BE-GOOD is a pioneering project aiming to unlock, re-use and extract value from Public Sector Information (PSI) to develop innovative data-driven services in the area of infrastructure & environment. BE-GOOD’s main outputs: 10 novel commercial PSI-based services prototyped operationally, with the aim to commercialise 5. Examples: applications, visualisations, software, algorithms for traffic management, air and water quality monitoring, infrastructure maintenance planning. http://www.nweurope.eu/begood

1. BE-GOOD Challenges
Smart waste water information Enhance area potentials
API Healthiest Route Vital assets
Continuity in traffic flows Predictive maintenance roads
Open up permit data Safer roads
Waste water tracing Data 4 organisational change
Rate my bus stop
Delfland, VMM, Orléans Glasgow, Orléans, RWS
VMM, Loiret, Orléans, Dublin,
Delfland, RWS
RWS, Orléans, Loiret
Waste water management Smart Living
Transport & Mobility Infrastructure maintenance

2. 2016 2017 2018 2019 2020
NL
BE
FR
IE
UK
LU
Summary
Budget
Map
Partners
Countries
Timeline
Contact details
BE-GOOD is a pioneering project
aiming to unlock, re-use and
extract value from Public Sector
Information (PSI) to develop
innovative data-driven services
in the area of infrastructure &
environment.
BE-GOOD’s main outputs: 10
novel commercial PSI-based
services prototyped operationally,
with the aim to commercialise 5.
Examples: applications,
visualisations, software, algorithms
for traffic management, air
and water quality monitoring,
infrastructure maintenance
planning.
Total budget: € 6.45 m
EU funding: € 3.87 m
Lead partner organisation:
Ministerie van Infrastructuur &
Milieu - Rijkswaterstaat
Partner organisations:
* Vlaamse Milieumaatschappij
* Orléans Métropole
* Départemental du Loiret
* Comhairle Cathrach Bhaile Átha
Cliath (Dublin City Council)
* Glasgow City Council
* Luxembourg Institute of Science
and Technology
*Hoogheemraadschap van
Delfland
Natalie Oonk - Rijkswaterstaat
E: natalie.oonk@rws.nl
Key Information

3. Q4 Q1 Q2 Q3 Q4
EvaluationFirst Group Second Group
Data 4 Oganisational Change
Safer Roads
Enhance Area Potentials
Rate my Bus Stop
API Healthiest Route
Continuity in Traffic Flow
Smart Waste Water Information
Vital Assests
Waste Water Tracing
Predictive Maintenance of Roads
Open up Permit Data
WP T2 group 1 & group 2

4. 5- Transnational Twinning
BE-GOOD partners or members of
their organisations who envisage
a similar use or alternative uses
for such a system of enforcement,
monitoring and reporting.
8- Targeted Public
Authority Staff, Members of the
Public and the Beneficiaries are
citizens of the city who will benefit
from an improved and safer
environment.
Open Up Permit Data
2- Aim
7- Planning and realisation
4- Need
3- Context
1- Issue
Q4 2016: Challenge Description;
Market Consultation; API sign off
Q1 2017: Procurement process
Q2 - Q3 2017: Development
Open data platform is
required to open up initial
permit data to enable the
development of an APP.
Provide the local police with an
APP that can be used to confirm
if a vehicle that is in the category
has a valid permit for enforcement.
HGVs are not permitted to enter
the restricted area without a
permit and the APP will assist with
enforcement during the time of
operation.
Develop an application that will
assist An Garda Siochána when
enforcing the HGV management
strategy and allow members of
the public to verify and report on
violations, empowering the citizen
to assist in non compliance of the
HGV strategy and enhance the
environment and safety of the city.
6- Necessary data
Currently there is no formal
process for An Garda Siochána
(the enforcing authority) or for
members of the public to verify or
report heavy good vehicles (GHV)
infringements.

5. 1- Issue
Currently there is no way for Public
Transport (PT) Users to engage
with transport providers that
enables users to provide feedback
on the performance of their stop
while also receiving information
on the optimal stop choice in their
areas.
8- Targeted Public
5- Transnational Twinning
BE-GOOD partners or members of
their organisations who see a use
for such a system of reporting.
Public Transport Users & Public
Transport Providers.
Rate my Bus Stop
2- Aim
6- Necessary data
7- Planning and realisation
4- Need
3- Context
Q3 2016: Start Date
Q2 2017: Procurement
The data to enable development
is open and available through an
API.
Specific performance analysis of
PT stops and inform users of their
stop performance. Enhance PT
and aim to increase modal split.
The system will empower PT users
during their journey by offering
them a means by which they can
provide feedback on the quality
of service they are receiving. This
will enable PT service providers to
improve the quality of service.
Provide a system to retreive and
analyse stop specific information
where information on the level of
service provided by the user can
be received via an APP. Develop
a system to engage the public
that measures and improves PT
performance while offering the
customer an alternative selection
of stops through the analysis
provided.

