Factors and customers’ profiles; MaaS modelling; Mobility-as-a-Service; Two-sided market; Business models; Customer choice model; Customer profiles; Factor and customer’ profile; Mobility-as-a-service; Mobility-as-a-service modeling; Service ecosystems; Service modeling; Service provider; Two-sided markets; Automotive Engineering; Transportation; Mechanical Engineering
Abstract :
[en] Mobility-as-a-Service (MaaS) system is regarded as one of the emerging solutions to offer integrated, seamless, and flexible multi-modal mobility services as an alternative to privately owned mobility resources. MaaS is expected to change the way users will choose their modes of transport to reach their daily activities, and how service providers will generate profits, cooperate, and compete. To successfully deploy MaaS to reach the intended goals, it is critical to develop feasible and sustainable models that capture the diverse needs of customers as well as the diverse and often competing objectives of service providers. This paper aims to provide a general modelling framework and a critical and descriptive analysis of the relevant literature relating all main actors in the MaaS ecosystem, and identify and discuss all factors that are considered relevant, focusing on the actor’s decision-making processes and their correlations. This review shows the large variety and interaction of factors influencing MaaS adoption and their impact on forecasting MaaS appeal. It is also observed that current travel behaviour and multi-modal transport models are not fully capturing the diverse travel needs and choices of potential MaaS users. Recent advancements in agent-based simulation and discrete choice modelling offer potential solutions to address this gap, and future research should aim in that direction. Finally, the review analyses the interaction between MaaS actors, including customers, service providers, the government, and the MaaS Broker, highlighting the complexity of the modelling process comprising all actors of the MaaS ecosystem. Therefore, it is recommended to prioritise future research in exploring these areas.
Disciplines :
Civil engineering Special economic topics (health, labor, transportation...)
Author, co-author :
Cisterna, Carolina ✱; Department of Engineering, University of Luxembourg, Esch-sur-Alzette, Luxembourg
Madani, Negarsadat ✱; Université de Liège - ULiège > Urban and Environmental Engineering
Bandiera, Claudia ✱; Department of Engineering, University of Luxembourg, Esch-sur-Alzette, Luxembourg
Viti, Francesco; Department of Engineering, University of Luxembourg, Esch-sur-Alzette, Luxembourg
Cools, Mario ; Université de Liège - ULiège > Département ArGEnCo > Transports et mobilité ; Faculty of Business Economics, Hasselt University, Diepenbeek, Belgium ; 4KU Leuven Campus Brussels, Brussels, Belgium
✱ These authors have contributed equally to this work.
Language :
English
Title :
MaaS modelling: a review of factors, customers’ profiles, choices and business models
Publication date :
December 2023
Journal title :
European Transport Research Review
ISSN :
1867-0717
eISSN :
1866-8887
Publisher :
Springer Science and Business Media Deutschland GmbH
F.R.S.-FNRS - Fonds de la Recherche Scientifique FNR - Fonds National de la Recherche
Funding text :
The authors thank Ismaïl Saadi and Mehdi Moeinaddini for a very early draft of the manuscript.This work was supported by the Fonds de la Recherche Scientifique-FNRS under Grant n° T.0044.21 and MaaS4All project funded by Fonds National de la Recherche Luxembourg Grant n°: 13769009.
Heikkilä, S. (2014). Mobility as a service: A proposal for action for the public administration case Helsinki, p. 94.
Hietanen, S. (2014). Mobility as a service the new transport paradigm, p. 18.
Matyas, M., & Kamargianni, M. (2017). A stated preference experiments for mobility-as-a-service plans. In 2017 5th IEEE International conference on models and technologies for intelligent transportation systems (MT-ITS), pp. 738–743. IEEE, Naples, Italy. https://doi.org/10.1109/MTITS.2017.8005610
Wong, Y., Hensher, D., & Mulley, C. (2018). Stated preference design for mobility as a service (maas) broker/aggregator contracts. In Australasian Transport Research Forum (ATRF), 40th, 2018, Darwin, Northern Territory, Australia.
