Abstract

AbstractThis chapter aims to describe the role of innovation and digital solutions in facing the mobility needs of the rural areas and tourist destinations and, at the same time, to discuss the problems and conditions for their use in the provision of the different mobility and transport services. Innovation in the mobility provision chain is analysed in relation to the relevant service elements (schemes, planning, programming, evaluation and support) in order to clarify that innovation does not automatically mean digital solutions. An overview of the emerging trends in digital solutions is provided, focusing on the Mobility as a Service (MaaS) concept and mobile applications. For the APP, market-specific considerations are developed on the different roles and typologies, making a classification for understanding current Mobility APP “Jungle”. Moreover, the concept of Shared Use Mobility Agency (SUMA) is presented. SUMA aims to integrate smart mobility services under the concept of MaaS in order to answer to the mobility needs of residents and tourists acting on the demand and providing coordinated collective and ridesharing transport services. SUMA could be considered an “innovative” approach mixing advanced digital architecture and shared mobility schemes with the relevant organization, operation and business elements. Section 5 presents the SUMA implementation in Elba island (Regione Toscana-Italy), within CIVITAS DESTINATIONS project underlying the specifications of the platform and APP. Finally, besides the specific recommendations provided in each section, key recommendations for Mobility Authority and Transport Operators are spotlighted.

Highlights

  • Mobility demand is becoming increasingly flexible in terms of users’ segmentation and needs, transport mode, travel time

  • When the implementation phase moved from early adopters to a more mature status, it has been found that Public Authorities and Mobility Operators need to take the leadership of Mobility as a Service (MaaS) initiative as they are the main data provider

  • The COVID-19 affected the possibility to carry out an extended and deeper test of the platform and Agency functionalities both from the specific residents’ groups and by the different tourists available to leave the car at the hotel and to use the different mobility options integrated by the Public Transport (PT) services offered by the Shared Use Mobility Agency (SUMA)

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Summary

Introduction

Mobility demand is becoming increasingly flexible in terms of users’ segmentation and needs (both residents and tourists), transport mode, travel time. It is hard to provide Public Transport (PT) services that are strictly tailored to the mobility needs of the various user groups (including the tourists) as demonstrated by the low use rate of PT services. COVID-19 pandemic has added other trends affecting the demand: during the lockdown, mobility has been reduced to minimal activity and the prospects for recovery of user demand remain uncertain, with first data gathered in the Post-COVID period demonstrating a very slow growth This can result in an excessive financial burden on traditionally lower demand services. The COVID-19, has hugely impacted the transport sector with the risk of “new rise” of private car use provoking new needs and other different options at the level of tourist destinations like the following ones:.

Mobility Demand and Transport Schemes
Innovation and Digital Solutions
Lack of Integration of Mobility Services
Last Decade Digital Solutions
Development of Mobile Technologies
Open Data/Standardization
MaaS (Mobility as a Service)
Concept of Shared Use Mobility Agency
Key Role of Mobile APP
APPs Jungle
Exposing Information Services to the End-Users (CA)
Exposing Information and Providing Access to a Wider Set of Services (CB)
Integrating Operators Services, Innovative Functionalities (CC)
The Elba Shared Mobility Agency
Reference Context and Users’ Needs Analysis
The Specifications of the Agency Platform
Use Cases
The Agency Implementation and Business Model
First Results
Conclusions and Recommendations

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