movilidad

Just a few days ago, the Directorate General of Traffic published the new Framework Programme for the Testing of Automated Vehicles which, among other measures, contemplates "the mandatory delivery of reports, both periodic and final and in the event of incidents, which will allow the DGT to assess the safety of the tests and publish basic information [...] guaranteeing transparency and public trust."

The advancement of digital technology is making it easier for the transport sector to face an unprecedented revolution in autonomous vehicle driving, offering significant improvements in road safety, energy efficiency and mobility accessibility.

The final deployment of these vehicles depends to a large extent on the availability, quality and accessibility of large volumes of data, as well as on an appropriate legal framework that ensures the protection of the various legal assets involved (personal data, trade secrets, confidentiality, etc.), traffic security and transparency. In this context, open data and the reuse of public sector information are essential elements for the responsible development of autonomous mobility, in particular when it comes to ensuring adequate levels of traffic safety.

Data Dependency on Autonomous Vehicles

The technology that supports autonomous vehicles is based on the integration of a complex network of advanced sensors, artificial intelligence systems and real-time processing algorithms, which allows them to identify obstacles, interpret traffic signs, predict the behavior of other road users and, in a collaborative way, plan routes completely autonomously.

In the autonomous vehicle ecosystem, the availability of quality open data is strategic for:

• Improve road safety, so that real-time traffic data can be used to anticipate dangers, avoid accidents and optimise safe routes based on massive data analysis.
• Optimise operational efficiency, as access to up-to-date information on the state of roads, works, incidents and traffic conditions allows for more efficient planning of journeys.
• To promote sectoral innovation, facilitating the creation of new digital tools that facilitate mobility.

Specifically, ensuring the safe and efficient operation of this mobility model requires continuous access to two key categories of data:

• Variable or dynamic data, which offers constantly changing information such as the position, speed and behaviour of other vehicles, pedestrians, cyclists or weather conditions in real time.
• Static data, which includes relatively permanent information such as the exact location of traffic signs, traffic lights, lanes, speed limits or the main characteristics of the road infrastructure.

The prominence of the data provided by public entities

The sources from which such data come are certainly diverse. This is of great relevance as regards the conditions under which such data will be available. Specifically, some of the data are provided by public entities, while in other cases the origin comes from private companies (vehicle manufacturers, telecommunications service providers, developers of digital tools...) with their own interests or even from people who use public spaces, devices and digital applications.

This diversity requires a different approach to facilitating the availability of data under appropriate conditions, in particular because of the difficulties that may arise from a legal point of view. In relation to Public Administrations, Directive (EU) 2019/1024 on open data and the reuse of public sector information establishes clear obligations that would apply, for example, to the Directorate General of Traffic, the Administrations owning public roads or municipalities in the case of urban environments. Likewise, Regulation (EU) 2022/868 on European data governance reinforces this regulatory framework, in particular with regard to the guarantee of the rights of third parties and, in particular, the protection of personal data.

Moreover, some datasets should be provided under the conditions established for dynamic data, i.e. those "subject to frequent or real-time updates, due in particular to their volatility or rapid obsolescence", which should be available "for re-use immediately after collection, through appropriate APIs and,  where appropriate, in the form of a mass discharge."

One might even think that the high-value data category  is of particular interest in the context of autonomous vehicles given its potential to facilitate mobility, particularly considering its potential to:

• To promote technological innovation, as they would make it easier for manufacturers, developers and operators to access reliable and up-to-date information, essential for the development, validation and continuous improvement of autonomous driving systems.
• Facilitate monitoring and evaluation from a security perspective, as transparency and accessibility of such data are essential prerequisites from this perspective.
• To boost the development of advanced services, since data on road infrastructure, signage, traffic and even the results of tests carried out in the context of the aforementioned Framework Programme constitute the basis for new mobility applications and services that benefit society as a whole.