Jittrapirom, P., Caiati, V., Feneri, A.-M., Ebrahimigharehbaghi, S., González, M. J. A., & Narayan, J. (2017). Mobility as a service: A critical review of definitions, assessments of schemes, and key challenges. Urban Planning, 2(2), 13. 10.17645/up.v2i2.931 DOI: 10.17645/up.v2i2.931
Matyas, M., & Kamargianni, M. (2018). Survey design for exploring demand for mobility as a service plans. Transportation. 10.1007/s11116-018-9938-8 DOI: 10.1007/s11116-018-9938-8
Esztergár-Kiss, D., Kerényi, T., Mátrai, T., & Aba, A. (2020). Exploring the maas market with systematic analysis. European Transport Research Review, 12(1), 1–16. 10.1186/s12544-020-00465-z DOI: 10.1186/s12544-020-00465-z
Rey-Moreno, M., Periáñez-Cristóbal, R., & Calvo-Mora, A. (2023). Reflections on sustainable urban mobility, mobility as a service (maas) and adoption models. International Journal of Environmental Research and Public Health, 20(1), 274. 10.3390/ijerph20010274 DOI: 10.3390/ijerph20010274
Kriswardhana, W., & Esztergár-Kiss, D. (2023). A systematic literature review of Mobility as a Service: Examining the socio-technical factors in MaaS adoption and bundling packages. Travel Behaviour and Society, 31(October 2022), 232–243. 10.1016/j.tbs.2022.12.007 DOI: 10.1016/j.tbs.2022.12.007
Hensher, D. A., Mulley, C., & Nelson, J. D. (2023). What is an ideal (utopian) mobility as a service (maas) framework? A communication note. Transportation Research Part A: Policy and Practice, 172, 103675. 10.1016/j.tra.2023.103675 DOI: 10.1016/j.tra.2023.103675
Musolino, G., Rindone, C., & Vitetta, A. (2022). Models for supporting mobility as a service (maas) design. Smart Cities, 5(1), 206–222. 10.3390/smartcities5010013 DOI: 10.3390/smartcities5010013
Van Wee, B., & Banister, D. (2016). How to write a literature review paper? Transport Reviews, 36(2), 278–288. 10.1080/01441647.2015.1065456 DOI: 10.1080/01441647.2015.1065456
Rahbar, M., Lim, K.L., Whitehead, J., & Hickman, M. (2022). Data in mobility as a service: A real-world trial in Queensland, Australia. Australasian Transport Research Forum.
Tsouros, I., Tsirimpa, A., Pagoni, I., & Polydoropoulou, A. (2021). MaaS users: Who they are and how much they are willing-to-pay. Transportation Research Part A: Policy and Practice, 148(June 2020), 470–480. 10.1016/j.tra.2021.04.016 DOI: 10.1016/j.tra.2021.04.016
Matyas, M., & Kamargianni, M. (2018). Exploring individual preferences for mobility as a service plans: A mixed methods approach. MaaSLab Working Paper Series Paper (August), 18–20.
Prillwitz, J., Harms, S., & Lanzendorf, M. (2006). Impact of life-course events on car ownership. Transportation Research Record, 1985, 71–77. 10.3141/1985-08 DOI: 10.3141/1985-08
Van’t Veer, R., Annema, J. A., Araghi, Y., de Almeida, Homem, Correia, G., & van Wee, B. (2023). Mobility-as-a-Service (MaaS): A latent class cluster analysis to identify Dutch vehicle owners’ use intention. Transportation Research Part A: Policy and Practice, 169(November 2022), 103608. 10.1016/j.tra.2023.103608 DOI: 10.1016/j.tra.2023.103608
Aguilar-Palacio, I., Carrera-Lasfuentes, P., Sánchez-Recio, R., Alonso, J. P., & Rabanaque, M. J. (2018). Recession, employment and self-rated health: A study on the gender gap. Public Health, 154, 44–50. 10.1016/j.puhe.2017.10.013 DOI: 10.1016/j.puhe.2017.10.013
Avram, S., & Popova, D. (2020). Do welfare state taxes and transfers reduce gender income inequality? Evidence from eight European countries. EUROMOD Working Paper Series (09/20), 102644. https://doi.org/10.1016/j.ssresearch.2021.102644
Dargay, J. M. (2001). The effect of income on car ownership: Evidence of asymmetry. Transportation Research Part A: Policy and Practice, 35(9), 807–821. 10.1016/S0965-8564(00)00018-5 DOI: 10.1016/S0965-8564(00)00018-5
De Gregorio, J., & Lee, J. W. (2002). Education and income inequality: New evidence from cross-country data. Review of Income and Wealth, 48(3), 395–416. 10.1111/1475-4991.00060 DOI: 10.1111/1475-4991.00060
De Vos, J., & Alemi, F. (2020). Are young adults car-loving urbanites? Comparing young and older adults’ residential location choice, travel behavior and attitudes. Transportation Research Part A: Policy and Practice, 132(April 2019), 986–998. 10.1016/j.tra.2020.01.004 DOI: 10.1016/j.tra.2020.01.004
