Data Spaces for Mobility, Tourism, Cities
How are dataspaces transforming our lives?
Fabio Cartolano
FIT
Paola Cossu
FIT

slido.com with #2724181

Nuria de Lama
Sánchez
IDC4EUMariano Blaya-Andreu
IDSA

María Tomás
Forwardkeys

Dimitrios Gkatzoflias
European Commission

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Prof. Dr. Frank KösterDLR

Jonathan Huffstutler
Eona-XHow are dataspaces transforming our lives?
Mobility, tourism and smart cities are three sectors where the interaction to individuals is the
key. Most of the use cases involve people.

Some questions to be answered:• As a hotel owner, how are the dataspaces going to change my business?
• As a citizen, how are the mobility dataspaces going to affect my daily routine?
• As a tourist, how are the tourism dataspaces going to improve my experience?

• As a business owner, what will be the way to onboard my business on a dataspace?
• As a business owner, what can I do today while the dataspaces are being consolidated?
• As a citizen, how smart cities together with dataspaces will make our life easier?
• As an individual, should I be worried about being watched and losing privacy?

• As decision-maker, is this the right time to jump into the dataspaces?
• As an outsider, why dataspaces are not on the media as much as, for example, AI?

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The agenda for today
Time

Agenda15:30

WelcomeMariano Blaya-Andreu, IDSA

15:40

Common European mobility data space
Dimitrios Gkatzoflias, European Commission (DG-MOVE)

15:50

Empowering SMEs in the Tourism Sector to Embrace Data Spaces
María Tomás, Forwardkeys

16:00

GAIA-X 4 Future Mobility - laying foundations for digital transformation
Prof. Dr. Frank Köster, DLR

16:10

Impact assessment in the European Data Space for Smart Communities
Nuria de Lama Sánchez, IDC4EU

16:20

Mobility of people and goods by FIT Consulting
Paola Cossu and Fabio Cartolano, FIT Consulting

16:30

Eona-X – improving mobility for the Olympic Games
Jonathan Huffstutler, Eona-X

16:40

Mini Break & room change, back to the Spectrum room.

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What are your highlights?

slido.com
with #2724181

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Data Spaces for Mobility, Tourism, Cities
Common European Mobility
Data Space

Dimitrios Gkatzoflias
European Commission (DG MOVE)

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mobility data space (EMDS)

6

European Commission
Data Spaces Symposium, March 12-14, 2024

At the crossroads of two EU strategies
Data Strategy

Establish a single market for data.
Enable data sharing and establish fairand clear rules on data use and access.

Sustainable and Smart
Mobility Strategy (SSMS)

Ensure that the EU transport sector is fit
for a clean, digital and modern economy.

→ A common European mobility data space (EMDS)
facilitating access, pooling and sharing of data fromexisting and future transport and mobility data sources.
7

Challenges of mobility data sharing

Reluctance to share data:
security, competition
concerns, lack of trust

Heterogeneity and diversityof stakeholders, transportmodes, data types, etc.

Fragmentation, lack ofaccess and interoperability

EMDS Communication (adopted Nov 29 , 2023)• It outlines the Commission’s proposed way forward for the creation of
a common EMDS, including its objectives, main components,
supporting measures and milestones.
• The Commission is seeking to promote the exchange of information on
this topic, as well as collaboration more generally.
• It invites all relevant actors to take note of the measures set out in thiscommunication.

9

Use cases and their added value for themobility transition ahead
Increasing the efficiency of the logistics sector at EU level

Implementation of urban vehicle access regulations (UVARs)

Boosting cross-border passenger & freight multimodality

Facilitating access to electromobility data at EU level

10

EMDS framework
EU mobility data domains
and initiatives

EMDS technical infrastructureand governance framework(e.g. DTLF, ITS NAPs)

Interlinking layer
Public & private
mobility data ecosystems
and initiatives(e.g. data providers,data users,
marketplaces andservice providers)(e.g. German MDS, Eona-X)

Building
blocksSectoral data spaces(e.g. Green Deal, energy andtourism)

data access/sharing
11

metadata flows

EMDS
participantsStandards

Actions supporting the common European
mobility data space (1/2)
Preparatory action

