{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,24]],"date-time":"2026-07-24T09:35:35Z","timestamp":1784885735953,"version":"3.55.0"},"reference-count":47,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2022,8,5]],"date-time":"2022-08-05T00:00:00Z","timestamp":1659657600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"DIIES\u2014Universit\u00e0 di Reggio Calabria","award":["ARS01_01100"],"award-info":[{"award-number":["ARS01_01100"]}]},{"name":"Fondi PON R&amp;I 2014-2020 e FSC","award":["ARS01_01100"],"award-info":[{"award-number":["ARS01_01100"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Urban mobility is evolving today towards the concept of Mobility as a Service (MaaS). MaaS allows passengers to use different transport services as a single option, by using a digital platform. Therefore, according to the MaaS concept, the mobility needs of passengers are the central element of the transport service. The objective of this paper is to build an updated state-of-the-art of the main disaggregated and aggregated variables connected to travel demand in presence of MaaS. According to the above objective, this paper deals with methods and case studies to analyze passengers\u2019 behaviour in the presence of MaaS. The methods described rely on the Transportation System Models (TSMs), in particular with the travel demand modelling component. The travel demand may be estimated by means of disaggregated, or sample, surveys (e.g., individual choices) and of aggregate surveys (e.g., characteristics of the area, traffic flows). The surveys are generally supported by Information Communication System (ICT) tools, such as: smartphones; smartcards; Global Position Systems (GPS); points of interest. The analysis of case studies allows to aggregate the existing scientific literature according to some criteria: the choice dimension of users (e.g., mode, bundle and path, or a combination of them); the characteristics of the survey (e.g., revealed preferences or stated preferences); the presence of behavioural theoretical background and of calibrated choice model(s).<\/jats:p>","DOI":"10.3390\/info13080376","type":"journal-article","created":{"date-parts":[[2022,8,7]],"date-time":"2022-08-07T22:51:46Z","timestamp":1659912706000},"page":"376","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["Sustainable Mobility as a Service: Demand Analysis and Case Studies"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5258-7331","authenticated-orcid":false,"given":"Giuseppe","family":"Musolino","sequence":"first","affiliation":[{"name":"Dipartimento di Ingegneria dell\u2019Informazione, delle Infrastrutture e dell\u2019Energia Sostenibile, Universit\u00e0 degli Studi Mediterranea di Reggio Calabria, 89124 Reggio Calabria, Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2022,8,5]]},"reference":[{"key":"ref_1","unstructured":"Transport for NSW (2022, April 12). Future Transport Technology, Roadmap 2016, Available online: https:\/\/future.transport.nsw.gov.au\/sites\/default\/files\/media\/documents\/2018\/Future-Transport-Technology-Overview-Roadmap-2016.pdf."},{"key":"ref_2","unstructured":"Veugelers, R. (2013). Manufacturing Europe\u2019s Future, Bruegel Blueprint; Bruegel."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Comi, A., Rossolov, A., Polimeni, A., and Nuzzolo, A. (2021). Private Car O-D Flow Estimation Based on Automated Vehicle Monitoring Data: Theoretical Issues and Empirical Evidence. Information, 12.","DOI":"10.3390\/info12120493"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Nuzzolo, A., and Comi, A. (2021). Dynamic Optimal Travel Strategies in Intelligent Stochastic Transit Networks. Information, 12.","DOI":"10.3390\/info12070281"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"206","DOI":"10.3390\/smartcities5010013","article-title":"Models for Supporting Mobility as a Service (MaaS) Design","volume":"5","author":"Musolino","year":"2022","journal-title":"Smart Cities"},{"key":"ref_6","unstructured":"Hensher, D.A. (2020). Understanding Mobility as a Service (MaaS): Past, Present and Future, Elsevier."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Sulskyte, D. (2021, January 24). Mobility-As-A-Service: Concepts and Theoretical Approach. Proceedings of the 2021 IEEE International Conference on Technology and Entrepreneurship (ICTE), Kaunas, Lithuania.","DOI":"10.1109\/ICTE51655.2021.9584788"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1016\/j.tranpol.2020.02.004","article-title":"Towards a Framework for Mobility-as-a-Service Policies","volume":"89","author":"Smith","year":"2020","journal-title":"Transp. Policy"},{"key":"ref_9","unstructured":"Ben-Akiva, M.E., and Lerman, S.R. (1985). Discrete Choice Analysis: Theory and Application to Travel Demand, MIT Press."},{"key":"ref_10","unstructured":"de Dios Ort\u00fazar, J., and Willumsen, L.G. (2001). Modelling Transport, John Wiley. [3rd ed.]."