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Investigating the effects of platform and mobility on mobility as a service (MaaS) users’ service experience and behavioral intention: empirical evidence from MeNGo, Kaohsiung

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Abstract

Different from most existing studies in the literature, this study proposes and empirically examines an integrated model to understand user experience and behavior based on actual experiences with a real-world MaaS platform. Specifically, the relationships among perceived service features (i.e. platform and mobility services), perceived value, satisfaction, and behavioral intention of existing MaaS users were examined using a survey sample of 363 existing MaaS users in Taiwan. Results reveal that the most important variable explaining intention to use MaaS is mobility benefits derived from using MaaS, more so than cost/economic benefits, access to greater information, and ease of transaction. MaaS operators need to prioritize service features that offer access to newer modes, more frequent services, covering greater network areas. While other measures such as discounted pricing, provision of dynamic and real-time information, integrated ticketing and payment are valuable, they are unlikely to prove popular with consumers unless the MaaS service can offer a substantial benefit in terms of access to new and expanded transport services. Implications and recommendations for future research are also discussed.

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References

  • Alyavina, E., Nikitas, A., & Njoya, E. T. (2020). Mobility as a service and sustainable travel behaviour: A thematic analysis study. Transportation Research Part F: Traffic psychology and behaviour, 73, 362–381.

  • Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411.

  • Chen, C. F., & Huang, C. Y. (2021). Investigating the effects of a shared bike for tourism use on the tourist experience and its consequences. Current Issues in Tourism, 24(1), 134–148.

  • Chen, C. F., Chen, Y. X., Mu, P. J., & Yu, Y. H. (2021). Beyond adoption of shared bike: A case study on antecedents and consequences of brand attachment in Taiwan. Research in Transportation Business & Management, 40, 100574.

  • Cheng, Y. H., & Chen, S. Y. (2015). Perceived accessibility, mobility, and connectivity of public transportation systems. Transportation Research Part A: Policy and Practice, 77, 386–403.

  • Chang, Y. W., & Polonsky, M. J. (2012). The influence of multiple types of service convenience on behavioral intentions: The mediating role of consumer satisfaction in a Taiwanese leisure setting. International Journal of Hospitality Management, 31(1), 107–118.

  • Cronin Jr, J. J., Brady, M. K., & Hult, G. T. M. (2000). Assessing the effects of quality, value, and customer satisfaction on consumer behavioral intentions in service environments. Journal of Retailing, 76(2), 193–218.

  • De Oña, J., de Oña, R., Eboli, L., & Mazzulla, G. (2013). Perceived service quality in bus transit service: a structural equation approach. Transport Policy, 29, 219–226.

  • De Oña, J., & De Oña, R. (2015). Quality of service in public transport based on customer satisfaction surveys: A review and assessment of methodological approaches. Transportation Science, 49(3), 605–622.

  • Duarte, P., e Silva, S. C., & Ferreira, M. B. (2018). How convenient is it? Delivering online shopping convenience to enhance customer satisfaction and encourage e-WOM. Journal of Retailing and Consumer Services, 44, 161–169.

  • Deci, E. 8: Ryan, RM (1985). Intrinsic motivation and self-determination in human behaviour. New York, PlenumPress.

  • El-Haddadeh, R., Weerakkody, V., Osmani, M., Thakker, D., & Kapoor, K. K. (2019). Examining citizens’ perceived value of internet of things technologies in facilitating public sector services engagement. Government Information Quarterly, 36(2), 310–320.

  • Esztergár-Kiss, D., & Kerényi, T. (2020). Creation of mobility packages based on the MaaS concept. Travel Behaviour and Society, 21, 307–317.

  • Ettema, D., & Timmermans, H. (2006). Costs of travel time uncertainty and benefits of travel time information: conceptual model and numerical examples. Transportation Research Part C: Emerging Technologies, 14(5), 335–350.

  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 39–50.

  • Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.

  • Fu, X., & Juan, Z. (2017). Exploring the psychosocial factors associated with public transportation usage and examining the “gendered” difference. Transportation Research Part A: Policy and Practice, 103, 70–82.

  • Hair, J. F., Anderson, R. E., Babin, B. J., & Black, W. C. (2010). Multivariate data analysis: A global perspective (Vol. 7): Pearson Upper Saddle River, NJ.

  • Han, Y., Li, W., Wei, S., & Zhang, T. (2018). Research on passenger’s travel mode choice behavior waiting at bus station based on sem-logit integration model. Sustainability, 10(6), 1996.

  • Hartikainen, A., Pitkänen, J. P., Riihelä, A., Räsänen, J., Sacs, I., Sirkiä, A., & Uteng, A. (2019). WHIMPACT: Insights from the world’s first Mobility-as-a-Service (MaaS) system. Helsinki: Rambøll Consulting

  • Heikkila, S. (2014). Mobility as a service-a proposal for action for the public administration, case helsinki.