Deployment action

Technical assistance

Digital Europe Programme

Digital Europe Programme

Connecting Europe Facility

12 months coordination &support action:
PrepDSpace4mobility

36 months deployment
action: deployEMDS

12 months study

Oct 2022-Sept 2023

→Map existing mobility data
ecosystems→Recommend firstcommon building blocks
12

Kick-off Nov 2023
→Deployment of mobility
data sharing use cases
related to traffic andurban mobility
indicators

Kick-off Jan 2024
Followed by a deployment
action in 2025 (TBC)→Focus on the governance,interlinking layer andfurther definition of building
blocks andinteroperability• Building on the Data Spaces Support Centre and SIMPL

Actions supporting the common European
mobility data space (2/2)
Multi-country projects

Proof-of-Concept

Digital Europe Programme

Digital Europe ProgrammeFirst call will be:

6 months PoC- published Feb 13, 2024

Kick-off Jan 2024

- open Feb 29-May 29, 2024

→Focus on how personal data
are managed in the EMDS
framework, through amultimodal use-case→Support the establishment of alasting collaboration structure→Support the deployment ofcross-border use cases indifferent areas

13→Looking for local authorities
and transport operators totest the PoC• Building on the Data Spaces Support Centre and SIMPL

deployEMDS• 45 European partners deploy a functioning
technical infrastructure for the EMDS
• across 9 European cities/regions• addressing use-cases that focus on traffic andurban mobility indicators• SMEs, start-ups and industry are welcome to join
the “Innovation and Scaling group” for collaborationand knowledge sharing• Public authorities can get involved in workshopswith NAPCORE or the Network of Cities managed
by POLIS• do you want to get involved? contact the project
coordinator kirstein@acatech.de14

Mobility and Logistics Data EDIC
European Digital Infrastructure Consortium (EDIC): new mechanism to implement MultiCountry Projects (MCP) created by the Digital Decade Policy Programme 2030
Ongoing preparation of a possible Mobility and Logistics Data EDIC to ensure long term
sustainability of common data infrastructure and promote large scale adoption. Proposed scope:• Allowing the coordination and alignment on common standards among its members.
• support the implementation of cross-border use cases under a coherent approach

Preparation of an application by the Netherlands (host), Austria, Germany, Finland, France
and Spain, closely followed by the EC. Other Member States and organisations showed interest.
Application planned in May 2024.

Next steps• Follow-up on the EMDS Communication• EMDS technical assistance study preliminary deliverables• deployEMDS preliminary deliverables• Define terms of reference for the deployment action of the interlinking layer(Q3-Q4 2024)

16

Thank you
Contacts:
dimitrios.gkatzoflias@ec.europa.eu
gilles.carabin@ec.europa.eu
kristof.almasy@ec.europa.eu© European Union 2020
Unless otherwise noted the reuse of this presentation is authorised under the CC BY 4.0 license. For any use or reproduction of elements that are
not owned by the EU, permission may need to be sought directly from the respective right holders.

17Useful links
European data strategy
https://ec.europa.eu/info/strategy/priorities-2019-2024/europe-fit-digital-age/european-data-strategy_en

Sustainable and smart mobility strategy
https://transport.ec.europa.eu/transport-themes/mobility-strategy_en

DIGITAL Work Programme 2024
Funding & tenders (europa.eu)

Deployment call - Funding and tenders portal
DIGITAL-2022-CLOUD-AI-03-DS-MOBILITY
PrepDSpace4Mobility (mobilitydataspace-csa.eu)

Staff working document on data spaces
https://digital-strategy.ec.europa.eu/en/library/staff-working-document-data-spaces

Consultation – Communication on common European mobility data space
Have your say - creating a common European mobility data spaceData Spaces for Mobility, Tourism, Cities
Empowering SMEs in the Tourism
Sector to Embrace Data Spaces

María Tomás
Forwardkeys

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Data Spaces Symposium
Unite. Innovate. Adopt.
Tourism sector and Data Spaces:
The need to bridge the gap
Maria Tomas, ForwardKeys
13th March 2024

The Data Spaces Support Centre receives funding from the European Union Digital Europe Programme
under grant agreement n° 101083412

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Data Spaces for
13 March 2024
Mobility, Tourism, Cities