Nolan, A. (2010). A dynamic analysis of household car ownership. Transportation Research Part A: Policy and Practice, 44(6), 446–455. 10.1016/j.tra.2010.03.018 DOI: 10.1016/j.tra.2010.03.018
Nutz, T., & Lersch, P. M. (2021). Gendered employment trajectories and individual wealth at older ages in Eastern and Western Germany. Advances in Life Course Research, 47(March 2020), 100374. 10.1016/j.alcr.2020.100374 DOI: 10.1016/j.alcr.2020.100374
Ong, P. M. (2002). Car ownership and welfare-to-work. Journal of Policy Analysis and Management, 21(2), 239–252. 10.1002/pam.10025 DOI: 10.1002/pam.10025
Raphael, S., & Rice, L. (2002). Car ownership, employment, and earnings. Journal of Urban Economics, 52(1), 109–130. 10.1016/S0094-1190(02)00017-7 DOI: 10.1016/S0094-1190(02)00017-7
Rehman, A., & Jamil, F. (2021). Impact of urban residential location choice on housing, travel demands and associated costs: Comparative analysis with empirical evidence from Pakistan. Transportation Research Interdisciplinary Perspectives, 10(March), 100357. 10.1016/j.trip.2021.100357 DOI: 10.1016/j.trip.2021.100357
Somani, R. (2021). The returns to higher education and public employment. World Development, 144, 105471. 10.1016/j.worlddev.2021.105471 DOI: 10.1016/j.worlddev.2021.105471
Thøgersen, J. (2018). Transport-related lifestyle and environmentally-friendly travel mode choices: A multi-level approach. Transportation Research Part A: Policy and Practice, 107(November 2017), 166–186. 10.1016/j.tra.2017.11.015 DOI: 10.1016/j.tra.2017.11.015
Young, S., & Caisey, V. (2010). Mind shift, mode shift: A lifestyle approach to reducing car ownership and use based on behavioural economics and social marketing. Perspectives in Public Health, 130(3), 136–142. 10.1177/1757913909354151 DOI: 10.1177/1757913909354151
Caiati, V., Feneri, A.-m., Jittrapirom, P., & Rasouli, S. (2020). An analysis of the potential adoption of mobility as a service across different age groups and lifestages: A mixed-methods approach. In: Paper Presented at Transport Research Arena 2020, Helsinki, Finland.
Jang, S., Caiati, V., Rasouli, S., Timmermans, H., & Choi, K. (2020). Does MaaS contribute to sustainable transportation? A mode choice perspective. International Journal of Sustainable Transportation, 15(5), 1–13. 10.1080/15568318.2020.1783726 DOI: 10.1080/15568318.2020.1783726
Christiaanse, R. (2019). Mobility as a service a valuecentric approach to design. The Web Conference 2019: Companion of the World Wide Web Conference, WWW 2019, 83–92. https://doi.org/10.1145/3308560.3317050
Cottrill, C. D. (2020). MaaS surveillance: Privacy considerations in mobility as a service. Transportation Research Part A: Policy and Practice, 131(September 2019), 50–57. 10.1016/j.tra.2019.09.026 DOI: 10.1016/j.tra.2019.09.026
Bouscasse, H., Joly, I., & Bonnel, P. (2018). How does environmental concern influence mode choice habits? A mediation analysis. Transportation Research Part D: Transport and Environment, 59, 205–222. 10.1016/j.trd.2018.01.007 DOI: 10.1016/j.trd.2018.01.007
Mehdizadeh Dastjerdi, A., Kaplan, S., de Abreu e Silva, J., Nielsen, O. A., & Pereira, F. C. (2019). Participating in environmental loyalty program with a real-time multimodal travel app: User needs, environmental and privacy motivators. Transportation Research Part D: Transport and Environment, 67, 223–243. 10.1016/j.trd.2018.11.013 DOI: 10.1016/j.trd.2018.11.013
Duvigneaud, N., Wijndaele, K., Matton, L., Deriemaeker, P., Philippaerts, R., Lefevre, J., Thomis, M., & Duquet, W. (2007). Socio-economic and lifestyle factors associated with overweight in Flemish adult men and women. BMC Public Health, 7, 1–10. 10.1186/1471-2458-7-23 DOI: 10.1186/1471-2458-7-23
Johansson, L., Thelle, D. S., Solvoll, K., Bjørneboe, G. E. A., & Drevon, C. A. (1999). Healthy dietary habits in relation to social determinants and lifestyle factors. British Journal of Nutrition, 81(3), 211–220. 10.1017/S0007114599000409 DOI: 10.1017/S0007114599000409