  • Hensher, D. A. (2017). Future bus transport contracts under a mobility as a service (MaaS) regime in the digital age: Are they likely to change?. Transportation Research Part A: Policy and Practice, 98, 86–96.

  • Hensher, D. A., Ho, C. Q., & Reck, D. J. (2021). Mobility as a service and private car use: Evidence from the Sydney MaaS trial. Transportation Research Part A: Policy and Practice, 145, 17–33.

  • Ho, C.Q., Hensher, D.A., Mulley, C., Wong, Y.Z., (2018). Potential uptake and willingness-to-pay for Mobility as a Service (MaaS): A stated choice study. Transportation Research Part A: Policy and Practice, 117, 302–318.

  • Ho, C. Q., Mulley, C., Hensher, D. A., (2020). Public preferences for mobility as a service: Insights from stated preference surveys. Transportation Research Part A: Policy and Practice, 131, 70–90.

  • Ho, C. Q., Hensher, D. A., & Reck, D. J. (2021). Drivers of participant’s choices of monthly mobility bundles: Key behavioural findings from the Sydney Mobility as a Service (MaaS) trial. Transportation Research Part C: Emerging Technologies, 124, 102932.

  • Ho, C. Q., Hensher, D. A., Reck, D. J., Lorimer, S., & Lu, I. (2021). MaaS bundle design and implementation: Lessons from the Sydney MaaS trial. Transportation Research Part A: Policy and Practice, 149, 339–376.

  • Huang, C. D., Goo, J., Nam, K., & Yoo, C. W. (2017). Smart tourism technologies in travel planning: The role of exploration and exploitation. Information & Management, 54(6), 757–770.

  • Jen, W., Tu, R., & Lu, T. (2011). Managing passenger behavioral intention: an integrated framework for service quality, satisfaction, perceived value, and switching barriers. Transportation, 38(2), 321–342.

  • Jeong, M., & Shin, H. H. (2020). Tourists’ experiences with smart tourism technology at smart destinations and their behavior intentions. Journal of Travel Research, 59(8), 1464–1477.

  • Jittrapirom, P., Marchau, V., van der Heijden, R., & Meurs, H. (2020). Future implementation of Mobility as a Service (MaaS): Results of an international Delphi study. Travel Behaviour and Society, 21, 281–294.

  • Kamargianni, M., & Matyas, M. (2017). The business ecosystem of mobility-as-a-service. In Transportation Research Roard (Vol. 96). Transportation Research Board.

  • Kamargianni, M., Li, W., Matyas, M., & Schafer, A. (2016). A critical review of new mobility services for urban transport. Transportation Research Procedia, 14, 3294–3303.

  • Kamargianni, M., Matyas, M., Li, W., & Schafer, A. (2015). Feasibility Study for “Mobility as a Service” concept in London. UCL Energy Institute.

  • Kang, A. S., Jayaraman, K., Soh, K. L., & Wong, W. P. (2019). Convenience, flexible service, and commute impedance as the predictors of drivers’ intention to switch and behavioral readiness to use public transport. Transportation Research Part F: Traffic Psychology and Behaviour, 62, 505–519.

  • Lai, W. T., & Chen, C. F. (2011). Behavioral intentions of public transit passengers—The roles of service quality, perceived value, satisfaction and involvement. Transport policy, 18(2), 318–325.

  • Lattman, K., Olsson, L. E., & Friman, M. (2016). Development and test of the Perceived Accessibility Scale (PAC) in public transport. Journal of Transport Geography, 54, 257–263.

  • Lee, C. K., Yoon, Y. S., & Lee, S. K. (2007). Investigating the relationships among perceived value, satisfaction, and recommendations: The case of the Korean DMZ. Tourism management, 28(1), 204–214.

  • Lovelock, C. H. (2000). Service Marketing 4th edition Prentice Hall International. New Jersey.

  • Luo, X. (2002). Uses and gratifications theory and e-consumer behaviors: a structural equation modeling study. Journal of Interactive Advertising, 2(2), 34–41.

  • Lyons, G., Hammond, P., & Mackay, K. (2019). The importance of user perspective in the evolution of MaaS. Transportation Research Part A: Policy and Practice, 121, 22–36.

  • Liljamo, T., Liimatainen, H., Pöllänen, M., & Utriainen, R. (2020). People’s current mobility costs and willingness to pay for Mobility as a Service offerings. Transportation Research Part A: Policy and Practice, 136, 99–119.

  • MaaS Global. (2016) What is Mobility as a Service (MaaS)?. Retrieved from https://maas.global/what-is-mobility-as-a-service-maas/

  • Matyas, M., & Kamargianni, M. (2019). Survey design for exploring demand for Mobility as a Service plans. Transportation, 46(5), 1525–1558.