However, this condition is not expressly included for traffic-related data in the definition made at European level, so that, at least for the time being, public entities should not be required to disseminate the data that apply to autonomous vehicles under the unique conditions established for high-value data. However, at this time of transition for the deployment of autonomous vehicles, it is essential that public administrations publish and keep updated under appropriate conditions for their automated processing, some datasets, such as those relating to:

• Road signs and vertical signage elements.
• Traffic light states and traffic control systems.
• Lane configuration and characteristics.
• Information on works and temporary traffic alterations.
• Road infrastructure elements critical for autonomous navigation.

The recent update of the official catalogue of traffic signs, which comes into force on 1 July 2025, incorporates signs adapted to new realities, such as personal mobility. However, it requires greater specificity with regard to the availability of data relating to signals under these conditions. This will require the intervention of the authorities responsible for road signage.

The availability of data in the context of the European Mobility Area

Based on these conditions and the need to have mobility data generated by private companies and individuals, data spaces appear as the optimal legal and governance environment to facilitate their accessibility under appropriate conditions.

In this regard, the initiatives for the deployment of the European Mobility Data Space, created in 2023, constitute an opportunity to integrate into its design and configuration measures that support the need for access to data required by autonomous vehicles. Thus, within the framework of this initiative, it would be possible to unlock the potential of mobility data , and in particular:

• Facilitate the availability of data under conditions specific to the needs of autonomous vehicles.
• Promote the interconnection of various data sources linked to existing means of transport, but also emerging ones.
• Accelerate the digital transformation of autonomous vehicles.
• Strengthen the digital sovereignty of the European automotive industry, reducing dependence on large foreign technology corporations.

In short, autonomous vehicles can represent a fundamental transformation in mobility as it has been conceived until now, but their development depends, among other factors, on the availability, quality and accessibility of sufficient and adequate data. The Sustainable Mobility Bill currently being processed in Parliament is a great opportunity to strengthen the role of data in facilitating innovation in this area, which would undoubtedly favour the development of autonomous vehicles. To this end, it will be essential, on the one hand, to have a data sharing environment that makes access to data compatible with the appropriate guarantees for fundamental rights and information security; and, on the other hand, to design a governance model that, as emphasised in the Programme promoted by the Directorate-General for Traffic,  facilitates the collaborative participation of "manufacturers, developers, importers and fleet operators established in Spain or the European Union", which poses significant challenges in the availability of data.

Content prepared by Julián Valero, Professor at the University of Murcia and Coordinator of the Research Group "Innovation, Law and Technology" (iDerTec). The contents and points of view reflected in this publication are the sole responsibility of its author.

This application shows the location of charging stations for electric vehicles within the Community of Castilla y León. The user can select the province of interest and access information on the available stations. For each station, various information is provided, such as its location, the supplier company, the number of charging stations and the available connectors. 

In addition, within the app the user can also find information on incentive programmes for electric mobility, such as the MOVES III Plan. 

The geographical data of these chargers have been obtained from the servers of the public platform of Open Data of Castilla y León. 

Translated with DeepL.com (free version)

Designed with data from the Community of Madrid, this initiative has made it possible to monitor the recovery process after COVID-19 in sectors such as transport, tourism and public safety.

The tool has been developed with the aim of understanding not only the impact, but also the degree of recovery that some services and activities have experienced after the pandemic in Madrid.

Thus, through open data portals, the application offers interactive visualizations with the following variables:

• Municipal police
  
  •  Citizen safety information
  • Alcohol consumption on public roads
  • Inspections and actions in premises
• Tourism
  
  • Number of nights and average price at Airbnb
• Mobility and transportation
  
  • Occupancy rate of parking lots in the city of Madrid
  • Metro ridership
  • BiciMAD movements
  • Google mobility transportation stations
• COVID-19
  
  • Cumulative incidence rate

In each panel, conclusions can be known based on data on the state of recovery of each parameter, a situation that varies depending on the sector. While on-street drinking and AirbnB tourism see higher activity, metro ridership is still lower than pre-pandemic data. 