Zijlstra, T., Durand, A., Hoogendoorn-Lanser, S., & Harms, L. (2020). Early adopters of Mobility-as-a-Service in the Netherlands. Transport Policy, 97, 197–209. 10.1016/j.tranpol.2020.07.019 DOI: 10.1016/j.tranpol.2020.07.019
Contoyannis, P., & Jones, A. M. (2004). Socio-economic status, health and lifestyle. Journal of Health Economics, 23(5), 965–995. 10.1016/j.jhealeco.2004.02.001 DOI: 10.1016/j.jhealeco.2004.02.001
Fernandez, A., Lozano, A., Lee, T. K., Messiah, S. E., & Prado, G. (2022). A healthy lifestyle intervention for hispanic families: Moderating effects of education, income, nativity. Journal of Nutrition Education and Behavior, 54(2), 125–134. 10.1016/j.jneb.2021.05.001 DOI: 10.1016/j.jneb.2021.05.001
Luiu, C., Tight, M., & Burrow, M. (2018). An investigation into the factors influencing travel needs during later life. Journal of Transport and Health, 11, 86–99. 10.1016/j.jth.2018.10.005 DOI: 10.1016/j.jth.2018.10.005
Delhomme, P., & Gheorghiu, A. (2016). Comparing French carpoolers and non-carpoolers: Which factors contribute the most to carpooling? Transportation Research Part D: Transport and Environment, 42, 1–15. 10.1016/j.trd.2015.10.014 DOI: 10.1016/j.trd.2015.10.014
Neoh, J. G., Chipulu, M., & Marshall, A. (2017). What encourages people to carpool? An evaluation of factors with meta-analysis. Transportation, 44(2), 423–447. 10.1007/s11116-015-9661-7 DOI: 10.1007/s11116-015-9661-7
Zarabi, Z., Manaugh, K., & Lord, S. (2019). The impacts of residential relocation on commute habits: A qualitative perspective on households’ mobility behaviors and strategies. Travel Behaviour and Society, 16, 131–142. 10.1016/j.tbs.2019.05.003 DOI: 10.1016/j.tbs.2019.05.003
Broome, K., Worrall, L., Fleming, J., & Boldy, D. (2013). Evaluation of age-friendly guidelines for public buses. Transportation Research Part A: Policy and Practice, 53, 68–80. 10.1016/j.tra.2013.05.003 DOI: 10.1016/j.tra.2013.05.003
Bastarianto, Faza Fawzan, Irawan, Muhammad Zudhy, Charisma Choudhury, D. P., & Muthohar, I. (2019). A tour-based mode choice model for commuters in indonesia. Sustainability, 11(3), 788. 10.3390/su11030788 DOI: 10.3390/su11030788
Matyas, M., & Kamargianni, M. (2019). The potential of mobility as a service bundles as a mobility management tool. Transportation, 46(5), 1951–1968. 10.1007/s11116-018-9913-4 DOI: 10.1007/s11116-018-9913-4
Vij, A., Ryan, S., Sampson, S., & Harris, S. (2020). Consumer preferences for Mobility-as-a-Service (MaaS) in Australia. Transportation Research Part C: Emerging Technologies, 117, 102699. 10.1016/j.trc.2020.102699 DOI: 10.1016/j.trc.2020.102699
Kim, H., Lee, K., Joh, C. H., Kim, J., Moon, S., Lee, C., Lee, S., Lee, J., & Lim, H. J. (2023). Spatial experience on tourism through MaaS (Mobility as a Service): Applying for a conjoint model of portfolio choice. Information Processing and Management, 60(3), 103263. 10.1016/j.ipm.2022.103263 DOI: 10.1016/j.ipm.2022.103263
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. 10.1016/j.tra.2020.03.034 DOI: 10.1016/j.tra.2020.03.034
Matyas, M., & Kamargianni, M. (2021). Investigating heterogeneity in preferences for Mobility-as-a-Service plans through a latent class choice model. Travel Behaviour and Society, 23, 143–156. 10.1016/j.tbs.2020.12.002 DOI: 10.1016/j.tbs.2020.12.002
Casadó, R. G., Golightly, D., Laing, K., Palacin, R., & Todd, L. (2020). Children, young people and mobility as a service: Opportunities and barriers for future mobility. Transportation Research Interdisciplinary Perspectives, 4, 100107. 10.1016/j.trip.2020.100107 DOI: 10.1016/j.trip.2020.100107
Matyas, M. (2020). Investigating individual preferences for new mobility services: The case of “mobility as a service” products. PhD thesis, University College London.
Hörcher, D., & Graham, D. J. (2020). MaaS economics: Should we fight car ownership with subscriptions to alternative modes? Economics of Transportation, 22, 100167. 10.1016/j.ecotra.2020.100167 DOI: 10.1016/j.ecotra.2020.100167
Kamargianni, M., & Matyas, M. (2017). The business ecosystem of mobility-as-a-service. In: Transportation Research Board, vol. 96. Transportation Research Board.