Forward Keys brief overview
FK has 15 years experience providing Destinations and Travel Retail companies withproducts and services based on data to predict traveller impact.
FK monitors and predicts air travel, from demand and supply perspectives, gathering, processing andenriching air travel data to provide the most comprehensive vision of the market:

Schedules

Searching

Air Supply

Main Data
partners

Scheduled (andactually flown)
Seat Capacity

Booking

Departing

Air Demand

Flight Searches

Actual Air Reservations and Tickets+ Total Air Market+ Forecasts+ Routes Carbon footprint

29
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Arriving

Staying

In-Destination

Visitors’ movements,
activities and spent*(*) New initiative in progress© ForwardKeys, 2023. All Rights Reserved.

Forward Keys in Data Economy

Customers and partners

30
Restricted Use© ForwardKeys, 2023. All Rights Reserved.

Tourism sector and Data Spaces: The gap
Technical challenges upstream(with data providers)

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Technical challenges downstream(with data consumers)

Diversity of sources and lack ofindustry standards.

Huge effort is required indata cleansing and quality
control.

Data produced for transactional
purposes and not fit foranalytics purposes.

Low data and tech-savviness of data
consumer.

Low maturity of data
providers in data sharing.

Strict constraints due to compliance vs.
regulations, Intellectual Property
ownership and business legal limitations

Tourism sector and Data Spaces: The gap
Tourism companies challgenes(>99% SMEs)
Tourism companies are hardly able toevaluate the intrinsec value of Data
Spaces and the required investment(technical, economic, knowledge)

Data Management as a Product is not areality in organizations, especially inthe ones of Tourism sector

Tourism SME’s generally perceives Data
Spaces as something disonnected of theirbusinesses

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Data Spaces challenges

Gaia-X Trust Framework defines an advanced
onboarding process. However, it is still WiP and inconstant evolution + not supported by digital tools.
IDSA is developing the Data Space Protocol, being
adopted as “de facto” standard by the Connectors’
developers. But currently the process is complex
and cannot be done by non-technical experts.
Although the European Data Strategy, funding
programmes, frameworks and initiatives are
already in place, there are no real success stories yet
to showcase in the Tourism sector.

Tourism sector and Data Spaces: The bridge

TOURISMCOMPANIES

1.- Services to help data flow outside of the organisations

2.- Services to help create high-quality and interoperable
Data Products
3.- Services to facilitate the Onboarding Process
4.- Train companies and give them autonomy with easyto-use tools
5.- Demonstrate it with real use cases

Restricted UseConclusions: ForwardKeys’ perspective
The tourism sector has vast amounts of valuable data (mobility of travellers, spent,reservations, type of product/services consumed…)
The tourism sector is very atomized, so bilateral data exchanges cannot solve most of
the Business questions.
Data Spaces are the perfect ecosystem to see the benefits of data sharing and improve
competitiveness in Tourism.

Currently, there is a gap that prevents tourism companies from embracing Data Spaces:
Technical barriers, knowledge and organisational challenges and Data Spaces innerchallenges
Now that the framework and rules are in place, there is a need for a set of tools andservices to facilitate tourism companies to join Data Spaces, starting from managing
Data as as high-quality Products in the organisations.

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Data Spaces Symposium
Unite. Innovate. Adopt.
Tourism sector and Data Spaces:
The need to bridge the gap
Maria Tomas, ForwardKeys
Innovation Manager

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Many thanks for your13attention!
March 2024

Data Spaces for Mobility, Tourism, Cities
GAIA-X 4 Future Mobility - laying
foundations for digital transformation

Prof. Dr. Frank KösterDLR

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gaia-x 4 future mobility & base-x
Q1/2024
Prof. Dr. Frank Köster & Maximilian StäblerDLR Institute for AI Safety & Security

01 | Family of Projects

Family of Projects – Relation to other Domains and Initiatives
Agriculture

EnergyEnergyFinanceFinance

Q1/2024 – Prof. Dr. Frank Köster & Maximilian Stäbler

Geoinformation Health
HealthGeoinformation

Industry
4.0/SME

Mobility

PublicSectorSmart City/
RegionSmart
LivingPlan/Build/Operate

39

Family of Projects – Synergies by DesignUse-cases on Different
System Levels
Node, Corridor and Vehicle…