6. Existing data endpoint are geared
to users with sufficient expertise
to interpret the information.
Provide a quality assured,
scientifically sound data endpoint
which can be used by any existing
routing application to identify the
healthiest route alternative.
8- Targeted Public
5- Transnational Twinning
Département du Loiret and all
consortium members who plan to
use hackathons to refine the idea.
API Healthiest Route
2- Aim
7- Planning and realisation
4- Need
3- Context
1- Issue
The air quality on the routes you
take is poor and this is not visible.
Pedestrians, cyclists, commuters,
planners, the public in general.
Make impact of poor air quality
more tangible to non- expert users.
Q1-2 2017: develop data
exchange model
Q1 2019: API
Q1 2020: demo implementation
in a routing app
6- Necessary data

7. Continuity in Traffic
Flow
2- Aim
6- Necessary data
7- Planning and realisation
4- Need
3- Context
Q1 2017: Test of real-time data
with WAZE
Q2 2017: Release of Open Data
Q2 2017: Procurement process
Q 3 2017: Procured
Q1 2018: Procurement for
development
Provide reliable information of
traffic flow disturbance to road
users “near real time”. Speed
improvement of road interventions
by combining crowdsourcing and
public data of local governments.
A vulnerable area with historical
flood events, with important logistic
poles and significant daily traffic
flow. In May/June 2016: large
flood in the Loiret and Orléans
Metropole. Road users, public administration,
private companies.
8- Targeted Public
5- Transnational Twinning
Dublin City Council, Rijkswaterstaat
1- Issue
All traffic impacts : roadworks,
congestions, floods, snow

8. 5- Transnational Twinning
Département du Loiret, Orléans
Métropole, Glasgow City Council
and Luxembourg Institute of
Science and Technology.
8- Targeted Public
Road managers, contractors,
insurance companies, knowledge
institutes.
Predictive
Maintenance of Roads
2- Aim
6- Necessary data
7- Planning and realisation
4- Need
3- Context
1- Issue
Obtaining data, cooperation and
collaboration with parties that:
- Are able to provide data
- Have expertise and thinking
power for innovative data
analyses.
Deploying innovative procurement
to facilitate SME’s to be involved.
Q2-Q3 2017: Design of challenge
combined with safer roads
2017-2018: Analyses, refinements,
prototype development
2018-2019: Prototype evolution
2019-2020: Product formulation
and dissemination to business
Pavement conditions, construction,
maintenance history, temperature
and dampness history, geodesy
and traffic engineering data, load
history and traffic intensity, road
use, number of accidents.
Save money and enhance road
safety by changing from time
programmed to condition based
maintenance of roads.
Road maintenance is very
important for traffic throughput and
safety. Traditionally maintenance
is planned yearly, thus often
untimely, making repairs more
expensive, jeopardizing traffic
safety and wasting public money.
Performing analyses on shared
and open data, to enable condition
based maintenance of asphalt
concrete road pavements and
to obtain safer roads.

9. 8- Targeted Public
5- Transnational Twinning
Vlaamse Milieumaatschappij
Smart Waste
Water Information
Management (SWWIM)
2- Aim
6- Necessary data 7- Planning and realisation
4- Need
3- Context
1- Issue
A lot of data is available but
not used. Moreover, the data is
separated among different parties
and databases.
Q2 2017: Project scope and
requirements
Q3 2017: Evaluation datasets
Q1 2018: Procurement/selection
Q3 2018: Implementation and
commissioning
- (Waste) Water Sector
- Public Sector
- Consultancy companies
- ICT companies
- Infrastructure Geo Data
- Data from sewers, pumping
stations, waste water treatment
plants
- Meteo data
- Maintainance data
Sharing data, improving
knowledge and understanding.
Better decisions on investments,
maintainance and operations.
12 Municipalities
2 Drinking Water Companies
1 Regional Water Authority
Advancing the existing data by
combining separate datasources.
Increasing control, oversight and
cost saving in the urban (waste)
water cycle.