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. 10.1016/j.tra.2020.12.015 DOI: 10.1016/j.tra.2020.12.015
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. 10.1016/j.trc.2020.102932 DOI: 10.1016/j.trc.2020.102932
Kim, W., di Benedetto, C. A., & Lancioni, R. A. (2011). The effects of country and gender differences on consumer innovativeness and decision processes in a highly globalized high-tech product market. Asia Pacific Journal of Marketing and Logistics, 23(5), 714–744. 10.1108/13555851111183101 DOI: 10.1108/13555851111183101
Wei, S.-C. (2005). Consumers’ demographic characteristics, cognitive ages, and innovativeness. In: Menon, G., & Raon, A.R. (eds.) NA: Advances in Consumer Research Volume 32, pp. 633–640. Association for Consumer Research, Duluth, MN. http://www.acrwebsite.org/volumes/9167/volumes/v32/NA-32
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. 10.1016/j.tra.2018.08.025 DOI: 10.1016/j.tra.2018.08.025
Kamargianni, M., & Goulding, R. (2018). The mobility as a service maturity index: Preparing cities for the mobility as a service Era. In Proceedings of 7th Transport Research Arena TRA 2018, April 16–19, 2018, Vienna, Austria. https://doi.org/10.5281/zenodo.1485002
Madani, N., Creemers, L., Moeinaddini, M., Saadi, I., & Cools, M. (2022). Low-cost shared mobility alternatives in rural areas: A case study of ride-sharing benches in the german-speaking community of belgium. Case Studies on Transport Policy.
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(January), 22–36. 10.1016/j.tra.2018.12.010 DOI: 10.1016/j.tra.2018.12.010
Kamargianni, M., Li, W., Matyas, M., & Schäfer, A. (2016). A critical review of new mobility services for urban transport. Transportation Research Procedia, 14, 3294–3303. 10.1016/j.trpro.2016.05.277 DOI: 10.1016/j.trpro.2016.05.277
Preston, J. (2012). Integration for Seamless Transport. Discussion Paper 2012-01, International Transport Forum. https://www.internationaltransportforum.org/jtrc/DiscussionPapers/DP201201.pdf
Athanasopoulou, A., Deijkers, T., Ozkan, B., & Turetken, O. (2022). MaaS platform features: An exploration of their relationship and importance from supply and demand perspective. Journal of Urban Mobility, 2(June), 100028. 10.1016/j.urbmob.2022.100028 DOI: 10.1016/j.urbmob.2022.100028
Kim, S., & Rasouli, S. (2022). The influence of latent lifestyle on acceptance of mobility-as-a-service (maas): A hierarchical latent variable and latent class approach. Transportation Research Part A: Policy and Practice, 159, 304–319. 10.1016/j.tra.2022.03.020 DOI: 10.1016/j.tra.2022.03.020
Macedo, E., Teixeira, J., Gather, M., Hille, C., Will, M.-L., Fischer, N., & Bandeira, J. M. (2022). Exploring relevant factors behind a maas scheme. Transportation Research Procedia, 62, 607–614. 10.1016/j.trpro.2022.02.075 DOI: 10.1016/j.trpro.2022.02.075
Duan, S. X., Tay, R., Molla, A., & Deng, H. (2022). Predicting mobility as a service (maas) use for different trip categories: An artificial neural network analysis. Transportation Research Part A: Policy and Practice, 166, 135–149. 10.1016/j.tra.2022.10.014 DOI: 10.1016/j.tra.2022.10.014
Esztergár-Kiss, D., & Kerényi, T. (2020). Creation of mobility packages based on the MaaS concept. Travel Behaviour and Society, 21(June 2019), 307–317. 10.1016/j.tbs.2019.05.007 DOI: 10.1016/j.tbs.2019.05.007
Cisterna, C., Bigi, F., & Viti, F. (2022). The impact of total cost of ownership on MaaS system appeal using an agent-based approach, p. 12.
