurray I, SPSS Explained. 2nd ed. London, New York: Routledge, 2014.
Field AP. Discovering statistics using SPSS : (and sex and drugs and rock “n” roll), 3rd ed. Los Angeles: SAGE; 2009.