Mobility-as-a-Service Workshop

15TH INTERNATIONAL CONFERENCE ON TRAVEL BEHAVIOR RESEARCH

MaaS SessionsTuesdayMonday

Wednesday

MaaS Workshops - Process1st Workshop• General discussion on the MaaS concept

2nd 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

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 car-

ownership 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?

Research Proposal - 1Comparison 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?

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?

Research proposal - 3Designing 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?

Thank you to the students assisted with the workshop!

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

• 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

4A. Mobility as a Service - Sharing

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

• 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 busservices

• Bus passenger choices after consulting ubiquitous real-time information

7A. Mobility as a Service – Public Transport

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

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

Mobility as a Service

Mobility Service Providers

MaaS Operator

Users

Real Time Information

Booking

Getting on board / Ticket

Payment

Multiservice Journey Planner

User Account

Payment & Ticketing Integration

Information & Planning Integration

Understanding the Impact of MaaS

Strategic Level(Long-term decisions)

Tactical(Travel Patterns)

Operational (Multimodal Network)

Impact

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