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Cascetta, E. (2001). Transportation Systems Engineering: Theory and Methods, Springer.","DOI":"10.1007\/978-1-4757-6873-2"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"175","DOI":"10.4028\/www.scientific.net\/KEM.486.175","article-title":"Sustainable Operation of a Transport System in Cities","volume":"486","year":"2011","journal-title":"KEM"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"284","DOI":"10.1007\/978-3-642-41647-7_35","article-title":"Travel Demand and Transportation Supply Modelling for Agglomeration without Transportation Model","volume":"Volume 395","author":"Mikulski","year":"2013","journal-title":"Activities of Transport Telematics"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1951","DOI":"10.1007\/s11116-018-9913-4","article-title":"The Potential of Mobility as a Service Bundles as a Mobility Management Tool","volume":"46","author":"Matyas","year":"2019","journal-title":"Transportation"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Vitetta, A. (2022). Sustainable Mobility as a Service: Framework and Transport System Models. Information, 13.","DOI":"10.3390\/info13070346"},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Russo, F. (2022). Sustainable Mobility as a Service: Dynamic Models for Agenda 2030 Policies. Information, 13.","DOI":"10.3390\/info13080355"},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Rindone, C. (2022). Sustainable Mobility as a Service: Supply Analysis and Test Cases. Information, 13.","DOI":"10.3390\/info13070351"},{"key":"ref_18","unstructured":"Panuccio, P. (2022). Sustainable Mobility as a Service: Smart City and Planning. Information, Submitted."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1525","DOI":"10.1007\/s11116-018-9938-8","article-title":"Survey Design for Exploring Demand for Mobility as a Service Plans","volume":"46","author":"Matyas","year":"2019","journal-title":"Transportation"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1186\/s12544-020-0395-z","article-title":"Opportunities and Barriers to Multimodal Cities: Lessons Learned from in-Depth Interviews about Attitudes towards Mobility as a Service","volume":"12","author":"Matyas","year":"2020","journal-title":"Eur. Transp. Res. Rev."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2017","DOI":"10.1007\/s11116-019-10011-z","article-title":"Behavioral Modeling of On-Demand Mobility Services: General Framework and Application to Sustainable Travel Incentives","volume":"46","author":"Xie","year":"2019","journal-title":"Transportation"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"378","DOI":"10.1016\/j.tra.2019.11.022","article-title":"Drivers and Barriers in Adopting Mobility as a Service (MaaS)\u2014A Latent Class Cluster Analysis of Attitudes","volume":"132","author":"Cats","year":"2020","journal-title":"Transp. Res. Part A Policy Pract."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"324","DOI":"10.1080\/19427867.2020.1730025","article-title":"Modeling the Effect of Mobility-as-a-Service on Mode Choice Decisions","volume":"14","author":"Feneri","year":"2022","journal-title":"Transp. Lett."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"485","DOI":"10.1016\/j.tra.2020.09.021","article-title":"MaaS Bundle Design","volume":"141","author":"Reck","year":"2020","journal-title":"Transp. Res. Part A Policy Pract."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"102699","DOI":"10.1016\/j.trc.2020.102699","article-title":"Consumer Preferences for Mobility-as-a-Service (MaaS) in Australia","volume":"117","author":"Vij","year":"2020","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"de Luca, S., Di Pace, R., and Fiori, C. (2021). Adaptive Travel Mode Choice in the Era of Mobility as a Service (MaaS): Literature Review and the Hypermode Mode Choice Paradigm. Models and Technologies for Smart, Sustainable and Safe Transportation Systems, IntechOpen.","DOI":"10.5772\/intechopen.98432"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"103360","DOI":"10.1016\/j.trc.2021.103360","article-title":"The Whole Day Path Planning Problem Incorporating Mode Chains Modeling in the Era of Mobility as a Service","volume":"132","author":"Song","year":"2021","journal-title":"Transp. Res. Part C Emerg. Technol."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"304","DOI":"10.1016\/j.tra.2022.03.020","article-title":"The Influence of Latent Lifestyle on Acceptance of Mobility-as-a-Service (MaaS): A Hierarchical Latent Variable and Latent Class Approach","volume":"159","author":"Kim","year":"2022","journal-title":"Transp. Res. Part A Policy Pract."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/j.tra.2022.04.013","article-title":"Consumer Preferences for Operator Collaboration in Intra- and Intercity Transport Ecosystems: Institutionalising Platforms to Facilitate MaaS 2.0","volume":"160","author":"Bushell","year":"2022","journal-title":"Transp. Res. Part A Policy Pract."},{"key":"ref_30","unstructured":"Vitetta, A., Rindone, C., Musolino, G., and Vitale, A. (2022). Indagine Pilota Su Scenari Mobility As a Service (MaaS) Nello Stretto Di Messina. LaborEst, 50\u201356."