15TH INTERNATIONAL CONFERENCE ON TRAVEL BEHAVIOR RESEARCH. Mobility-as-a-Service Workshop

Transcription

1 15TH INTERNATIONAL CONFERENCE ON TRAVEL BEHAVIOR RESEARCH Mobility-as-a-Service Workshop

2 MaaS Sessions Monday Tuesday Wednesday

3 MaaS Workshops - Process 1 st Workshop General discussion on the MaaS concept 2 nd Workshop Review of the papers presented to the MaaS sessions Identification of key words included in the papers: Ridehailing Mobility on demand Public transport Car-sharing Peer-to-peer carsharing Multimodality and Intermodality Key research questions and research proposals

4 Key points of the discussions The role of the public transport authorities Differ across US, EU, and Asia (market-driven and authority-driven development) EU, Finland Transport Code (2018) embraces all transport modes into one unique law, eliminating all specific laws referring to means of transportation. This new law requires to open an API for public and private service providers so that all can be integrated into one seamless travel chain that can be paid by one mobile system and all transport modes can be integrated into one holistic system. The value proposition of MaaS services to the end-users What modes / combination of modes / information / pricing / incentives / including carownership costs (i.e. insurance + maintenance) How to achieve the critical mass in the supply side to offer MaaS products that could compete private-car usage? Transport mode availability varies across cities Incorporate concepts like P2P carsharing, What hinders transport/mobility service providers to collaborate and open ticketing/booking/payment data? New mobility services are around for several years; why we do not have official RP mode choice data?

5 Research Proposal - 1 Comparison of authority- and market-driven cities to identify the impact of these approaches: Modal shift; Congestion; Data sharing / exchange; Economy. How MaaS services could contribute to the sustainability strategies? What fraction of the population should use MaaS services to achieve reduction in congestion?

6 Research Proposal - 2 What is the added value for the transport operators to participate or offer MaaS services? Who owns the data? What incentives can motivate them to join MaaS services? Why some demonstrations that included collaboration of public and private services (first/last mile) were not successful?

7 Research proposal - 3 Designing MaaS products to cater for different population groups needs and sustainability. - What transport mode alternatives could be bundled to offer services that could compete private car usage? - What incentives and persuasive techniques could be included? - What premium are people willing to pay to use such services? - How travel behavior will change under different MaaS products (i.e. PAYG, plans). - Could MaaS products motivate people to experience new mobility services and change their mode choice behavior? - Can MaaS products be subsidized for the low-income population groups?

8 Thank you to the students assisted with the workshop!

9 3A. Mobility as a Service - Fundamentals Investigating the Factors Affecting the Adoption and Frequency of Use of Ridehailing in California: A Latent Classification of Uber/Lyft Users A Framework to Integrate Mode Choice in Design of Mobility-on-Demand Systems To Share or Not to Share: A Best-Worst Analysis of Peer-to-Peer Carsharing in an Autonomous Future Investigating the impacts of mobility-on-demand services and green lifestyle on vehicle transaction decision: A behavioral choice model with latent variables 4A. Mobility as a Service - Sharing Use of Ridehailing Services and Their Impacts on the Use of Other Travel Modes in California Promoting Car-sharing while Suppressing Private Car Usage: Policy Impact Analysis Understanding the Relationships Between Demand for Shared Ride Modes: A Case Study of Shared Systems in Manhattan, NYC Visibility, Utilization & Member Recruitment in Carsharing: A Long-Term Study in Vancouver, Canada Understanding Patterns Associated with Ride-Hailing Users and Their Trips

10 6A. Mobility as a Service - Policies How Attitudes Effect On-Demand Mobility Usage an Example from China Mode Choice Modeling in Small Island Developing States: A Conceptual Framework for Trinidad Using Reward Programs as Public Policy: Insights from a Field Experiment on an Urban Rail Network An integrated dynamic ridesharing dispatch and idle vehicle repositioning strategy on a bimodal transport network 7A. Mobility as a Service Public Transport Understanding the (ir)rationality of public transport travellers Managing Transit Demand with Incentives: BART Perks Modelling activity-travel pattern scheduling problem in multi-modal transit networks with customized bus services Bus passenger choices after consulting ubiquitous real-time information

11 8A. Mobility as a Service - Satisfaction The underlying effect of public transport reliability over users satisfaction Exploring Public Transport User's Satisfaction by Matching Open Data with Smartphone Travel Survey Data Relationship between Customer Satisfaction and Travel Mode Choice Behavior for Public Transportation in the Jakarta Metropolitan Area Transmilenio s users satisfaction: the definition of value with lean thinking approach Impact of weather on public transport users' satisfaction: evidence from Munich 9A. Mobility as a Service Sharing AVs Interest in Private and Shared Autonomous Vehicles: The Role of Millennial-Specific Factors Integrated Mode Choice and Dynamic Traveler Assignment-Simulation Framework to Assess the Impact of a Suburban First-Mile Shared Autonomous Vehicle Fleet Service Modeling the demand for a shared-ride taxi and shuttle services in an organization-based context Shared Autonomous Vehicle Fleet Simulation to Determine Fleet Requirement Using Cellphone Data from Orlando, Florida

12 10A. Mobility as a Service - More sharing From urban mobility practices, strategies and logics of actions to future mobility solutions - an user-centered mixed-methods approach Water-based public transport passenger perceptions and planning factors: A Swedish perspective Investigating adoption behavior of advanced vehicle technologies Agent-based Exploratory Modeling and Analysis of Scenarios for Private and Shared Autonomous Vehicle Use

13 Mobility as a Service Mobility Service Providers MaaS Operator Multiservice Journey Planner Real Time Information Booking Payment Getting on board / Ticket Users Information & Planning Integration Payment & Ticketing Integration User Account

14 Understanding the Impact of MaaS Strategic Level (Long-term decisions) Tactical (Travel Patterns) Operational (Multimodal Network)

15 Discussion Make 4 groups Each group should have a moderator (volunteer) The moderator will undertake one topic 15min discussion on each topic to identify research needed Then change group go to another moderator Each moderator should present the key topics discussed Notes will be collected from each moderator in the end Business Customers/ End-users Technology & Data Policies Impact

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