Open data sources are: 

• Community of Madrid open data catalog for the cumulative rate of contagion in the community of Madrid: https://datos.comunidad.madrid/catalogo/dataset
• EMT Madrid open dataset for BICIMAD data: https://opendata.emtmadrid.es/Datos-estaticos/
• Madrid metro website data for Madrid metro ridership data: https://www.metromadrid.es/es/transparencia/proyectos-y-datos#panel1
• Google mobility local mobility reports for citizen mobility data: https://www.google.com/covid19/mobility/

Last March 13th, a session of the Mobility Working Group of the Gaia-X Spain Hub was held, addressing the main challenges of the sector regarding projects related to data sharing and exploitation. The session, which took place at the Technical School of Civil Engineers of the Polytechnic University of Madrid, allowed attendees to learn firsthand about the main challenges of the sector, as well as some of the cutting-edge data projects in the mobility industry. The event was also a meeting point where ideas and reflections were shared among key actors in the sector.

The session began with a presentation from the Ministry of Transport, Mobility, and Urban Agenda, which highlighted the great importance of the National Access Point for Multimodal Transport, a European project that allows all information on passenger transport services in the country to be centralized in a single national point, with the aim of providing the foundation for driving the development of future mobility services.

Next, the Data Office of the State Secretariat for Artificial Intelligence (SEDIA) provided their vision of the Data Spaces development model and the design principles of such spaces aligned with European values. The importance of business networks based on data ecosystems, the intersectoral nature of the Mobility industry, and the significant role of open data in the sector's data spaces were highlighted.

Next, use cases were presented by Vicomtech, Amadeus, i2CAT, and the Alcobendas City Council, which allowed attendees to learn firsthand about some examples of technology use for data sharing projects (both data spaces and data lakes).

Finally, an initial study by the i2CAT Foundation, FACTUAL Consulting, and EIT Urban Mobility on the basic components of future mobility data spaces in Spain was presented. The study, which can be downloaded here in Spanish, addresses the potential of mobility data spaces for the Spanish market. Although it focuses on Spain, it takes a national and international research approach, framed in the European context to establish standards, develop the technical components that enable data spaces, the first flagship projects, and address common challenges to achieve milestones in sustainable mobility in Europe.

The presentations used in the session are available at this link.

In any project related to data, it is common to have different sources of information. Data is key for companies and public administrations, in decision making or as a basis for the implementation of projects, services or products. But if these data sources display information in a heterogeneous way, it is difficult to operate.

In the world of open data, each administration covers a different scope, be it territorial - municipal, provincial, regional or national - or jurisdictional - for example, each ministry deals with data from a specific area: ecological transition, health, mobility, etc. -. To be able to carry out projects that cover several areas, we will need interoperable data. Otherwise, the exchange and integration of data within and between organisations will be incompatible.

Why is data harmonisation important?

Today, public administrations manage large amounts of data in different formats, with different management methods. It is common to host multiple copies in many different repositories. These data are often disseminated in portals across Europe without any harmonisation in terms of content and presentation. This explains the low level of re-use of existing information on citizens and businesses. Harmonisation of information allows for consistent and coherent data in a way that is compatible and comparable, unifying formats, definitions and structures.

This shaping of data can be done individually for each project, but it entails a high cost in terms of time and resources. It is therefore necessary to promote standards that allow us to have already harmonised data. Below are several examples of initiatives that advocate the search for common requirements, which are included in this visual:

Ministry of Transport, Mobility and Urban Agenda

The Ministry of Transport, Mobility and Urban Agenda is working on a National Access Point (PAN, in its Spanish singles) where unified data on different modes of transport is collected. The creation of this portal responds to compliance with Commission Delegated Regulation (EU) 2017/1926, which establishes the obligation for authorities, operators, managers and providers of transport services to provide information on multimodal journeys in the EU, based on a series of specifications that ensure its availability and reliability. Among other issues, it indicates that the content and structure of the relevant travel and traffic data need to be adequately described using appropriate metadata.

The creation of this Single Access Point was published in the Official State Gazette (BOE) on 22 February. The text indicates that the minimum universal traffic information related to road safety will be made public, whenever possible and free of charge, with a special focus on real-time services.

At the moment, the PAN has data from the DGT, the Basque Government, the Generalitat de Catalunya, the Madrid City Council and the company Tomtom.