  • Meyer-Waarden, L., Benavent, C., & Castéran, H. (2013). The effects of purchase orientations on perceived loyalty programmes’ benefits and loyalty. International Journal of Retail & Distribution Management, 41(3), 201–225.

  • Mulley, C., Nelson, J. D., & Wright, S. (2018). Community transport meets mobility as a service: On the road to a new a flexible future. Research in Transportation Economics, 69, 583–591.

  • Nunnally, J. C. (1978). Psychometric Theory: 2d Ed. McGraw-Hill.

  • Ngoc Thuy, P. (2011). Using service convenience to reduce perceived cost. Marketing Intelligence & Planning, 29(5), 473–487.

  • Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of marketing research, 17(4), 460–469.

  • Polydoropoulou, A., Pagoni, I., & Tsirimpa, A. (2020). Ready for Mobility as a Service? Insights from stakeholders and end-users. Travel Behaviour and Society, 21, 295–306.

  • Preacher, K. J., & Hayes, A. F. (2008). Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior research methods, 40(3), 879–891.

  • Ryu, K., Han, H., & Kim, T. H. (2008). The relationships among overall quick-casual restaurant image, perceived value, customer satisfaction, and behavioral intentions. International Journal of Hospitality Management, 27(3), 459–469.

  • Schikofsky, J., Dannewald, T., & Kowald, M. (2020). Exploring motivational mechanisms behind the intention to adopt mobility as a service (MaaS): Insights from Germany. Transportation Research Part A: Policy and Practice, 131, 296–312.

  • Sochor, J., Karlsson, I. M., & Stromberg, H. (2016). Trying out mobility as a service: Experiences from a field trial and implications for understanding demand. Transportation Research Record, 2542(1), 57–64.

  • Sochor, J., Stromberg, H., & Karlsson, I. M. (2015). Implementing mobility as a service: challenges in integrating user, commercial, and societal perspectives. Transportation Research Record, 2536(1), 1–9.

  • Sochor, J.L., Strömberg, H., Karlsson, M. (2014). Travelers’ motives for adopting a new, innovative travel service: Insights from the UbiGo field operational test in Göthenburg, Sweden. In: 21st World Congress on Intelligent Transport Systems, Detroit, September 7–11, 2014.

  • Sheeran, P., & Webb, T. L. (2016). The intention–behavior gap. Social and Personality Psychology Compass, 10(9), 503–518.

  • Su, D. N., Nguyen-Phuoc, D. Q., & Johnson, L. W. (2021). Effects of perceived safety, involvement and perceived service quality on loyalty intention among ride-sourcing passengers. Transportation, 48, 369–393.

  • Tan, W. K., & Chen, T. H. (2012). The usage of online tourist information sources in tourist information search: an exploratory study. The Service Industries Journal, 32(3), 451–476.

  • United Nations (2018). World Urbanization Prospects: The 2018 Revision

  • Utriainen, R. & M. Pollanen (2018). Review on mobility as a service in scientific publications. Research in Transportation Business & Management 27, 15–23.

  • Van Audenhove, F. J., Korniichuk, O., Dauby, L., & Pourbaix, J. (2014). The future of urban mobility 2.0: Imperatives to shape extended mobility ecosystems of tomorrow.

  • Wang, Y., Gu, J., Wang, S., & Wang, J. (2019). Understanding consumers’ willingness to use ride-sharing services: The roles of perceived value and perceived risk. Transportation Research Part C: Emerging Technologies, 105, 504–519.

  • Wong, Y. Z., & Hensher, D. A. (2020). Delivering mobility as a service (MaaS) through a broker/aggregator business model. Transportation, 1–27.

  • Woodruff, R. B. (1997). Customer value: the next source for competitive advantage. Journal of the Academy of Marketing Science, 25(2), 139.

  • Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. Journal of Marketing 52(3), 2–22.

  • Zhang, C., Liu, Y., Lu, W., & Xiao, G. (2019). Evaluating passenger satisfaction index based on PLS-SEM model: Evidence from Chinese public transport service. Transportation Research Part A: Policy and Practice, 120, 149–164.

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  1. National Cheng Kung University, Tainan, Taiwan

    Ching-Fu Chen & Yi-Xuan Chen

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  1. Ching-Fu Chen
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Correspondence to Ching-Fu Chen.

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Chen, CF., Chen, YX. Investigating the effects of platform and mobility on mobility as a service (MaaS) users’ service experience and behavioral intention: empirical evidence from MeNGo, Kaohsiung. Transportation 50, 2299–2318 (2023). https://doi.org/10.1007/s11116-022-10309-5

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