Backend
SystemTraffic
Network

Component

Vehicle as Edge Device
Embedded Gaia-X
DLT-Network
Traffic Infrastructure Mgmt.
Smart Parking
ZoningVehicle Data Collection

Sensor Validation
Bullwhip Mitigation
Digital Twin based Predictive Maintenance

Manuf. of Vehicels + Components…

…

Q1/2024 – Prof. Dr. Frank Köster & Maximilian Stäbler

Subsystem

RO of Vehicles
RO of Fleets
Smart Managed Public Transport Fleet
Smart Managed Freight Fleet

Vehicle and Components…

Tools and Tool Chains

Vehicle System

Safe/Secure Cooperation of Automated Vehicles
Connected and Safe/Secure – Rescue Corridor

Traffic System, City and Vehicle…

Traffic Systems… Components, User

Traffic Nodes /
Edges

…

Automated…
OpticalDigital Twin – Camera… SIEM
Scenario Identification
40

Family of Projects – Synergies by Design and Joint Development Activities
Use-cases on Different
System Levels

Generalization and harmonizationof designs

Making benefit
of synergies

Foundation for re-usable
components

Foundation for systeminnovation

Manuf. of Vehicels + Components…

Tools and Tool Chains

Q1/2024 – Prof. Dr. Frank Köster & Maximilian Stäbler

Joint development activities
and jointly
supported open
and freely available standards
as well as open
source developments

Shared designprinciples andreusablecomponents/
services

Practically relevant
design principles,standards andfunctional
components/
services

GovernanceTraffic Systems… Components, User

Semantic Model

Vehicle and Components…

Generic Components/Services

Traffic System, City and Vehicle…

Application-Specific Components/Services

Node, Corridor and Vehicle…

41

02 | base-x

base-x Architecture
Scalable Mobility Solutions & Foundation for System Innovation
Data Space for a City
− city deploys Base-X-layer + domain-specific semantic model− city selects applications from GX4FM + external sources
Data Spaces for many Cities− further cities deploy Base-X-layer + domain-specific semantic model− cities are in one federated/meshed data space− city selects applications from GX4FM + external sources

Base-X
PublicTra…

RoadConInfraCon

Federated/Meshed Data Space of Cities + other Data Spaces− (cross-sectoral) federated/meshed data space

Base-X
Parking

Base-X
Parking
Charging

PublicTra…

PublicTra…

Charging

RoadConInfraCon

RoadConInfraCon
FleetMgmt

Other
other
Data
Data
SpacesSpace
sBase-X
PublicTra…

InfraCon
PublicTra
Charging

RoadConInfraCon

Q1/2024 – Prof. Dr. Frank Köster & Maximilian Stäbler

Parking
RoadCon…

App-Store

FleetMgmt

base-x Architecture
Scalable Mobility Solutions & Foundation for System Innovation
First Use-Cases− Road Damage Detection: Utilizing vehicle data (e.g. service vehicles
in cities but also privately owned cars) to automatically detect anddocument road infrastructure status as well as potholes and makethe data available for (predictive) maintenance.
Base-X− Flexible Bus Stop Usage: Involving selection and release of stops in a
web application, a dashboard for visualizing stop attractiveness, andthe creation of booking offers, available for third-party users.
− OD Mapper: This aims to automatically determine areas and streets
where automated vehicles can drive based on various map data
sources and considering vehicle characteristics described bystandards derived from the field of verification and validation of
automated vehicles.

PublicTra…

RoadConInfraCon

Base-X
Parking

Base-X
Parking
Charging

PublicTra…

PublicTra…

Charging

RoadConInfraCon

RoadConInfraCon
FleetMgmt− Intermodal Traveling: Demonstrating the combination of various
mobility modes in Hamburg, highlighting the synergies between local
public transport, German rail, e-scooters, and car-sharing services.