Spanish Federation of Municipalities and Provinces

The Spanish Federation of Municipalities and Provinces (FEMP, in its Spanish singles) has an open data group that has developed two guides to help municipalities implement open data initiatives. One of them is the proposal of 40 datasets that every administration should open to facilitate the reuse of public sector information. This guide not only seeks uniformity in the categories of data published, but also in the way they are published. A fact sheet has been created for each proposed dataset with information on update frequency, formats or recommended display form.

FEMP's future plans include reviewing the datasets published so far to assess whether to add or remove datasets and to include new practical examples.

Also in the field of cities, there is an initiative to further ground the harmonisation of a limited subset of datasets carried out in the framework of the Ciudades Abiertas project, with the collaboration of Red.es. The city councils participating in the project - A Coruña, Madrid, Santiago de Compostela and Zaragoza - have agreed on the opening of 27 harmonised datasets. Currently, common vocabularies have been developed for 16 of them and work continues on the others.

ASEDIE and its Top 3

In 2019, the Multisectoral Information Association (ASEDIE) launched an initiative for all Autonomous Communities to fully open three sets of data: the databases of cooperatives, associations and foundations. It was also proposed that they should all follow unified criteria to facilitate their reuse, such as the incorporation of the NIF of each of the entities.

The results have been very positive. To date, 15 autonomous communities have opened at least two of the three databases. The database of Associations has been opened by all 17 Autonomous Communities.

In 2020, ASEDIE proposed a new Top 3 and started to promote the opening of new databases: commercial establishments, industrial estates and SAT registers. However, due to the fact that not all Autonomous Regions have a register of commercial establishments (because it is not a regional competence), this dataset has been replaced by the Register of Energy Efficiency Certificates.

UniversiData

UniversiData is a collaborative project to promote open data linked to higher education in Spain in a harmonised way. To date, five universities have joined the project: Universidad Autónoma de Madrid, Universidad Complutense de Madrid, Universidad Rey Juan Carlos, Universidad de Valladolid and Universidad Carlos III de Madrid (UC3M).

Within the framework of the project, the "Common Core" specification has been developed, with the aim of providing answers to two questions that the universities ask themselves when opening their data: What datasets should I publish? And how should I do it? That is to say, with which fields, granularity, formats, encodings, frequency, etc. The Common Core coding has been created in accordance with the Law on Transparency, Access to Public Information and Good Governance. Two University Transparency Rankings have also been considered for its development (that of the Fundación Compromiso y Transparencia and that of Dyntra), as well as the document "Towards an Open University: Recommendations for the S.U.E.", of the Conference of Rectors of Spanish Universities (CRUE).

All these initiatives show how data harmonisation can improve the usefulness of data. If we have unified data, its reuse will be easier, as the time and cost of its analysis and management will be reduced.

Content prepared by the datos.gob.es team.

Open mobility data plays a key role in transforming current transport networks and systems, promoting their digitization and improving their sustainability and efficiency. The European Union is aware of this situation, and for this reason it has not only included mobility data among the categories considered of high value in the directive (EU) 2019/1024, but also highlighted its importance in the new "Sustainable and smart mobility strategy", including lines of action related to its impulse, how we approach previously.

In this new article we are going to focus on the situation in Spain, where measures related to open data have also been included in the national mobility strategy.

The Secure, Sustainable, Connected Mobility Strategy 2030

The Secure, Sustainable, Connected Mobility Strategy 2030 (es.movilidad) published by the Ministry of Transport, Mobility and Urban Agenda (MITMA) in September 2020 recognizes the importance of open data in the process of digitization and automation of transport, as well as the regulatory challenges posed by collection conditions, transfer and access to the data generated in the different parts of the value chain. For this reason, the strategy proposes that a future Law on Sustainable Mobility and Transport Financing addresses these issues, offering solutions that eliminate barriers to the opening of data andwhat guarantee the privacy of users and the protection of different business strategies.