Wong, Y. Z., Hensher, D. A., & Mulley, C. (2020). Mobility as a service (MaaS): Charting a future context. Transportation Research Part A: Policy and Practice, 131, 5–19. 10.1016/j.tra.2019.09.030 DOI: 10.1016/j.tra.2019.09.030
Sochor, J., Karlsson, I. C. M., & Strömberg, H. (2016). Trying out mobility as a service: Experiences from a field trial and implications for understanding demand. Transportation Research Record: Journal of the Transportation Research Board, 2542(1), 57–64. 10.3141/2542-07 DOI: 10.3141/2542-07
Reck, D. J., Hensher, D. A., & Ho, C. Q. (2020). MaaS bundle design. Transportation Research Part A: Policy and Practice, 141, 485–501. 10.1016/j.tra.2020.09.021 DOI: 10.1016/j.tra.2020.09.021
Hasnine, M. S., & Nurul Habib, K. (2021). Tour-based mode choice modelling as the core of an activity-based travel demand modelling framework: A review of state-of-the-art. Transport Reviews, 41(1), 5–26. 10.1080/01441647.2020.1780648 DOI: 10.1080/01441647.2020.1780648
Caiati, V., Rasouli, S., & Timmermans, H. (2020). Bundling, pricing schemes and extra features preferences for mobility as a service: Sequential portfolio choice experiment. Transportation Research Part A: Policy and Practice, 131, 123–148. 10.1016/j.tra.2019.09.029 DOI: 10.1016/j.tra.2019.09.029
Ho, C. Q., Mulley, C., & Hensher, D. A. (2019). Public preferences for mobility as a service: Insights from stated preference surveys. Transportation Research Part A: Policy and Practice. 10.1016/j.tra.2019.09.031 DOI: 10.1016/j.tra.2019.09.031
Krauss, K., Reck, D. J., & Axhausen, K. W. (2023). How does transport supply and mobility behaviour impact preferences for maas bundles? A multi-city approach. Transportation Research Part C: Emerging Technologies, 147, 104013. 10.1016/j.trc.2023.104013 DOI: 10.1016/j.trc.2023.104013
Guidon, S., Wicki, M., Bernauer, T., & Axhausen, K. (2020). Transportation service bundling: For whose benefit? Consumer valuation of pure bundling in the passenger transportation market. Transportation Research Part A: Policy and Practice, 131, 91–106. 10.1016/j.tra.2019.09.023 DOI: 10.1016/j.tra.2019.09.023
Alonso-González, M. J., Hoogendoorn-Lanser, S., van Oort, N., Cats, O., & Hoogendoorn, S. (2020). Drivers and barriers in adopting Mobility as a Service (MaaS): A latent class cluster analysis of attitudes. Transportation Research Part A: Policy and Practice, 132, 378–401. 10.1016/j.tra.2019.11.022 DOI: 10.1016/j.tra.2019.11.022
Feneri, A.-M., Rasouli, S., & Timmermans, H. J. P. (2020). Modeling the effect of Mobility-as-a-Service on mode choice decisions. Transportation Letters. 10.1080/19427867.2020.1730025 DOI: 10.1080/19427867.2020.1730025
Fioreze, T., de Gruijter, M., & Geurs, K. (2019). On the likelihood of using Mobility-as-a-Service: A case study on innovative mobility services among residents in the Netherlands. Case Studies on Transport Policy, 7(4), 790–801. 10.1016/j.cstp.2019.08.002 DOI: 10.1016/j.cstp.2019.08.002
Kim, Y., Kim, E.-J., Jang, S., & Kim, D.-K. (2021). A comparative analysis of the users of private cars and public transportation for intermodal options under Mobility-as-a-Service in Seoul. Travel Behaviour and Society, 24, 68–80. 10.1016/j.tbs.2021.03.001 DOI: 10.1016/j.tbs.2021.03.001
Polydoropoulou, A., Tsouros, I., Pagoni, I., & Tsirimpa, A. (2020). Exploring individual preferences and willingness to pay for mobility as a service. Transportation Research Record, 2674(11), 152–164. 10.1177/0361198120938054 DOI: 10.1177/0361198120938054
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. 10.1016/j.tra.2019.09.022 DOI: 10.1016/j.tra.2019.09.022
Ye, J., Zheng, J., & Yi, F. (2020). A study on users’ willingness to accept mobility as a service based on UTAUT model. Technological Forecasting and Social Change, 157, 120066. 10.1016/j.techfore.2020.120066 DOI: 10.1016/j.techfore.2020.120066
Lopez-Carreiro, I., Monzon, A., Lois, D., & Lopez-Lambas, M. E. (2021). Are travellers willing to adopt MaaS? Exploring attitudinal and personality factors in the case of Madrid, Spain. Travel Behaviour and Society, 25, 246–261. 10.1016/j.tbs.2021.07.011 DOI: 10.1016/j.tbs.2021.07.011