Other
other
Data
Data
SpacesSpace
sBase-X
PublicTra…

InfraCon
PublicTra
Charging

RoadConInfraCon

Q1/2024 – Prof. Dr. Frank Köster & Maximilian Stäbler

Parking
RoadCon…

App-Store

FleetMgmt

base-x Architecture
Scalable Mobility Solutions & Foundation for System Innovation
First Use-Cases− Road Damage Detection: Utilizing vehicle data (e.g. service vehicles
inProvide
cities but
also privately
cars)
to automatically
andthehigherquality ofowned
the road
infrastructure
whiledetect
lowering
document
roadreducing
infrastructure
statusas wellas potholes
and makecosts andnegative
effectsof roadconstruction
works
the data availablefor (predictive)
maintenance.
regardinge.g. congestions
and traffic safety.

Base-X− Flexible Bus Stop Usage: Involving selection and release of stops in a
webapplication,
a dashboard
for likevisualizing
attractiveness,andOn-streetstops canbe reduced,
e.g. forstop
deliveryvehicles andride
thecreationof booking
offers,fortraffic
third-party
users.
sharingofferings,
which
has aavailable
impact on
efficiency
and safety.
− OD Mapper: This aims to automatically determine areas and streets
where automated vehicles can drive based on various map data
sourcesand considering
vehiclecharacteristics
described
Supporte.g. the quickroll-outof automatedvehicles by
and theirstandards
derivedinfrom
the fieldof verificationplanningand validationof
integration
an holistic
traffic/mobility
approach.
automated vehicles.

PublicTra…

RoadConInfraCon

Base-X
Parking

Base-X
Parking
Charging

PublicTra…

PublicTra…

Charging

RoadConInfraCon

RoadConInfraCon
FleetMgmt− Intermodal Traveling: Demonstrating the combination of various
mobility modes in Hamburg, highlighting the synergies between local
The transport,
comfort ofGerman
passengers
be raisedand
andcar-sharing
new (active)
mobility
publicrail,cane-scooters,
services.
modes can be offered in relation with the traveler needs.

Other
other
Data
Data
SpacesSpace
sBase-X
PublicTra…

InfraCon
PublicTra
Charging

RoadConInfraCon

Q1/2024 – Prof. Dr. Frank Köster & Maximilian Stäbler

Parking
RoadCon…

App-Store

FleetMgmt

03 | Current Participants

Current Participants – Network

Q1/2024 – Prof. Dr. Frank Köster & Maximilian Stäbler

47

The family of projects consists ofContact for Gaia-X 4 Future Mobility
Prof. Dr. Frank KösterDLR Institute for AI Safety and SecurityFrank.Koester@dlr.de

Gaia-X 4 Future Mobility
Coordinated by the DLR Institutefor AI Safety and Security

Data Spaces Symposium
Data spaces for mobility, tourism, cities: How data spaces aretransforming our lives

Impact assessment in the European Data
Space for Smart Communities
13th March 2024, Darmstadt
Nuria de Lama
Consulting Director
IDC, DS4SSCC-DEPYou will get insights about…
••

Page 50

A bit of context of the European Data Space for Smart
Communities
Impact Assessment: what and how?

Data is a prominent ingredient in major predictions for Smart Cities andCommunities•

Prediction 1: By 2023, 60% of cities and communities will have been impacted
by the global energy and climate crisis, despite some efforts in climate tracking,climate intelligence, and green procurement.

•

Prediction 4: By 2024, 25% of states, provinces, and local governments will
create platforms to enable data sharing between government, the private
sector, and users to improve processes and the user experience.

•

Prediction 6: By 2025, 75% of large cities and communities will form industry
ecosystems with IT, architectural, engineering, and real estate firms to sharedata, applications, and expertise to address ESG issues.

•

Prediction 9: Threatened by water scarcity and extreme weather, by 2027, 40%of large cities will have digital twins of their water resources to manage watersupply, quality, resilience, and behavioral change.

•

Prediction 10: By 2027, 20% of city products and services will be delivered
using metaverse or augmented reality solutions, transforming services delivery,planning and simulation, and constituent interactions.
IDC FutureScape: Worldwide Smart Cities
and Communities 2023. Top Predictions

Impact, Ethics, Growth Strategy & Sustainability
Page 51

Mainstream ESG/ IT for sustainability: Environmental, social and governance•Collection/reporting of CO2 emissions:• 42% companies are not doing anything• 43% collect scope 1 data (internal sources of CO2