Although they are present in other measures, in axis 5 (Intelligent Mobility) of the Strategy there are four measures, three of them within the line of action for the Facilitation of Mobility as a Service, Open Data and New Technologies for Analysis and Optimization of Mobility, in which open data explicitly plays a prominent role:

• To the extent designed to promote the publication of open mobility data from MITMA in coordination with the data.gob.es platform aims to adopt a proactive role in making open data available (both planned and in real operation) that are relevant to society.
• The implementation of the National Data Access Point for multimodal travel aims to create a single repository of open transport data (schedules, fares, routes, geographical coordinates of stops, etc.) provided by transport authorities, operators, providers of shared mobility services or transport services on demand, infrastructure managers, etc. anyway at the national level. In this sense, it should be noted that MITMA intends to go beyond the mandatory minimum and create three other national access points (real-time traffic, safety information in relation to traffic and safe parking for freight transport).
• To promote the development of mobility applications, guaranteeing the availability of quality and real-time data, MITMA will analyze the convenience of promoting complementary regulation so that all transport operators, infrastructure managers, and transport service providers on demand. provide dynamic, reliable and real-time data of their transport services to be made available to third parties.
• Finally the design and implementation of the SIMPLE technology platform, also foresees the reuse of information throughout the logistics and transport chain, based on the principle of providing unique data only once. This platform will allow to know the traceability of goods in the different means of transport and, on the other hand, will allow the interconnection between the Public Administration and the different agents of the private logistics sector to facilitate trade and transport, nationally and internationally.

These measures are summarized in the following image:

On the other hand, a request for expressions of interest to identify proposals for the integration of artificial intelligence in the value chains of the economy in order to promote the digital transformation of the economic fabric, within the framework of Recovery Plan. And one of the five axes on which one's own National Artificial Intelligence Strategy (ENIA) recognizes the impact of AI and data is of course, sustainable and smart mobility. It should be noted that it is an invitation aimed at projects in the phases closest to the market of the innovation process based on medium to high maturity technologies (TRL 6 onwards) as a complement to R&D support actions.

Now that the pandemic period is coming to an end, the economic recovery effort opens up fascinating opportunities for innovation and digital transformation in sectors where the penetration of artificial intelligence and the use of data so far has been much lower than the sector of the information technologies, something that not only happens in mobility and transport but also in the farming, energy or health and education.

We are therefore faced with a unique opportunity that we cannot afford to miss; which is also accompanied by a significant boost in the form of public financing and in which transport and mobility stand out due to their impact not only on the economy, but also on the environment and on the quality of life of citizens.

Content written by Jose Luis Marín, Senior Consultant in Data, Strategy, Innovation & Digitalization.

The contents and points of view reflected in this publication are the sole responsibility of its author.

More than two years ago we started 2019 very hopeful about the progress that was being made in Spain regarding the openness of data related to transport and mobility, after a few years in which there had not been much progress. Although there is still room for improvement, especially in the availability of open data in real time, the fact that applications in the transport category already represent 20% of the total published on the datos.gob.es portal serves as an indicator of progress in this period.

In these two years, the pace of innovation in everything related to the use of data and artificial intelligence has been accelerated not only by technological progress, but also by a significant legislative impulse, both at European and national level. For example, the new Directive (EU) 2019/1024 considers data related to mobility and transport to be among the six groups declared to be of high value for their considerable benefits to society, the environment and the economy. Therefore, their momentum has been considered in the new mobility strategy.

European framework for mobility data

The European data strategy published in 2020 has among its objectives to create a single data market that ensures Europe's global competitiveness and data sovereignty through the creation of common European data spaces in nine strategic sectors, capable of ensuring that more data are available for use in the economy and society. Actions leading to the development of these data spaces are being channelled through the different strategies that the European Commission is developing to deliver on the priorities set for the period 2019-2024. Some examples already under development are the common manufacturing data space or the common agricultural data space.

As regards transport, in December 2020 the European Commission presented its "Sustainable and Smart Mobility Strategy" accompanied by an action plan of 82 initiatives for the next 4 years that will contribute to achieving the objectives of the European Green Pact. This strategy lays the groundwork for how the EU transport system must achieve its green and digital transformation to become more resilient to future crises.