Mulley, C., Ho, C., Balbontin, C., Hensher, D., Stevens, L., Nelson, J. D., & Wright, S. (2020). Mobility as a service in community transport in australia: Can it provide a sustainable future? Transportation Research Part A: Policy and Practice, 131, 107–122. 10.1016/j.tra.2019.04.001 DOI: 10.1016/j.tra.2019.04.001
Narayanan, S., & Antoniou, C. (2023). Shared mobility services towards mobility as a service (maas): What, who and when? Transportation Research Part A: Policy and Practice, 168, 103581. 10.1016/j.tra.2023.103581 DOI: 10.1016/j.tra.2023.103581
Kim, H., Lee, K., Joh, C.-H., Kim, J., Moon, S., Lee, C., Lee, S., Lee, J., & Lim, H. (2023). Spatial experience on tourism through maas (mobility as a service): Applying for a conjoint model of portfolio choice. Information Processing & Management, 60(3), 103263. 10.1016/j.ipm.2022.103263 DOI: 10.1016/j.ipm.2022.103263
van’t Veer, R., Annema, J. A., Araghi, Y., de Almeida Correia, G. H., & van Wee, B. (2023). Mobility-as-a-service (maas): A latent class cluster analysis to identify dutch vehicle owners’ use intention. Transportation Research Part A: Policy and Practice, 169, 103608. 10.1016/j.tra.2023.103608 DOI: 10.1016/j.tra.2023.103608
Ben-Akiva, M., Mcfadden, D., Train, K., Walker, J., Bhat, C., Bierlaire, M., Bolduc, D., Boersch-Supan, A., Brownstone, D., Bunch, D. S., Daly, A., De Palma, A., Gopinath, D., Karlstrom, A., & Munizaga, M. A. (2002). Hybrid choice models: Progress and challenges. Marketing Letters, 13(3), 163–175. 10.1023/A:1020254301302 DOI: 10.1023/A:1020254301302
Karlsson, I. C. M., Sochor, J., & Strömberg, H. (2016). Developing the ‘service’ in mobility as a service: Experiences from a field trial of an innovative travel brokerage. Transportation Research Procedia, 14, 3265–3273. 10.1016/j.trpro.2016.05.273 DOI: 10.1016/j.trpro.2016.05.273
Sochor, J., Arby, H., Karlsson, I. C. M., & Sarasini, S. (2018). A topological approach to Mobility as a Service: A proposed tool for understanding requirements and effects, and for aiding the integration of societal goals. Research in Transportation Business & Management, 27, 3–14. 10.1016/j.rtbm.2018.12.003 DOI: 10.1016/j.rtbm.2018.12.003
Storme, T., De Vos, J., De Paepe, L., & Witlox, F. (2019). Limitations to the car-substitution effect of MaaS: Findings from a Belgian pilot study. Transportation Research Part A: Policy and Practice. 10.1016/j.tra.2019.09.032 DOI: 10.1016/j.tra.2019.09.032
Strömberg, H., Karlsson, I. C. M., & Sochor, J. (2018). Inviting travelers to the smorgasbord of sustainable urban transport: Evidence from a MaaS field trial. Transportation, 45(6), 1655–1670. 10.1007/s11116-018-9946-8 DOI: 10.1007/s11116-018-9946-8
Musolino, G., Rindone, C., Vitale, A., & Vitetta, A. (2023). Pilot survey of passengers’ preferences in mobility as a service (maas) scenarios: A case study. Transportation Research Procedia, 69, 328–335. 10.1016/j.trpro.2023.02.179 DOI: 10.1016/j.trpro.2023.02.179
Kucharski, R., & Cats, O. (2022). Simulating two-sided mobility platforms with MaaSSim. PLOS ONE, 17(6), 0269682. 10.1371/journal.pone.0269682 DOI: 10.1371/journal.pone.0269682
Bonabeau, E. (2002). Agent-based modeling: Methods and techniques for simulating human systems. Proceedings of the National Academy of Sciences, 99(suppl-3), 7280–7287. 10.1073/pnas.082080899 DOI: 10.1073/pnas.082080899
Ciari, F., Balmer, M., & Axhausen, K. W. (2008). A new mode choice model for a multi-agent transport simulation. Arbeitsberichte Verkehrs-und Raumplanung. 10.3929/ethz-a-005697694 DOI: 10.3929/ethz-a-005697694
Cisterna, C., Bigi, F., Tinessa, F., & Viti, F. (2022). Analysis of MaaS membership attributes: An agent-based approach. Transportation Research Procedia, 62, 483–490. 10.1016/j.trpro.2022.02.060 DOI: 10.1016/j.trpro.2022.02.060
Polydoropoulou, A., Pagoni, I., Tsirimpa, A., Roumboutsos, A., Kamargianni, M., & Tsouros, I. (2020). Prototype business models for Mobility-as-a-Service. Transportation Research Part A: Policy and Practice, 131, 149–162. 10.1016/j.tra.2019.09.035 DOI: 10.1016/j.tra.2019.09.035
König, D., Eckhardt, J., Aapaoja, A., Sochor, J., & Karlsson, M. (2016). Deliverable 3: Business and operator models for mobility as a service (MaaS). MAASiFiE Project Funded by CEDR.