•
•

•
•

emissions) → only 28% report data
7% collect scope 2 data → 7% collect and report data
From those that do not collect and report data on CO2emissions, 73% say this is due to a lack of access toenough quality data to accurately assess and report on
emissions
18% claim lack of quality data•
Carbon neutral= scope 1 + scope 2 (internal andenergy supplier sources of emissions)Net-zero= scope 1 + scope 2 + scope 3 (data sources
Source: Can IT Make It Easy to Be Green? — Hospitality and Travel Turn tooutside the company)
Technology Investments to Achieve Sustainability Initiatives (IDC, 2023)
Page 52

What is the European Data Space for Smart Communities?
• From Preparatory Action towards Deployment• Both actions co-funded by the Digital Europe programme• The overarching aim is:• To create a large-scale cross-sectorial data space for smart communities in the
EU…
• … and to advance its implementation to support policy priorities of cities andcommunities within the EU…
• … by validating the governance and technical blueprint developed by the
preparatory action

Page 53

Website update - inventory.ds4sscc.eu/

Page 54

CALL FOR PILOTS
These pilots will implement the governance and technical blueprint established by theEuropean data space for smart communities preparatory action (DS4SSCC).
Through the piloting, city ecosystems can expect to:Enter into an
Be placed in aforefront ofexpansive network ofinnovative smart
Europeancommunitycommunities, experts,
development inand policymakers;
Europe;Receive support andBe recognized asleading examples of guidance in aligning withsustainable andthe DS4SSCC blueprint
smart communities
and integrating with
development;
broader European data
ecosystems;

Directly contribute to
the shaping ofEurope's green anddigital future.

Impact Assessment. Challenges and Considerations•••

Lack of information and empirical evidence on impact due to several factors:• This kind of information is not always documented in publicly available documents• Data on the impact of these initiatives is not systematically collected.
• Productivity gains from technological innovation occur with a time lag (in fact, most data spaces
talk about expected outcomes rather than realized outcomes due to the current maturity of data
spaces-most in pilot phase)
Impact Assessment should follow an iterative approach and measure impact of both: i) the data space
and ii) the pilots
Considerations/factors:• Impact through the whole life cycle (acknowledging the evolution of the data space)• Complex and dynamic stakeholder ecosystem• Evolving external context

Page 56

Impact Assessment. Approach

Page 57•

Theory of Change + Design Thinking• Casual chain linking inputs, activities, outputs, outcomes and impacts• Context of the initiative (economic, social, political and environmental conditions
influencing the casual chain)•This enables stakeholders to map out and connect data space interventions with expected longterm goals in order to enable:• Better planning by understanding how change happens throughout the entire process,from the launch of pilots to the achievement of long-term goals.
• Better evaluation by measuring progress of the DS4SSCC initiatives throughout the fullcycle

D4SSCC Impact Assessment Framework. Components
•
•

•

•
•

DS4SSCC-DEP; March 2024

Page 58

Impacts: long-term effects produced as aresult of an intervention
An outcome is a likely or achieved shortmedium term effect of an intervention's
outputs
Outputs are the products, goods andservices which result from implementedchange activities including new policies,
legislation, technological solutions,infrastructure.
Inputs are the required set of resources
needed for a transformation process
The context refers to specific features anddimensions to drive transformation andimpact through data space use cases andinitiatives

Application of the Impact Assessment Framework

Page 59

Impact Assessment Framework. Preliminary indicators/KPIs•

Trust andtransparency

Dataavailability
and usability

Userexperience

Ecosystem
engagement

•
•
•
•
•
•

Compliance with cybersecurity regulation
Compliance with digital identity regulation
Adoption of international cybersecurity standards
Compliance with GDPR
Compliance with EU data regulation (e.g., Data Act, Data
Governance Act, AI Act, Open Data Directive)
Adoption of ethics policy

•
•
•
•
•
•
•

Number of datasets% distribution of datasets across smart city domains
Compliance with MIMs
Compliance with Interoperable Europe Act
Compliance with INSPIRE Directive
Number of downloads / views / API calls% distribution of downloads / views / API calls across datasets

•
•
•
•
•
•
•
•

Compliance with accessibility regulation
Adoption of international accessibility standards
User satisfaction score
Omni-channel experience
Number of data users
Number of data providers
Number of data intermediaries% distribution of users/providers/intermediaries acrosscountries
Participation in communication and dissemination events
Social media engagement
Availability of analytical dashboards visual
Number of third-party analytical and AI applications developed
using DS4SSCC datasets% distribution of third-party applications across smart citydomains••••