Although the role of data is present in most of the points, among the ten key actions there is one that focuses exclusively on the role of data. In Action 7: "Innovation, data and artificial intelligence for smarter mobility", in addition to the objectives related to fostering innovation in general and building adequate digital infrastructures, the following points related to data and artificial intelligence stand out:

• The Commission stresses the need to step up efforts related to data availability, access and exchange in order to make the digital transformation of the transport and mobility sector a reality.
• It recognises that the availability of data and statistics is also essential, especially real-time data, as it enables better services to citizens or transparency of supply chains in freight transport.
• The need to remove barriers such as unclear regulatory conditions, the absence of an EU market for data provision, the lack of an obligation to collect and share data or misgivings about data sovereignty, among others, is highlighted.
• The commitment to propose further actions to build a common European data space for mobility data, set out in the Data Strategy, is developed. This sets the objective of collecting, connecting and making data available to achieve the objectives of sustainability and multimodality.
• Of particular relevance is the commitment that the mobility data space should work in synergy with other key systems such as energy, satellite navigation and telecommunications.
• It deals in a very differentiated way with access to vehicle data where the Commission is committed to present a new initiative on access to vehicle data, through which it will propose a balanced framework to ensure fair and efficient access to vehicle data for mobility service providers.
• The Commission plans to fund research, innovation and deployment of transport solutions based on artificial intelligence through the Horizon Europe and Digital Europe programmes, recognising that artificial intelligence is central to the automation of transport in all its modes. In this context, the Commission will support test and experimentation centres dedicated to AI for smart mobility.

This is certainly a very ambitious set of commitments that must also be compatible with EU data protection rules and ensure a level playing field for data in the value chain, so that innovation can flourish and new business models emerge. Otherwise operators would perceive that the common mobility data space is not secure and reliable for sharing their data and it would be very difficult to meet the ambitious targets that already by 2030 aim for automated mobility to be deployed on a large scale and for multimodal passenger transport to be a reality supported by integrated e-ticketing.

Contenido elaborado por Jose Luis Marín, Senior Consultant in Data, Strategy, Innovation & Digitalization.

The contents and views expressed in this publication are the sole responsibility of the author.

Data related to mobility and transport are among the most demanded by users and re-users. The European Union itself considers them as high-value data, according to the preliminary classification included in Directive (EU) 2019/1024, due to their "considerable benefits for society, the environment and the economy".

The opening and re-use of transport data brings benefits for all:

• Public bodies. Detailed information, often in real time, helps public authorities to make decisions aimed at efficient infrastructure management and service improvement. It also helps to reduce costs, as demonstrated several years ago in the UK’s Transport for London (ODImpact) study by the GovLab.
• Private transport companies. Private public transport operators, mobility service providers and private infrastructure managers also need reliable information to understand the different variables that affect their business and to act accordingly, adapting their services to users' needs.
• Businesses and re-users. The openness of transport data stimulates economic growth. There is a huge market for applications based on transport data. You only need to take a look at the applications section of our portal to see that almost 20% of the applications highlighted are related to this category: applications that provide information on traffic conditions, public service timetables, the best routes to reach the requested destination, etc.
• Citizens. Thanks to these solutions, citizens can, for example, plan their journey in advance, thus saving time, and benefit from more efficient, accessible and sustainable transport.

What kind of data related to mobility and transport can I find in datos.gob.es?

At datos.gob.es we have an extensive catalogue of data related to mobility. There are currently 1,820 datasets grouped under a category called "Transport", following the cataloguing rules set out in the Technical Interoperability Standard (NTI, in its Spanish acronym). Based on this standard, this category includes communications and traffic datasets, such as data on traffic control, registrations, accidents, civil aviation, land transport (road and rail) or merchant navy, among others.

Most of these datasets are in CSV (1,333) and JSON (1,113) format, facilitating their re-use. There are state, regional and local data. The publishers that share the most data of this type are the National Statistics Institute (INE), Gijón City Council, the Autonomous Community of the Basque Country and Madrid City Council.