Wong, Y. Z., & Hensher, D. A. (2021). Delivering mobility as a service (MaaS) through a broker/aggregator business model. Transportation, 48, 1837–1863. 10.1007/s11116-020-10113-z DOI: 10.1007/s11116-020-10113-z
Eckhardt, J., Aapaoja, A., Nykänen, L., & Sochor, J. (2017). Mobility as a Service Business and Operator Models. In Paper Presented at the 12th ITS European Congress, Strasbourg, France.
van den Berg, V. A. C., Meurs, H., & Verhoef, E. T. (2022). Business models for mobility as an service (maas). Transportation Research Part B: Methodological, 157, 203–229. 10.1016/j.trb.2022.02.004 DOI: 10.1016/j.trb.2022.02.004
Calderón, F., & Miller, E. J. (2020). A literature review of mobility services: Definitions, modelling state-of-the-art, and key considerations for a conceptual modelling framework. Transport Reviews, 40(3), 312–332. 10.1080/01441647.2019.1704916 DOI: 10.1080/01441647.2019.1704916
Meurs, H., & Timmermans, H. (2017). Mobility as a service as a multisided market: Challenges for modeling. In Proceedings of the 96th Annual Meeting of the Transportation Research Board.
Djavadian, S., & Chow, J. Y. J. (2017). An agent-based day-to-day adjustment process for modeling mobility as a service with a two-sided flexible transport market. Transportation Research Part B: Methodological, 104, 36–57. 10.1016/j.trb.2017.06.015 DOI: 10.1016/j.trb.2017.06.015
Djavadian, S., & Chow, J. Y. J. (2017). Agent-based day-to-day adjustment process to evaluate dynamic flexible transport service policies. Transportmetrica B: Transport Dynamics, 5(3), 281–306. 10.1080/21680566.2016.1190674 DOI: 10.1080/21680566.2016.1190674
Pham, H. D., Shimizu, T., & Nguyen, T. V. (2021). A literature review on interactions between stakeholders through accessibility indicators under mobility as a service context. International Journal of Intelligent Transportation Systems Research, 19(2), 468–476. 10.1007/s13177-021-00257-2 DOI: 10.1007/s13177-021-00257-2
Kamargianni, M., Yfantis, L., Muscat, J., Azevedo, C.L., & Ben-Akiva, M. Incorporating the mobility as a service concept into transport modelling and simulation frameworks. https://doi.org/10.1007/s11116-014-9550-5
Pagoni, I., Gatto, M., Tsouros, I., Tsirimpa, A., Polydoropoulou, A., Galli, G., & Stefanelli, T. (2022). Mobility-as-a-service: Insights to policymakers and prospective maas operators. Transportation Letters, 14(4), 356–364. 10.1080/19427867.2020.1815141 DOI: 10.1080/19427867.2020.1815141
Karlsson, I. C. M., Mukhtar-Landgren, D., Smith, G., Koglin, T., Kronsell, A., Lund, E., Sarasini, S., & Sochor, J. (2020). Development and implementation of Mobility-as-a-Service: A qualitative study of barriers and enabling factors. Transportation Research Part A: Policy and Practice, 131, 283–295. 10.1016/j.tra.2019.09.028 DOI: 10.1016/j.tra.2019.09.028
Dandl, F., Engelhardt, R., Hyland, M., Tilg, G., Bogenberger, K., & Mahmassani, H. S. (2021). Regulating mobility-on-demand services: Tri-level model and bayesian optimization solution approach. Transportation Research Part C: Emerging Technologies, 125, 103075. 10.1016/j.trc.2021.103075 DOI: 10.1016/j.trc.2021.103075
Bandiera, C., Connors, R.D., & Viti, F. (2023). A multi-modal network equilibrium model with interacting mobility service providers’ strategies. https://doi.org/10.48550/arXiv.2305.13986 arXiv:2305.13986
Najmi, A., Rashidi, T. H., & Waller, T. (2023). A multimodal multi-provider market equilibrium model: A game-theoretic approach. Transportation Research Part C: Emerging Technologies, 146, 103959. 10.1016/j.trc.2022.103959 DOI: 10.1016/j.trc.2022.103959
Chen, C.-F., & Chen, Y.-X. (2022). 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. 10.1007/s11116-022-10309-5 DOI: 10.1007/s11116-022-10309-5