Intelligence

Page 60•

OUTPUT KPIS•…

OUTCOME KPIS
Citizencentricity

•
•
•
•
•
•

Liveability••

Citizen satisfaction
Level of personalization and proactivity of smart cities services
enabled by the data space
Number of datasets available on the city open data portal
Number of downloads / views / API calls out of the city open data
portalAvailability and downloads of data and insights on cities andcommunities’ safety and security
Availability and downloads of data and insights on cities andcommunities’ environmental sustainability
Availability and downloads of data and insights on cities andcommunities’ sustainable mobility
Availability and downloads of data and insights on cities andcommunities’ social inclusion

Operational
efficiency•••

Employee productivity
Responsiveness to citizen requests
Time to market of new services

Regulatorycompliance

•
•
•
•
•
•

Compliance with European Data Act
Compliance with European Data Governance Act
Compliance with Open Data Directive
Compliance with Interoperable Europe Act
Compliance with Inspire Directive
Compliance with GDPR••

Number of SMEs involved in the Data space
Number of new products and services launched based on the
Data space dataset
Type of skills nurtured through the dataspace

Economicdevelopment•

Social Media

Website

•
•
•
•
•
•

Page 61

Project information
News, events, Press
releases & Publications
Open Calls
PilotsStakeholder Forum
Contact information &Newsletter

•
•
•
•
•
•

Project News & Updates
Open Call announcement& updates
Pilot updates
Events announcements
Stakeholder Forum
Updates
Project collaborations

Youtube•••Stakeholder Forummeetings
Online Workshops
Stakeholder Engagement@DS4SSCC

Data Spaces for Mobility, Tourism, Cities
Mobility of people and goods by FIT
Consulting

Paola Cossu, Fabio Cartolano
FIT Consulting

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The Data Spaces Support Centre receives funding from the European Union Digital Europe Programme
under grant agreement n° 101083412

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Restricted Use

13 cities and regions committed in demonstrating and adopting
23 Physical Internet-like-zero-emission urban logistics solutions
Showcase replicability of >15 implementation cases
Enable >50 cities and business players
Engage >50 collaborating urban logistics communities
Citizens’ participation >1000 people actively involved•••

Pooling resources making urban space well managed
and equally accessible
New urban warehouses concepts and «proximity
logistics»
Dynamic decision-making

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DISCOCURB - Mixed use and dynamic streets space management - Smart and flexible use of curb
side, for parking slots, pick up points and network management
DISCOPROXI - Shared Lands - Urban corners or lockers for nearby deliveries and omnichannel
shipments, to optimise multiple collection and delivery solutions

DISCOESTATE - Multi-purpose, flexible and temporary use of building space Retrofitting building space for multi-tenant and temporary logistics use and enhance thereliability of last mile deliveries.
DISCOBAY - Multimodal bays - Mutualised and multimodal (e.g., rail/waterborne) distribution
centres pooling green last mile delivery
DISCOLLECTION - Smart data collection methods - Advanced access control and real time routing for
optimised and prioritized, incentivised and dynamic access permission enabling smart network
management upon priorities and functional areas.
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DISCOCURB - HELSINKI
Goal: (i) provide real-time data about the availability of loading/unloading zones andparking spots; (ii) explores the implementation of a dynamic low emission zone, this ‘before
and after’ study will focus on how emission restrictions affect delivery routes and vehicle
usage

Steps:

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Assessment of climate-resilient sensor technologies•

Careful selection of strategic areas for sensor installation, ensuring alignment with low
emission zones and dynamic curb management needs•

Real-time insights into loading zone and parking spot availability for logistics operators anddrivers will be provided•

Operational testing of curb spaces for multiple functions

DISCOCURB - Mixed use and dynamic streets space management - Smart and flexible use of curb
side, for parking slots, pick up points and network management
DISCOPROXI - Shared Lands - Urban corners or lockers for nearby deliveries and omnichannel
shipments, to optimise multiple collection and delivery solutions