The most important of these datasets are listed below, together with the format in which they can be consulted:

At the state level

• INE. Movement of people by mobility areas. Daily. National. CSV, XLSX, XLS, HTML, PC-Axis, JSON.
• Port Authority of Barcelona. Railway services of the Port of Barcelona. RDF-XML.
• Port Authority of the Balearic Islands. Maritime traffic forecast. CSV, HTML.
• Renfe – Operator. List of Alta Velocidad, Larga Distancia and Media Distancia stations. CSV, XLSX.
• Central Trafficking Office. Driver census. CSV, XLS.
• Central Trafficking Office. Traffic accidents with victims. XLS

At Autonomous Community level

• Autonomous Community of the Canary Islands. Vehicles registered according to type of vehicle and services by Canary Islands and time periods.  HTML, JSON, PC-Axis.
• Basque Government. Transport and mobility resources in the Basque Country. KML, Api, GeoJSON, XML, RSS, JSON, XLSX.
• Government of Catalonia. Monthly electrified and hybrid vehicle registrations in Catalonia. XML-APP, CSV, JSON, RDF-XML.
• Government of Catalonia. Real time road incidents in Catalonia. RSS, XML-APP.
• Government of the Balearic Islands. Mallorca Car Rental Agencies. RDF-XML, CSV, XML-APP, JSON.
• Government of Aragon. Mobility analysis with Big Data. CSV, JSON, XLS, XML-APP.
• Castilla y Leon Government. Statistics on passenger cars. CSV, RDF-XML, JSON.
• Andalusian Government. Data from the Andalusian Network of Transport Consortiums. JSON.
• Government of Valencia. GTFS of itineraries and timetables of intercity public transport services by bus. ZIP.

At local level

• Madrid City Council. Bicycle. Quiet streets. KML, ZIP, XLS, CSV.
• La Palma Island Council. Road and track infrastructures. HTML, JSON.
• Barcelona City Council. Surface parking spots rates' information in the city of Barcelona. CSV.
• Santiago de Compostela City Council. Real time traffic observations. CSV, GML, JSON.
• Alcoy City Council. Charging points. KML, ZIP, JSON.
• Terrasa City Council. Petrol stations. CSV.
• Santander City Council. TUS sales/recharge points. HTML, RDF-XML, CSV, RDF-Turtle, RDF-N3, JSON, XML-APP, JSON-LD, Atom.
• Caceres City Council. Caceres Monumental City car park. XLS, GeoJSON, JSON, RDF-Turtle, CSV, SPARQL.
• Pamplona City Council. Car park occupancy in real time. XML-APP.

In addition, the Ministry of Transport, Mobility and Urban Agenda is publishing new datasets. Specifically, the data on mobility in Spain during the COVID-19 pandemic at national level. These data, which are now openly available on the Ministry's website, are the result of the Mobility Study with Big Data carried out to assess the effectiveness of the mobility restriction measures adopted during the state of alarm and to support decision-making.

Some examples of re-use of mobility-related data

As we saw earlier, data related to mobility is a great raw material for the impulse of ingenuity and creativity in the form of new products and services. The best known are the applications that provide information on the timetables of public transport services or the most suitable routes and means of transport for each journey, but there are many more.

In our section on reusing companies we find some organisations that have taken advantage of this data to develop new businesses. One example is Canard Drones, which develops and markets solutions for the verification and calibration of navigation aids (NAVAID) and runway inspection, using public data. Another example is remOT Technologies and its RuralMaps application, which facilitates GPS navigation on roads in rural environments by indicating the optimal and fastest route to reach the desired destination, saving cost and time for agricultural technicians and emergency services.

Transport data can also be used to enrich tourism applications and improve the experience of visitors, who can find all the information they need to enjoy their stay (hotels, transport, points of interest, etc.) on a single platform. Or they can help to improve the architecture of cities: the data collected can be used to define spaces that are more suitable for the common good in cities, for example, the necessary width of pavements.