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"6518329","DOI":"10.1155\/2018\/6518329","article-title":"Passenger Mobility in a Discontinuous Space: Modelling Access\/Egress to Maritime Barrier in a Case Study","volume":"2018","author":"Birgillito","year":"2018","journal-title":"J. Adv. Transp."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Russo, F., and Chil\u00e0, G. (2010, January 26). A Sequential Dynamic Choice Model to Simulate Demand in Evacuation Conditions. Proceedings of the 7th International Conference on Computer Simulation in Risk Analysis and Hazard Mitigation, Algarve, Portugal.","DOI":"10.2495\/RISK100371"},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Panuccio, P. (2019). Smart Planning: From City to Territorial System. Sustainability, 11.","DOI":"10.3390\/su11247184"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Bisello, A., Vettorato, D., Laconte, P., and Costa, S. (2018). A Review Methodology of Sustainable Urban Mobility Plans: Objectives and Actions to Promote Cycling and Pedestrian Mobility. Smart and Sustainable Planning for Cities and Regions, Springer International Publishing. Green Energy and Technology.","DOI":"10.1007\/978-3-319-75774-2"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Russo, F., and Rindone, C. (2021). Regional Transport Plans: From Direction Role Denied to Common Rules Identified. Sustainability, 13.","DOI":"10.3390\/su13169052"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"229","DOI":"10.1007\/BF00133443","article-title":"The Structure of Random Utility Models","volume":"8","author":"Manski","year":"1977","journal-title":"Theor. Decis."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"577","DOI":"10.1016\/S0191-2615(00)00041-2","article-title":"A Model of Route Perception in Urban Road Networks","volume":"36","author":"Cascetta","year":"2002","journal-title":"Transp. Res. Part B Methodol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1126","DOI":"10.1016\/j.tre.2011.04.007","article-title":"Random and Fuzzy Utility Models for Road Route Choice","volume":"47","author":"Quattrone","year":"2011","journal-title":"Transp. Res. Part E Logist. Transp. Rev."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.tbs.2015.07.003","article-title":"Quantum Utility Model for Route Choice in Transport Systems","volume":"3","author":"Vitetta","year":"2016","journal-title":"Travel Behav. Soc."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"100290","DOI":"10.1016\/j.jocm.2021.100290","article-title":"Quantum Utility and Random Utility Model for Path Choice Modelling: Specification and Aggregate Calibration from Traffic Counts","volume":"40","author":"Vitetta","year":"2021","journal-title":"J. Choice Model."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"2499282","DOI":"10.1155\/2022\/2499282","article-title":"Sentiment Analysis Models with Bayesian Approach: A Bike Preference Application in Metropolitan Cities","volume":"2022","author":"Vitetta","year":"2022","journal-title":"J. Adv. Transp."},{"key":"ref_42","unstructured":"Train, K. (2009). Discrete Choice Methods with Simulation. Cambridge University Press. [2nd ed.]."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.trpro.2015.01.015","article-title":"Individual Behavioural Models for Personal Transit Pre-Trip Planners","volume":"5","author":"Nuzzolo","year":"2015","journal-title":"Transp. Res. Procedia"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"8797328","DOI":"10.1155\/2018\/8797328","article-title":"A Subjective Optimal Strategy for Transit Simulation Models","volume":"2018","author":"Nuzzolo","year":"2018","journal-title":"J. Adv. Transp."},{"key":"ref_45","doi-asserted-by":"crossref","unstructured":"Croce, A.I., Musolino, G., Rindone, C., and Vitetta, A. (2019). Transport System Models and Big Data: Zoning and Graph Building with Traditional Surveys, FCD and GIS. IJGI, 8.","DOI":"10.3390\/ijgi8040187"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Kurauchi, F., and Schm\u00f6cker, J.-D. (2016). Public Transport Planning with Smart Card Data, CRC Press. [1st ed.].","DOI":"10.1201\/9781315370408"},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1111\/rsp3.12128","article-title":"Characteristics and Effects of Twin Cities Integration: The Case of Reggio Calabria and Messina, \u2018Walled Cities\u2019 in Southern Italy","volume":"10","author":"Musolino","year":"2018","journal-title":"Reg. Sci. Policy Pract."}],"container-title":["Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2078-2489\/13\/8\/376\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T00:04:35Z","timestamp":1760141075000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2078-2489\/13\/8\/376"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,5]]},"references-count":47,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2022,8]]}},"alternative-id":["info13080376"],"URL":"https:\/\/doi.org\/10.3390\/info13080376","relation":{},"ISSN":["2078-2489"],"issn-type":[{"value":"2078-2489","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,8,5]]}}}