10. Trace the route of the waste water:
- within the sewer and water
network
- upstream and downstream
- obtain a view on POI on the route
1- Issue
Minimize data gathering process
and making data analysis more
user friendly to allow a faster and
broader view on the situation,
source and destination.
8- Targeted Public
5- Transnational Twinning
Hoogheemraadschap van Delfland
Governmental and environmental
organizations, sewer system
managers, fire brigade.
Waste Water Tracing
2- Aim
6- Necessary data 7- Planning and realisation
4- Need
3- Context
Q1 - Q3 2017: Collection of data
Q2 - Q4 2017: Harmonisation Data
Q3 2017: Procurement process/
development start
Q1 2018: Start prototyping
Sewer data will be updated,
Hydrography data harmonised to
INSPIRE data specs.
Other data (POIs, precipitation,
protected areas) are available
Provide incident managers and
environmental actors with more
information by combining existing
data to improve the management
of the sewer network system.
Better understanding of source
and destination of waste water and
pollutants that can travel through
the waste water system.

11. 1- Issue
Ownership of sensordata, cyber
security and intellectual property of
algorithms.
8- Targeted Public
5- Transnational Twinning
Hoogheemraadschap van Delfland,
Vlaamse Milieumaatschappij and
Département du Loiret
Maintenance
contractors,
industry and IT
companies.
Vital Assets
2- Aim
7- Planning and realisation
4- Need
3- Context
Q2 2017: Start date
Optimizing the maintenance of
infrastructure and reducing costs
by using sensor data, open data
and data analyticts.
The ways and waterways are of
great importance for the Dutch
economy. But, the majority of
Dutch infrastructure is rather old
with high costs of failure due to
untimely maintenance.
Keeping our infrastructure healthy
by using data and data analytics
together with our maintenance
partners.
6- Necessary data
Data of
(energy)
sensors,
SCADA-data
and open
data such as
weather data.

12. 1- Issue
Achieving more effective and more
efficient services
8- Targeted Public
5- Transnational Twinning
Orléans Metropole and
Rijkswaterstaat
- Small/Medium Enterprises:
challenge fund environment
- Citizens – service users
Data 4 Organisational
Change
2- Aim
6- Necessary data
7- Planning and realisation
4- Need
3- Context
Q3 2017: Start Challenge
Q1 2018: Developed intervention
Q3 2018: Managed outcomes
- Understand the context and how
it changes
- Link with operational data to
show the effect of existing services
- Generate new services to drive
improvement
- Evaluate existing services to
identify suitable areas of activity
- Identify opportunities for service
improvement through use of data
- Link with existing service
providers to improve services
- Make better match between user
need and service provision
- Reduce duplication
- Develop predictive analysis
Use data to provide better services
at a reduced cost

13. 5- Transnational Twinning
Rijkswaterstaat
8- Targeted Public
- Insurance companies
- Users
- Road managers
Safer Roads with
less Money
2- Aim
4- Need
3- Context
1- Issue
Obtain free and anonymised data
from insurers to be able to use and
publish them.
Build a robust predictive model,
useful for decision-making and
intervention
2017: setting up the partnership
2018: operational predictive model
(prototype)
- Number of accidents and location
- Weather conditions
- Roads (layout, coatings, works)
Obtain anonymized data from
insured persons who have
reported a vehicle disaster.
Cross the data to identify areas
with a high likelihood of accidents
Little awareness of all accidents
occurring on the roads.
A better knowledge of the places,
periods and causes of material
accidents (the most frequent)
could improve infrastructure or
information given to users
Reducing probability of accidents
by influencing infrastructure and
user information via an IT solution.
Reduce management and
maintenance costs by targeting
and better planning interventions
6- Necessary data 7- Planning and realisation

14. Enhance the Value
of the Area Potentials
2- Aim
6- Necessary data
7- Planning and realisation
4- Need
3- Context
1- Issue
Development of innovative digital
tools to enhance the area values.
Q3 2017: Data will be available
Q4 2017: Procurement process
Q1 2018: Procured
Area promotion and marketing.
Popularization of biodiversity,
environmental awareness of
the general public. Involvement
of public companies to make
commercial use of the area.
Rijkswaterstaat
Citizens (families, business
tourists, schools), public
administration, private companies.
8- Targeted Public
5- Transnational Twinning
An area listed as an UNESCO
World Heritage.
The Loire is the last wild river of
Europe. An exceptional natural
and historical heritage.