DISCOESTATE - Multi-purpose, flexible and temporary use of building space Retrofitting building space for multi-tenant and temporary logistics use and enhance thereliability of last mile deliveries.
DISCOBAY - Multimodal bays - Mutualised and multimodal (e.g., rail/waterborne) distribution
centres pooling green last mile delivery
DISCOLLECTION - Smart data collection methods - Advanced access control and real time routing for
optimised and prioritized, incentivised and dynamic access permission enabling smart network
management upon priorities and functional areas.
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DISCOPROXI - GHENT
Goal: ensure smooth delivery paths, avoiding surprises like restricted zones, while also
promoting green/sustainable last-mile operations with data-driven arguments

Steps:

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Define the supply of green last-mile operators and ensure the availability of their data,
whether it's real or simulated•

The Urban access control (UAC) system will utilize this information to offer pre-routing
advice and on-route adjustments to delivery operators, aligning with the city's goal of
reducing traffic and emissions in the city center•

UAC will calculate the most efficient delivery routes and propose sustainable alternatives

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Data Spaces Symposium
thanks for your attention!

Paola CossuCEOFIT Consulting

cossu@fitconsulting.it

The Data Spaces Support Centre receives funding from the European Union Digital Europe Programme
under grant agreement n° 101083412

The Data Spaces Support Centre receives funding from the European Union Digital Europe Programme
under grant agreement n° 101083412

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Fabio Cartolano
Managing Director
FIT Consulting

cartolano@fitconsulting.it

Data Spaces for Mobility, Tourism, Cities
Mobility of people and goods by FIT
Consulting

Jonathan Huffstutler

Eona-X – improving mobility for the
Olympic Games

Restricted UseHow are dataspaces
transforming our lives?

improving mobility for
the Olympic Games

Our Members

How are dataspaces
transforming our lives?

improving mobility for
the Olympic Games

18 current use cases
6 operational from 2024
The Paris 2024 Olympics an accelerator for EONA-X

Flow
management
Digital twin

Example N°1

Access / Mobility

Security

Services

Applications dedispatch

Collaboration withauthorities

Fluidification of PRM
stay

Example N°2

Flow management and high attendance
JOP Paris 2024
Real-time feedback of each stage of thejourney on the dashboard :• Name of supported delegation• Number and type of accreditation• Type of route (PRM/non-PRM)• Distance/time display• Course status alert⚬ Position at border control⚬ Accreditation position⚬ Luggage position⚬ Position exit
⚬ Positon pick-up zone
⚬ departure from the airport⚬ View the journey of the different
delegations⚬ View traffic to destination

Example N° 1

Multiple sources of data are consumed by the digital twin from
Eona-X DataspaceBetter efficiency of
existing
infrastructure

Example N° 1

Digital Twina simulation digital twin,allowing a predictive vision ofeach journey in a context ofheavy traffic. Harnessing thepower of AI simulation
technology to ensure an
optimal experience for eachdelegation arriving at the
airport for the Paris 2024
Olympic Games.

Silver medal prize at
Data & AI Night 2024

Management of vehicle dispatch(city side)
Management of the vehicle fleet in the waiting area
towards the pick-up locations
Use of a solution during the JOP Paris 2024 that canpotentially be used as a legacy for the management ofshared mobility vehicles (touring coaches, taxis, VTC,
etc.)
Bus/truck rearbase

BUS IDF Mobility

Truck/
Logistics
Equipment

Example N° 2

How are dataspaces
transforming our lives?

improving mobility for
the Olympic Games

Example N° 2

Authorities

Powering a vehicle fleet management
application via Eona-X

How are dataspaces
transforming our lives?

improving mobiility for
the Olympic Games

Succeed in the Olympic
Games

Welcoming new members

Service(s) around data
quality

Method for researchingeconomically viable use cases

Active participationin EU Projects

Conditions for making company
data available for AI training
purposes

Supporting cross-borderuse cases (EDIC)Work on interoperability withother Data Spaces

Thank You !

Stay tuned
Follow our news...
@Eona-x

Highlights from the session "Data spaces for mobility, tourism,
cities: How data spaces are transforming our lives?"ⓘ Start presenting to display the poll results on this slide.

Data Spaces for Mobility, Tourism, Cities
Q&A

Participants can sendquestionsslido.com with
#2724181
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