With the rise of smart cities, with IoT devices collecting data to manage assets and resources efficiently, we can expect more and more mobility data to become available. Data that can be queried, enriched with new data, and used to create valuable applications and services.

We live in a world where travellers' needs and habits are constantly evolving, and there is a growing demand for efficiency and flexibility in mobility options. Open data can help respond to this demand, while driving economic development.

For one more year, the VI Data Journalism and Open Data Workshop takes place at Medialab Prado (Alameda 15, Madrid), on this occasion organized by "Datalab". This is a meeting aimed at journalists, programmers or anyone interested in generating content using data. The meeting takes place between April 19 and 22 with the participation of different representatives from public administrations, companies, research groups, social organizations and experts.

This event is part of the Data Journalism Workshop, composed of 5 sessions (we spoke about it in a previous article). The topics included in the current agenda revolve around the Sustainable Development Goals (also known by the acronym SDG or Agenda 2030, because we project these objectives towards 2030), a project approved by the UN for "end poverty, protect the planet and ensure prosperity".

Under the slogan, Data of the SDGs, the different sessions of this Conference focus on the fight against climate change, including different aspects related to the environment in Madrid region. The objective is to create an inclusive event, where participants can acquire knowledge, share their opinion and establish relationships that encourage the creation of data-based stories.

The meeting begins on Thursday 19 at 10 in the morning with a session dedicated to "mobility data", whit the participation of Madrid City data portal, EMT (Municipal Transport Company of Madrid) and its MobilityLabs, among other. On the afternoon, there is a critical session on the SDGs, with the participation of Carmen Borja Segade, of ISI Argonauta, José Manuel Naredo, economist and statistician, and Ignacio Santos Molina, consultant on environment, development and international cooperation.

On Friday 20 in the morning, there is a symposium of touristification data, one of the contents that has created most interest, organized together with Montera 34. This symposium include, in the afternoon, the beginning of the touristic data workshop. During 3 sessions - Friday afternoon and Saturday and Sunday morning - we manage some tools for obtaining, cleaning and analyzing data. The objective is to collectively produce a report that helps to understand the impact of rental platforms for tourist accommodation in Madrid, using the question and answer method.

In addition to these contents, the VI Data Journalism and Open Data Workshop is also useful to present different initiatives related to data and SDGs, such as the Tipi Ciudadano project (Friday 20, 18 hours), an online tool that facilitate to follow the activity of @Congreso_es related to poverty and inequality, with its scanner and personalized warning system – in July 2018 it will also focus on compliance with the SDGs-; the Innovation and Human Rights project (Saturday 21, 18 hours) that promotes innovation to protect human rights; the presentation of the projects approved in the first round of data journalism workshop (Saturday 21, 16 hours); the session of JournoCodersMAD (Saturday 21, 17 hours); or the latest news in data training according to the "Specialization Diploma in Data Journalism and Visualization of Blanquerna".

You can see the full and updated agenda on its website and you can follow the ewent through the hashtags #datosods or #jpd18, or the accounts @datalabx and @jpdatos on Twitter.

Es una aplicación para dispositivos móviles, disponible para Android, que diseña itinerarios óptimos en la ciudad de Valladolid para ciclistas urbanos. Realiza cálculos de rutas urbanas priorizando el recorrido por la red de carriles-bici existentes en la ciudad.Esta aplicación de movilidad basada en información abierta calcula la ruta, desde la ubicación del usuario hasta el punto de préstamo público de bicis o aparcabicis más cercano, y ofrece un visor web.

Utiliza la red de carriles bici existente y propone al usuario itinerarios urbanos seguros para circular de un punto a otro de la ciudad, a través de 7 "líneas virtuales", cuyo trazado se asemeja a un plano de metro urbano. También recoge los puntos en los que existen aparcamientos para bicicletas y las estaciones del sistema de alquiler de bicicletas municipal "VallaBici", facilitando el enlace con este sistema para obtener información sobre disponibilidad de bicicletas.

Utiliza datos abiertos sobre el número de usuarios de bicicleta y sus itinerarios, así como el uso que hacen de los sistemas públicos de préstamo de bicicletas.